diff --git a/.idea/InteractiveProgramming.iml b/.idea/InteractiveProgramming.iml
new file mode 100644
index 00000000..e98082ab
--- /dev/null
+++ b/.idea/InteractiveProgramming.iml
@@ -0,0 +1,12 @@
+
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\ No newline at end of file
diff --git a/.idea/inspectionProfiles/Project_Default.xml b/.idea/inspectionProfiles/Project_Default.xml
new file mode 100644
index 00000000..06bb0314
--- /dev/null
+++ b/.idea/inspectionProfiles/Project_Default.xml
@@ -0,0 +1,12 @@
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\ No newline at end of file
diff --git a/.idea/misc.xml b/.idea/misc.xml
new file mode 100644
index 00000000..c2749e35
--- /dev/null
+++ b/.idea/misc.xml
@@ -0,0 +1,4 @@
+
+
+
+
\ No newline at end of file
diff --git a/.idea/modules.xml b/.idea/modules.xml
new file mode 100644
index 00000000..39eb9169
--- /dev/null
+++ b/.idea/modules.xml
@@ -0,0 +1,8 @@
+
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+
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+
+
\ No newline at end of file
diff --git a/.idea/vcs.xml b/.idea/vcs.xml
new file mode 100644
index 00000000..94a25f7f
--- /dev/null
+++ b/.idea/vcs.xml
@@ -0,0 +1,6 @@
+
+
+
+
+
+
\ No newline at end of file
diff --git a/.idea/workspace.xml b/.idea/workspace.xml
new file mode 100644
index 00000000..5df110b4
--- /dev/null
+++ b/.idea/workspace.xml
@@ -0,0 +1,594 @@
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+ Python
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+ PyPep8Inspection
+
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+ 1520353040702
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+ 1520353040702
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\ No newline at end of file
diff --git a/Bokeh Archive/Bokeh 5-minute Overview .ipynb b/Bokeh Archive/Bokeh 5-minute Overview .ipynb
new file mode 100644
index 00000000..38ac14cd
--- /dev/null
+++ b/Bokeh Archive/Bokeh 5-minute Overview .ipynb
@@ -0,0 +1,589 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [],
+ "source": [
+ "from bokeh.plotting import figure \n",
+ "from bokeh.io import output_notebook, show"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "
\n",
+ "
\n",
+ "
Loading BokehJS ... \n",
+ "
"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/javascript": [
+ "\n",
+ "(function(root) {\n",
+ " function now() {\n",
+ " return new Date();\n",
+ " }\n",
+ "\n",
+ " var force = true;\n",
+ "\n",
+ " if (typeof (root._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n",
+ " root._bokeh_onload_callbacks = [];\n",
+ " root._bokeh_is_loading = undefined;\n",
+ " }\n",
+ "\n",
+ " var JS_MIME_TYPE = 'application/javascript';\n",
+ " var HTML_MIME_TYPE = 'text/html';\n",
+ " var EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n",
+ " var CLASS_NAME = 'output_bokeh rendered_html';\n",
+ "\n",
+ " /**\n",
+ " * Render data to the DOM node\n",
+ " */\n",
+ " function render(props, node) {\n",
+ " var script = document.createElement(\"script\");\n",
+ " node.appendChild(script);\n",
+ " }\n",
+ "\n",
+ " /**\n",
+ " * Handle when an output is cleared or removed\n",
+ " */\n",
+ " function handleClearOutput(event, handle) {\n",
+ " var cell = handle.cell;\n",
+ "\n",
+ " var id = cell.output_area._bokeh_element_id;\n",
+ " var server_id = cell.output_area._bokeh_server_id;\n",
+ " // Clean up Bokeh references\n",
+ " if (id !== undefined) {\n",
+ " Bokeh.index[id].model.document.clear();\n",
+ " delete Bokeh.index[id];\n",
+ " }\n",
+ "\n",
+ " if (server_id !== undefined) {\n",
+ " // Clean up Bokeh references\n",
+ " var cmd = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n",
+ " cell.notebook.kernel.execute(cmd, {\n",
+ " iopub: {\n",
+ " output: function(msg) {\n",
+ " var element_id = msg.content.text.trim();\n",
+ " Bokeh.index[element_id].model.document.clear();\n",
+ " delete Bokeh.index[element_id];\n",
+ " }\n",
+ " }\n",
+ " });\n",
+ " // Destroy server and session\n",
+ " var cmd = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n",
+ " cell.notebook.kernel.execute(cmd);\n",
+ " }\n",
+ " }\n",
+ "\n",
+ " /**\n",
+ " * Handle when a new output is added\n",
+ " */\n",
+ " function handleAddOutput(event, handle) {\n",
+ " var output_area = handle.output_area;\n",
+ " var output = handle.output;\n",
+ "\n",
+ " // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n",
+ " if ((output.output_type != \"display_data\") || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n",
+ " return\n",
+ " }\n",
+ "\n",
+ " var toinsert = output_area.element.find(`.${CLASS_NAME.split(' ')[0]}`);\n",
+ "\n",
+ " if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n",
+ " toinsert[0].firstChild.textContent = output.data[JS_MIME_TYPE];\n",
+ " // store reference to embed id on output_area\n",
+ " output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
+ " }\n",
+ " if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
+ " var bk_div = document.createElement(\"div\");\n",
+ " bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
+ " var script_attrs = bk_div.children[0].attributes;\n",
+ " for (var i = 0; i < script_attrs.length; i++) {\n",
+ " toinsert[0].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
+ " }\n",
+ " // store reference to server id on output_area\n",
+ " output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
+ " }\n",
+ " }\n",
+ "\n",
+ " function register_renderer(events, OutputArea) {\n",
+ "\n",
+ " function append_mime(data, metadata, element) {\n",
+ " // create a DOM node to render to\n",
+ " var toinsert = this.create_output_subarea(\n",
+ " metadata,\n",
+ " CLASS_NAME,\n",
+ " EXEC_MIME_TYPE\n",
+ " );\n",
+ " this.keyboard_manager.register_events(toinsert);\n",
+ " // Render to node\n",
+ " var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
+ " render(props, toinsert[0]);\n",
+ " element.append(toinsert);\n",
+ " return toinsert\n",
+ " }\n",
+ "\n",
+ " /* Handle when an output is cleared or removed */\n",
+ " events.on('clear_output.CodeCell', handleClearOutput);\n",
+ " events.on('delete.Cell', handleClearOutput);\n",
+ "\n",
+ " /* Handle when a new output is added */\n",
+ " events.on('output_added.OutputArea', handleAddOutput);\n",
+ "\n",
+ " /**\n",
+ " * Register the mime type and append_mime function with output_area\n",
+ " */\n",
+ " OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
+ " /* Is output safe? */\n",
+ " safe: true,\n",
+ " /* Index of renderer in `output_area.display_order` */\n",
+ " index: 0\n",
+ " });\n",
+ " }\n",
+ "\n",
+ " // register the mime type if in Jupyter Notebook environment and previously unregistered\n",
+ " if (root.Jupyter !== undefined) {\n",
+ " var events = require('base/js/events');\n",
+ " var OutputArea = require('notebook/js/outputarea').OutputArea;\n",
+ "\n",
+ " if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
+ " register_renderer(events, OutputArea);\n",
+ " }\n",
+ " }\n",
+ "\n",
+ " \n",
+ " if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n",
+ " root._bokeh_timeout = Date.now() + 5000;\n",
+ " root._bokeh_failed_load = false;\n",
+ " }\n",
+ "\n",
+ " var NB_LOAD_WARNING = {'data': {'text/html':\n",
+ " \"\\n\"+\n",
+ " \"
\\n\"+\n",
+ " \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
+ " \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
+ " \"
\\n\"+\n",
+ " \"
\\n\"+\n",
+ " \"re-rerun `output_notebook()` to attempt to load from CDN again, or \\n\"+\n",
+ " \"use INLINE resources instead, as so: \\n\"+\n",
+ " \" \\n\"+\n",
+ " \"
\\n\"+\n",
+ " \"from bokeh.resources import INLINE\\n\"+\n",
+ " \"output_notebook(resources=INLINE)\\n\"+\n",
+ " \"\\n\"+\n",
+ " \"
\"}};\n",
+ "\n",
+ " function display_loaded() {\n",
+ " var el = document.getElementById(\"1efd267c-ab68-47d3-beaf-25cc2aa5dc54\");\n",
+ " if (el != null) {\n",
+ " el.textContent = \"BokehJS is loading...\";\n",
+ " }\n",
+ " if (root.Bokeh !== undefined) {\n",
+ " if (el != null) {\n",
+ " el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n",
+ " }\n",
+ " } else if (Date.now() < root._bokeh_timeout) {\n",
+ " setTimeout(display_loaded, 100)\n",
+ " }\n",
+ " }\n",
+ "\n",
+ "\n",
+ " function run_callbacks() {\n",
+ " try {\n",
+ " root._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
+ " }\n",
+ " finally {\n",
+ " delete root._bokeh_onload_callbacks\n",
+ " }\n",
+ " console.info(\"Bokeh: all callbacks have finished\");\n",
+ " }\n",
+ "\n",
+ " function load_libs(js_urls, callback) {\n",
+ " root._bokeh_onload_callbacks.push(callback);\n",
+ " if (root._bokeh_is_loading > 0) {\n",
+ " console.log(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
+ " return null;\n",
+ " }\n",
+ " if (js_urls == null || js_urls.length === 0) {\n",
+ " run_callbacks();\n",
+ " return null;\n",
+ " }\n",
+ " console.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
+ " root._bokeh_is_loading = js_urls.length;\n",
+ " for (var i = 0; i < js_urls.length; i++) {\n",
+ " var url = js_urls[i];\n",
+ " var s = document.createElement('script');\n",
+ " s.src = url;\n",
+ " s.async = false;\n",
+ " s.onreadystatechange = s.onload = function() {\n",
+ " root._bokeh_is_loading--;\n",
+ " if (root._bokeh_is_loading === 0) {\n",
+ " console.log(\"Bokeh: all BokehJS libraries loaded\");\n",
+ " run_callbacks()\n",
+ " }\n",
+ " };\n",
+ " s.onerror = function() {\n",
+ " console.warn(\"failed to load library \" + url);\n",
+ " };\n",
+ " console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
+ " document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
+ " }\n",
+ " };var element = document.getElementById(\"1efd267c-ab68-47d3-beaf-25cc2aa5dc54\");\n",
+ " if (element == null) {\n",
+ " console.log(\"Bokeh: ERROR: autoload.js configured with elementid '1efd267c-ab68-47d3-beaf-25cc2aa5dc54' but no matching script tag was found. \")\n",
+ " return false;\n",
+ " }\n",
+ "\n",
+ " var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.10.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.10.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.10.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-gl-0.12.10.min.js\"];\n",
+ "\n",
+ " var inline_js = [\n",
+ " function(Bokeh) {\n",
+ " Bokeh.set_log_level(\"info\");\n",
+ " },\n",
+ " \n",
+ " function(Bokeh) {\n",
+ " \n",
+ " },\n",
+ " function(Bokeh) {\n",
+ " console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-0.12.10.min.css\");\n",
+ " Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.10.min.css\");\n",
+ " console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.10.min.css\");\n",
+ " Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.10.min.css\");\n",
+ " console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.10.min.css\");\n",
+ " Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.10.min.css\");\n",
+ " }\n",
+ " ];\n",
+ "\n",
+ " function run_inline_js() {\n",
+ " \n",
+ " if ((root.Bokeh !== undefined) || (force === true)) {\n",
+ " for (var i = 0; i < inline_js.length; i++) {\n",
+ " inline_js[i].call(root, root.Bokeh);\n",
+ " }if (force === true) {\n",
+ " display_loaded();\n",
+ " }} else if (Date.now() < root._bokeh_timeout) {\n",
+ " setTimeout(run_inline_js, 100);\n",
+ " } else if (!root._bokeh_failed_load) {\n",
+ " console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
+ " root._bokeh_failed_load = true;\n",
+ " } else if (force !== true) {\n",
+ " var cell = $(document.getElementById(\"1efd267c-ab68-47d3-beaf-25cc2aa5dc54\")).parents('.cell').data().cell;\n",
+ " cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
+ " }\n",
+ "\n",
+ " }\n",
+ "\n",
+ " if (root._bokeh_is_loading === 0) {\n",
+ " console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
+ " run_inline_js();\n",
+ " } else {\n",
+ " load_libs(js_urls, function() {\n",
+ " console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
+ " run_inline_js();\n",
+ " });\n",
+ " }\n",
+ "}(window));"
+ ],
+ "application/vnd.bokehjs_load.v0+json": "\n(function(root) {\n function now() {\n return new Date();\n }\n\n var force = true;\n\n if (typeof (root._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n root._bokeh_onload_callbacks = [];\n root._bokeh_is_loading = undefined;\n }\n\n \n\n \n if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n var NB_LOAD_WARNING = {'data': {'text/html':\n \"\\n\"+\n \"
\\n\"+\n \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n \"
\\n\"+\n \"
\\n\"+\n \"re-rerun `output_notebook()` to attempt to load from CDN again, or \\n\"+\n \"use INLINE resources instead, as so: \\n\"+\n \" \\n\"+\n \"
\\n\"+\n \"from bokeh.resources import INLINE\\n\"+\n \"output_notebook(resources=INLINE)\\n\"+\n \"\\n\"+\n \"
\"}};\n\n function display_loaded() {\n var el = document.getElementById(\"1efd267c-ab68-47d3-beaf-25cc2aa5dc54\");\n if (el != null) {\n el.textContent = \"BokehJS is loading...\";\n }\n if (root.Bokeh !== undefined) {\n if (el != null) {\n el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(display_loaded, 100)\n }\n }\n\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n }\n finally {\n delete root._bokeh_onload_callbacks\n }\n console.info(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(js_urls, callback) {\n root._bokeh_onload_callbacks.push(callback);\n if (root._bokeh_is_loading > 0) {\n console.log(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls == null || js_urls.length === 0) {\n run_callbacks();\n return null;\n }\n console.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n root._bokeh_is_loading = js_urls.length;\n for (var i = 0; i < js_urls.length; i++) {\n var url = js_urls[i];\n var s = document.createElement('script');\n s.src = url;\n s.async = false;\n s.onreadystatechange = s.onload = function() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.log(\"Bokeh: all BokehJS libraries loaded\");\n run_callbacks()\n }\n };\n s.onerror = function() {\n console.warn(\"failed to load library \" + url);\n };\n console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.getElementsByTagName(\"head\")[0].appendChild(s);\n }\n };var element = document.getElementById(\"1efd267c-ab68-47d3-beaf-25cc2aa5dc54\");\n if (element == null) {\n console.log(\"Bokeh: ERROR: autoload.js configured with elementid '1efd267c-ab68-47d3-beaf-25cc2aa5dc54' but no matching script tag was found. \")\n return false;\n }\n\n var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.10.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.10.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.10.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-gl-0.12.10.min.js\"];\n\n var inline_js = [\n function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\n \n function(Bokeh) {\n \n },\n function(Bokeh) {\n console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-0.12.10.min.css\");\n Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.10.min.css\");\n console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.10.min.css\");\n Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.10.min.css\");\n console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.10.min.css\");\n Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.10.min.css\");\n }\n ];\n\n function run_inline_js() {\n \n if ((root.Bokeh !== undefined) || (force === true)) {\n for (var i = 0; i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }if (force === true) {\n display_loaded();\n }} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n } else if (force !== true) {\n var cell = $(document.getElementById(\"1efd267c-ab68-47d3-beaf-25cc2aa5dc54\")).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n\n }\n\n if (root._bokeh_is_loading === 0) {\n console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(js_urls, function() {\n console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));"
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "output_notebook()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [],
+ "source": [
+ "from numpy import cos, linspace\n",
+ "x = linspace(-6, 6, 100)\n",
+ "y = cos(x)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/javascript": [
+ "(function(root) {\n",
+ " function embed_document(root) {\n",
+ " var docs_json = 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Application\",\"version\":\"0.12.10\"}};\n",
+ " var render_items = [{\"docid\":\"1eb0ac17-1ce5-4888-a8c1-c314accd7730\",\"elementid\":\"10cc460c-a1ce-4caf-825b-51787e75fa4f\",\"modelid\":\"48d9c4f3-b669-4319-b3b6-87f6816775f6\"}];\n",
+ "\n",
+ " root.Bokeh.embed.embed_items(docs_json, render_items);\n",
+ " }\n",
+ "\n",
+ " if (root.Bokeh !== undefined) {\n",
+ " embed_document(root);\n",
+ " } else {\n",
+ " var attempts = 0;\n",
+ " var timer = setInterval(function(root) {\n",
+ " if (root.Bokeh !== undefined) {\n",
+ " embed_document(root);\n",
+ " clearInterval(timer);\n",
+ " }\n",
+ " attempts++;\n",
+ " if (attempts > 100) {\n",
+ " console.log(\"Bokeh: ERROR: Unable to embed document because BokehJS library is missing\")\n",
+ " clearInterval(timer);\n",
+ " }\n",
+ " }, 10, root)\n",
+ " }\n",
+ "})(window);"
+ ],
+ "application/vnd.bokehjs_exec.v0+json": ""
+ },
+ "metadata": {
+ "application/vnd.bokehjs_exec.v0+json": {
+ "id": "48d9c4f3-b669-4319-b3b6-87f6816775f6"
+ }
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "p = figure(width = 500, height = 500)\n",
+ "p.circle(x,y,size=7, color='firebrick', alpha=0.5)\n",
+ "show(p)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [],
+ "source": [
+ "from bokeh.sampledata.autompg import autompg\n",
+ "\n",
+ "grouped = autompg.groupby(\"yr\")\n",
+ "mpg = grouped[\"mpg\"]\n",
+ "avg = mpg.mean()\n",
+ "std = mpg.std()\n",
+ "years = list(grouped.groups.keys())\n",
+ "american = autompg[autompg[\"origin\"]==1]\n",
+ "japanese = autompg[autompg[\"origin\"]==3]"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/javascript": [
+ "(function(root) {\n",
+ " function embed_document(root) {\n",
+ " var docs_json = {\"90744ced-3796-4158-81df-867ac86204af\":{\"roots\":{\"references\":[{\"attributes\":{},\"id\":\"34d903fb-8d77-4424-8201-983878126e3c\",\"type\":\"LinearScale\"},{\"attributes\":{\"callback\":null},\"id\":\"b030b41d-d838-4290-bccc-8e4b8c97d880\",\"type\":\"DataRange1d\"},{\"attributes\":{\"label\":{\"value\":\"American\"},\"renderers\":[{\"id\":\"494397c1-50ba-4ede-b489-39b5cd2681e6\",\"type\":\"GlyphRenderer\"}]},\"id\":\"eaf7a59c-b482-47e2-aab4-515d9ade883b\",\"type\":\"LegendItem\"},{\"attributes\":{\"label\":{\"value\":\"MPG 1 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+ " var render_items = [{\"docid\":\"90744ced-3796-4158-81df-867ac86204af\",\"elementid\":\"a4228e70-b6c3-419e-ac34-3575638f46ee\",\"modelid\":\"1ad7af1f-616c-42ed-9e7b-1740f26c0093\"}];\n",
+ "\n",
+ " root.Bokeh.embed.embed_items(docs_json, render_items);\n",
+ " }\n",
+ "\n",
+ " if (root.Bokeh !== undefined) {\n",
+ " embed_document(root);\n",
+ " } else {\n",
+ " var attempts = 0;\n",
+ " var timer = setInterval(function(root) {\n",
+ " if (root.Bokeh !== undefined) {\n",
+ " embed_document(root);\n",
+ " clearInterval(timer);\n",
+ " }\n",
+ " attempts++;\n",
+ " if (attempts > 100) {\n",
+ " console.log(\"Bokeh: ERROR: Unable to embed document because BokehJS library is missing\")\n",
+ " clearInterval(timer);\n",
+ " }\n",
+ " }, 10, root)\n",
+ " }\n",
+ "})(window);"
+ ],
+ "application/vnd.bokehjs_exec.v0+json": ""
+ },
+ "metadata": {
+ "application/vnd.bokehjs_exec.v0+json": {
+ "id": "1ad7af1f-616c-42ed-9e7b-1740f26c0093"
+ }
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "p = figure(title=\"MPG by Year (Japan and US)\")\n",
+ "\n",
+ "p.vbar(x=years, bottom=avg-std, top=avg+std, width=0.8, \n",
+ " fill_alpha=0.2, line_color=None, legend=\"MPG 1 stddev\")\n",
+ "\n",
+ "p.circle(x=japanese[\"yr\"], y=japanese[\"mpg\"], size=10, alpha=0.5,\n",
+ " color=\"red\", legend=\"Japanese\")\n",
+ "\n",
+ "p.triangle(x=american[\"yr\"], y=american[\"mpg\"], size=10, alpha=0.3,\n",
+ " color=\"blue\", legend=\"American\")\n",
+ "\n",
+ "p.legend.location = \"top_left\"\n",
+ "show(p)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 12,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/javascript": [
+ "(function(root) {\n",
+ " function embed_document(root) {\n",
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n\"},\"x\":{\"field\":\"hp\"},\"y\":{\"field\":\"displ\"}},\"id\":\"d0e5e6d3-e90a-4c6e-a6ed-bb492e229355\",\"type\":\"Circle\"},{\"attributes\":{\"callback\":null},\"id\":\"a27bf28a-2e7e-473e-8c1e-65e3ca0e8583\",\"type\":\"DataRange1d\"},{\"attributes\":{\"callback\":null},\"id\":\"4cb4a06c-1c14-49e1-9ad8-be4ccaefa4fc\",\"type\":\"DataRange1d\"},{\"attributes\":{},\"id\":\"e47548eb-d97d-4951-8579-e633cd4a9f03\",\"type\":\"LinearScale\"},{\"attributes\":{\"plot\":null,\"text\":\"HP vs. Displacement\"},\"id\":\"6af9c0f0-59bf-4687-a58a-e330434b541f\",\"type\":\"Title\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"ab57b694-02bb-4735-895b-9d2647b8333f\",\"type\":\"PanTool\"},{\"id\":\"8a6749e1-6be3-4813-8c06-363aae574d20\",\"type\":\"WheelZoomTool\"},{\"id\":\"f5e6bb12-4ae6-4de5-ae22-79e91911a1dd\",\"type\":\"BoxZoomTool\"},{\"id\":\"42d3966c-8a72-4913-a96a-c54743c4bce8\",\"type\":\"BoxSelectTool\"},{\"id\":\"58b425ce-5948-4dd5-9b8c-9fe67bd917c8\",\"type\":\"LassoSelectTool\"}]},\"id\":\"6b172150-762e-445b-9dd6-b3c6f134e291\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"a778eb4c-0837-410f-8e56-1e8c4c39a57a\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"x\":{\"field\":\"yr\"},\"y\":{\"field\":\"mpg\"}},\"id\":\"dedaa589-a8ed-4b12-a5da-b752933ec4c1\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"187b0c7a-6214-455b-bc62-179667724fbd\",\"type\":\"BasicTicker\"},{\"attributes\":{\"callback\":null,\"overlay\":{\"id\":\"614df716-a4b7-4fdd-9099-78448d24da92\",\"type\":\"BoxAnnotation\"},\"renderers\":[{\"id\":\"650ad3d8-49d4-4847-821a-a4adb87f535e\",\"type\":\"GlyphRenderer\"}]},\"id\":\"42d3966c-8a72-4913-a96a-c54743c4bce8\",\"type\":\"BoxSelectTool\"}],\"root_ids\":[\"9a936423-8bb4-47cc-bc69-a05c07435fd4\"]},\"title\":\"Bokeh Application\",\"version\":\"0.12.10\"}};\n",
+ " var render_items = [{\"docid\":\"3c1cb605-0a79-493b-b59a-2d077a4a0c39\",\"elementid\":\"6ad4f425-fa54-4040-abc1-39dd66dd95d4\",\"modelid\":\"9a936423-8bb4-47cc-bc69-a05c07435fd4\"}];\n",
+ "\n",
+ " root.Bokeh.embed.embed_items(docs_json, render_items);\n",
+ " }\n",
+ "\n",
+ " if (root.Bokeh !== undefined) {\n",
+ " embed_document(root);\n",
+ " } else {\n",
+ " var attempts = 0;\n",
+ " var timer = setInterval(function(root) {\n",
+ " if (root.Bokeh !== undefined) {\n",
+ " embed_document(root);\n",
+ " clearInterval(timer);\n",
+ " }\n",
+ " attempts++;\n",
+ " if (attempts > 100) {\n",
+ " console.log(\"Bokeh: ERROR: Unable to embed document because BokehJS library is missing\")\n",
+ " clearInterval(timer);\n",
+ " }\n",
+ " }, 10, root)\n",
+ " }\n",
+ "})(window);"
+ ],
+ "application/vnd.bokehjs_exec.v0+json": ""
+ },
+ "metadata": {
+ "application/vnd.bokehjs_exec.v0+json": {
+ "id": "9a936423-8bb4-47cc-bc69-a05c07435fd4"
+ }
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "from bokeh.models import ColumnDataSource\n",
+ "from bokeh.layouts import gridplot\n",
+ "\n",
+ "source = ColumnDataSource(autompg)\n",
+ "\n",
+ "options = dict(plot_width=300, plot_height=300,\n",
+ " tools=\"pan,wheel_zoom,box_zoom,box_select,lasso_select\")\n",
+ "\n",
+ "p1 = figure(title=\"MPG by Year\", **options)\n",
+ "p1.circle(\"yr\", \"mpg\", color=\"blue\", source=source)\n",
+ "\n",
+ "p2 = figure(title=\"HP vs. Displacement\", **options)\n",
+ "p2.circle(\"hp\", \"displ\", color=\"green\", source=source)\n",
+ "\n",
+ "p3 = figure(title=\"MPG vs. Displacement\", **options)\n",
+ "p3.circle(\"mpg\", \"displ\", size=\"cyl\", line_color=\"red\", fill_color=None, source=source)\n",
+ "\n",
+ "p = gridplot([[ p1, p2, p3]], toolbar_location=\"right\")\n",
+ "\n",
+ "show(p)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.6.3"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/Bokeh Archive/Bokeh Tutorial.ipynb b/Bokeh Archive/Bokeh Tutorial.ipynb
new file mode 100644
index 00000000..92ef5efd
--- /dev/null
+++ b/Bokeh Archive/Bokeh Tutorial.ipynb
@@ -0,0 +1,483 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ " \n",
+ "
\n",
+ "
Loading BokehJS ... \n",
+ "
"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/javascript": [
+ "\n",
+ "(function(root) {\n",
+ " function now() {\n",
+ " return new Date();\n",
+ " }\n",
+ "\n",
+ " var force = true;\n",
+ "\n",
+ " if (typeof (root._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n",
+ " root._bokeh_onload_callbacks = [];\n",
+ " root._bokeh_is_loading = undefined;\n",
+ " }\n",
+ "\n",
+ " var JS_MIME_TYPE = 'application/javascript';\n",
+ " var HTML_MIME_TYPE = 'text/html';\n",
+ " var EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n",
+ " var CLASS_NAME = 'output_bokeh rendered_html';\n",
+ "\n",
+ " /**\n",
+ " * Render data to the DOM node\n",
+ " */\n",
+ " function render(props, node) {\n",
+ " var script = document.createElement(\"script\");\n",
+ " node.appendChild(script);\n",
+ " }\n",
+ "\n",
+ " /**\n",
+ " * Handle when an output is cleared or removed\n",
+ " */\n",
+ " function handleClearOutput(event, handle) {\n",
+ " var cell = handle.cell;\n",
+ "\n",
+ " var id = cell.output_area._bokeh_element_id;\n",
+ " var server_id = cell.output_area._bokeh_server_id;\n",
+ " // Clean up Bokeh references\n",
+ " if (id !== undefined) {\n",
+ " Bokeh.index[id].model.document.clear();\n",
+ " delete Bokeh.index[id];\n",
+ " }\n",
+ "\n",
+ " if (server_id !== undefined) {\n",
+ " // Clean up Bokeh references\n",
+ " var cmd = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n",
+ " cell.notebook.kernel.execute(cmd, {\n",
+ " iopub: {\n",
+ " output: function(msg) {\n",
+ " var element_id = msg.content.text.trim();\n",
+ " Bokeh.index[element_id].model.document.clear();\n",
+ " delete Bokeh.index[element_id];\n",
+ " }\n",
+ " }\n",
+ " });\n",
+ " // Destroy server and session\n",
+ " var cmd = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n",
+ " cell.notebook.kernel.execute(cmd);\n",
+ " }\n",
+ " }\n",
+ "\n",
+ " /**\n",
+ " * Handle when a new output is added\n",
+ " */\n",
+ " function handleAddOutput(event, handle) {\n",
+ " var output_area = handle.output_area;\n",
+ " var output = handle.output;\n",
+ "\n",
+ " // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n",
+ " if ((output.output_type != \"display_data\") || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n",
+ " return\n",
+ " }\n",
+ "\n",
+ " var toinsert = output_area.element.find(`.${CLASS_NAME.split(' ')[0]}`);\n",
+ "\n",
+ " if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n",
+ " toinsert[0].firstChild.textContent = output.data[JS_MIME_TYPE];\n",
+ " // store reference to embed id on output_area\n",
+ " output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
+ " }\n",
+ " if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
+ " var bk_div = document.createElement(\"div\");\n",
+ " bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
+ " var script_attrs = bk_div.children[0].attributes;\n",
+ " for (var i = 0; i < script_attrs.length; i++) {\n",
+ " toinsert[0].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
+ " }\n",
+ " // store reference to server id on output_area\n",
+ " output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
+ " }\n",
+ " }\n",
+ "\n",
+ " function register_renderer(events, OutputArea) {\n",
+ "\n",
+ " function append_mime(data, metadata, element) {\n",
+ " // create a DOM node to render to\n",
+ " var toinsert = this.create_output_subarea(\n",
+ " metadata,\n",
+ " CLASS_NAME,\n",
+ " EXEC_MIME_TYPE\n",
+ " );\n",
+ " this.keyboard_manager.register_events(toinsert);\n",
+ " // Render to node\n",
+ " var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
+ " render(props, toinsert[0]);\n",
+ " element.append(toinsert);\n",
+ " return toinsert\n",
+ " }\n",
+ "\n",
+ " /* Handle when an output is cleared or removed */\n",
+ " events.on('clear_output.CodeCell', handleClearOutput);\n",
+ " events.on('delete.Cell', handleClearOutput);\n",
+ "\n",
+ " /* Handle when a new output is added */\n",
+ " events.on('output_added.OutputArea', handleAddOutput);\n",
+ "\n",
+ " /**\n",
+ " * Register the mime type and append_mime function with output_area\n",
+ " */\n",
+ " OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
+ " /* Is output safe? */\n",
+ " safe: true,\n",
+ " /* Index of renderer in `output_area.display_order` */\n",
+ " index: 0\n",
+ " });\n",
+ " }\n",
+ "\n",
+ " // register the mime type if in Jupyter Notebook environment and previously unregistered\n",
+ " if (root.Jupyter !== undefined) {\n",
+ " var events = require('base/js/events');\n",
+ " var OutputArea = require('notebook/js/outputarea').OutputArea;\n",
+ "\n",
+ " if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
+ " register_renderer(events, OutputArea);\n",
+ " }\n",
+ " }\n",
+ "\n",
+ " \n",
+ " if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n",
+ " root._bokeh_timeout = Date.now() + 5000;\n",
+ " root._bokeh_failed_load = false;\n",
+ " }\n",
+ "\n",
+ " var NB_LOAD_WARNING = {'data': {'text/html':\n",
+ " \"\\n\"+\n",
+ " \"
\\n\"+\n",
+ " \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
+ " \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
+ " \"
\\n\"+\n",
+ " \"
\\n\"+\n",
+ " \"re-rerun `output_notebook()` to attempt to load from CDN again, or \\n\"+\n",
+ " \"use INLINE resources instead, as so: \\n\"+\n",
+ " \" \\n\"+\n",
+ " \"
\\n\"+\n",
+ " \"from bokeh.resources import INLINE\\n\"+\n",
+ " \"output_notebook(resources=INLINE)\\n\"+\n",
+ " \"\\n\"+\n",
+ " \"
\"}};\n",
+ "\n",
+ " function display_loaded() {\n",
+ " var el = document.getElementById(\"58b0da13-91e3-4ddc-b302-f52dcded55aa\");\n",
+ " if (el != null) {\n",
+ " el.textContent = \"BokehJS is loading...\";\n",
+ " }\n",
+ " if (root.Bokeh !== undefined) {\n",
+ " if (el != null) {\n",
+ " el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n",
+ " }\n",
+ " } else if (Date.now() < root._bokeh_timeout) {\n",
+ " setTimeout(display_loaded, 100)\n",
+ " }\n",
+ " }\n",
+ "\n",
+ "\n",
+ " function run_callbacks() {\n",
+ " try {\n",
+ " root._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
+ " }\n",
+ " finally {\n",
+ " delete root._bokeh_onload_callbacks\n",
+ " }\n",
+ " console.info(\"Bokeh: all callbacks have finished\");\n",
+ " }\n",
+ "\n",
+ " function load_libs(js_urls, callback) {\n",
+ " root._bokeh_onload_callbacks.push(callback);\n",
+ " if (root._bokeh_is_loading > 0) {\n",
+ " console.log(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
+ " return null;\n",
+ " }\n",
+ " if (js_urls == null || js_urls.length === 0) {\n",
+ " run_callbacks();\n",
+ " return null;\n",
+ " }\n",
+ " console.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
+ " root._bokeh_is_loading = js_urls.length;\n",
+ " for (var i = 0; i < js_urls.length; i++) {\n",
+ " var url = js_urls[i];\n",
+ " var s = document.createElement('script');\n",
+ " s.src = url;\n",
+ " s.async = false;\n",
+ " s.onreadystatechange = s.onload = function() {\n",
+ " root._bokeh_is_loading--;\n",
+ " if (root._bokeh_is_loading === 0) {\n",
+ " console.log(\"Bokeh: all BokehJS libraries loaded\");\n",
+ " run_callbacks()\n",
+ " }\n",
+ " };\n",
+ " s.onerror = function() {\n",
+ " console.warn(\"failed to load library \" + url);\n",
+ " };\n",
+ " console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
+ " document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
+ " }\n",
+ " };var element = document.getElementById(\"58b0da13-91e3-4ddc-b302-f52dcded55aa\");\n",
+ " if (element == null) {\n",
+ " console.log(\"Bokeh: ERROR: autoload.js configured with elementid '58b0da13-91e3-4ddc-b302-f52dcded55aa' but no matching script tag was found. \")\n",
+ " return false;\n",
+ " }\n",
+ "\n",
+ " var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.10.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.10.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.10.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-gl-0.12.10.min.js\"];\n",
+ "\n",
+ " var inline_js = [\n",
+ " function(Bokeh) {\n",
+ " Bokeh.set_log_level(\"info\");\n",
+ " },\n",
+ " \n",
+ " function(Bokeh) {\n",
+ " \n",
+ " },\n",
+ " function(Bokeh) {\n",
+ " console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-0.12.10.min.css\");\n",
+ " Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.10.min.css\");\n",
+ " console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.10.min.css\");\n",
+ " Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.10.min.css\");\n",
+ " console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.10.min.css\");\n",
+ " Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.10.min.css\");\n",
+ " }\n",
+ " ];\n",
+ "\n",
+ " function run_inline_js() {\n",
+ " \n",
+ " if ((root.Bokeh !== undefined) || (force === true)) {\n",
+ " for (var i = 0; i < inline_js.length; i++) {\n",
+ " inline_js[i].call(root, root.Bokeh);\n",
+ " }if (force === true) {\n",
+ " display_loaded();\n",
+ " }} else if (Date.now() < root._bokeh_timeout) {\n",
+ " setTimeout(run_inline_js, 100);\n",
+ " } else if (!root._bokeh_failed_load) {\n",
+ " console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
+ " root._bokeh_failed_load = true;\n",
+ " } else if (force !== true) {\n",
+ " var cell = $(document.getElementById(\"58b0da13-91e3-4ddc-b302-f52dcded55aa\")).parents('.cell').data().cell;\n",
+ " cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
+ " }\n",
+ "\n",
+ " }\n",
+ "\n",
+ " if (root._bokeh_is_loading === 0) {\n",
+ " console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
+ " run_inline_js();\n",
+ " } else {\n",
+ " load_libs(js_urls, function() {\n",
+ " console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
+ " run_inline_js();\n",
+ " });\n",
+ " }\n",
+ "}(window));"
+ ],
+ "application/vnd.bokehjs_load.v0+json": "\n(function(root) {\n function now() {\n return new Date();\n }\n\n var force = true;\n\n if (typeof (root._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n root._bokeh_onload_callbacks = [];\n root._bokeh_is_loading = undefined;\n }\n\n \n\n \n if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n var NB_LOAD_WARNING = {'data': {'text/html':\n \"\\n\"+\n \"
\\n\"+\n \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n \"
\\n\"+\n \"
\\n\"+\n \"re-rerun `output_notebook()` to attempt to load from CDN again, or \\n\"+\n \"use INLINE resources instead, as so: \\n\"+\n \" \\n\"+\n \"
\\n\"+\n \"from bokeh.resources import INLINE\\n\"+\n \"output_notebook(resources=INLINE)\\n\"+\n \"\\n\"+\n \"
\"}};\n\n function display_loaded() {\n var el = document.getElementById(\"58b0da13-91e3-4ddc-b302-f52dcded55aa\");\n if (el != null) {\n el.textContent = \"BokehJS is loading...\";\n }\n if (root.Bokeh !== undefined) {\n if (el != null) {\n el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(display_loaded, 100)\n }\n }\n\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n }\n finally {\n delete root._bokeh_onload_callbacks\n }\n console.info(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(js_urls, callback) {\n root._bokeh_onload_callbacks.push(callback);\n if (root._bokeh_is_loading > 0) {\n console.log(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls == null || js_urls.length === 0) {\n run_callbacks();\n return null;\n }\n console.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n root._bokeh_is_loading = js_urls.length;\n for (var i = 0; i < js_urls.length; i++) {\n var url = js_urls[i];\n var s = document.createElement('script');\n s.src = url;\n s.async = false;\n s.onreadystatechange = s.onload = function() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.log(\"Bokeh: all BokehJS libraries loaded\");\n run_callbacks()\n }\n };\n s.onerror = function() {\n console.warn(\"failed to load library \" + url);\n };\n console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.getElementsByTagName(\"head\")[0].appendChild(s);\n }\n };var element = document.getElementById(\"58b0da13-91e3-4ddc-b302-f52dcded55aa\");\n if (element == null) {\n console.log(\"Bokeh: ERROR: autoload.js configured with elementid '58b0da13-91e3-4ddc-b302-f52dcded55aa' but no matching script tag was found. \")\n return false;\n }\n\n var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.10.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.10.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.10.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-gl-0.12.10.min.js\"];\n\n var inline_js = [\n function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\n \n function(Bokeh) {\n \n },\n function(Bokeh) {\n console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-0.12.10.min.css\");\n Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.10.min.css\");\n console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.10.min.css\");\n Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.10.min.css\");\n console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.10.min.css\");\n Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.10.min.css\");\n }\n ];\n\n function run_inline_js() {\n \n if ((root.Bokeh !== undefined) || (force === true)) {\n for (var i = 0; i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }if (force === true) {\n display_loaded();\n }} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n } else if (force !== true) {\n var cell = $(document.getElementById(\"58b0da13-91e3-4ddc-b302-f52dcded55aa\")).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n\n }\n\n if (root._bokeh_is_loading === 0) {\n console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(js_urls, function() {\n console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));"
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# Standard imports \n",
+ "\n",
+ "from bokeh.io import output_notebook, show\n",
+ "output_notebook()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/javascript": [
+ "(function(root) {\n",
+ " function embed_document(root) {\n",
+ " var docs_json = {\"bb8b4a18-4f7d-4b73-8750-d836ca5d3a2f\":{\"roots\":{\"references\":[{\"attributes\":{\"plot\":null,\"text\":\"Mean MPG by # Cylinders and Manufacturer\"},\"id\":\"3acfa8dd-d35d-4070-a626-cd45af70bfa6\",\"type\":\"Title\"},{\"attributes\":{\"axis_label\":\"Manufacturer grouped by # Cylinders\",\"formatter\":{\"id\":\"4ee3d5bf-5805-4f62-b827-76af54050602\",\"type\":\"CategoricalTickFormatter\"},\"major_label_orientation\":1.2,\"plot\":{\"id\":\"46a3ecf8-2e4b-441a-bfbe-28db5f9f863f\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"e0b26fd9-d717-4d0a-ad2c-c6458e92a8f9\",\"type\":\"CategoricalTicker\"}},\"id\":\"bdc7afa4-ed12-4af9-8f72-ca065b55b49d\",\"type\":\"CategoricalAxis\"},{\"attributes\":{},\"id\":\"aa6eea82-e9ae-496e-9ebc-750007d9f128\",\"type\":\"LinearScale\"},{\"attributes\":{\"callback\":null,\"tooltips\":[[\"MPG\",\"@mpg_mean\"],[\"Cyl, 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+ " var attempts = 0;\n",
+ " var timer = setInterval(function(root) {\n",
+ " if (root.Bokeh !== undefined) {\n",
+ " embed_document(root);\n",
+ " clearInterval(timer);\n",
+ " }\n",
+ " attempts++;\n",
+ " if (attempts > 100) {\n",
+ " console.log(\"Bokeh: ERROR: Unable to embed document because BokehJS library is missing\")\n",
+ " clearInterval(timer);\n",
+ " }\n",
+ " }, 10, root)\n",
+ " }\n",
+ "})(window);"
+ ],
+ "application/vnd.bokehjs_exec.v0+json": ""
+ },
+ "metadata": {
+ "application/vnd.bokehjs_exec.v0+json": {
+ "id": "46a3ecf8-2e4b-441a-bfbe-28db5f9f863f"
+ }
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# Plot a complex chart with intearctive hover in a few lines of code\n",
+ "\n",
+ "from bokeh.models import ColumnDataSource, HoverTool\n",
+ "from bokeh.plotting import figure\n",
+ "from bokeh.sampledata.autompg import autompg_clean as df\n",
+ "from bokeh.transform import factor_cmap\n",
+ "\n",
+ "df.cyl = df.cyl.astype(str)\n",
+ "df.yr = df.yr.astype(str)\n",
+ "\n",
+ "group = df.groupby(('cyl', 'mfr'))\n",
+ "source = ColumnDataSource(group)\n",
+ "\n",
+ "p = figure(plot_width=800, plot_height=300, title=\"Mean MPG by # Cylinders and Manufacturer\",\n",
+ " x_range=group, toolbar_location=None, tools=\"\")\n",
+ "\n",
+ "p.xgrid.grid_line_color = None\n",
+ "p.xaxis.axis_label = \"Manufacturer grouped by # Cylinders\"\n",
+ "p.xaxis.major_label_orientation = 1.2\n",
+ "\n",
+ "index_cmap = factor_cmap('cyl_mfr', palette=['#2b83ba', '#abdda4', '#ffffbf', '#fdae61', '#d7191c'], \n",
+ " factors=sorted(df.cyl.unique()), end=1)\n",
+ "\n",
+ "p.vbar(x='cyl_mfr', top='mpg_mean', width=1, source=source,\n",
+ " line_color=\"white\", fill_color=index_cmap, \n",
+ " hover_line_color=\"black\", hover_fill_color=index_cmap)\n",
+ "\n",
+ "p.add_tools(HoverTool(tooltips=[(\"MPG\", \"@mpg_mean\"), (\"Cyl, Mfr\", \"@cyl_mfr\")]))\n",
+ "\n",
+ "show(p)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ " \n",
+ " "
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 5,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# Create and deploy interactive data applications\n",
+ "\n",
+ "from IPython.display import IFrame\n",
+ "IFrame('https://demo.bokehplots.com/apps/sliders', width=900, height=500)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/markdown": [
+ "# InteractiveProgramming\n",
+ "This is the base repo for the interactive programming project for Software Design, Spring 2018 at Olin College.\n"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 6,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "from IPython.core.display import Markdown\n",
+ "Markdown(open(\"README.md\").read())"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.6.3"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/Bokeh Archive/Color_palette.html b/Bokeh Archive/Color_palette.html
new file mode 100644
index 00000000..42f1d6ba
--- /dev/null
+++ b/Bokeh Archive/Color_palette.html
@@ -0,0 +1,69 @@
+
+
+
+
+
+ Bokeh Plot
+
+
+
+
+
+
+
+
+
+
+
+
+
+
\ No newline at end of file
diff --git a/Bokeh Archive/Color_palette.py b/Bokeh Archive/Color_palette.py
new file mode 100644
index 00000000..8c2f77ad
--- /dev/null
+++ b/Bokeh Archive/Color_palette.py
@@ -0,0 +1,19 @@
+from bokeh.io import show
+from bokeh.models import ColumnDataSource, CategoricalColorMapper
+from bokeh.palettes import RdBu3
+from bokeh.plotting import figure
+
+source = ColumnDataSource(dict(
+ x=[1, 2, 3, 4, 5, 6],
+ y=[2, 1, 2, 1, 2, 1],
+ label=['hi', 'lo', 'hi', 'lo', 'hi', 'lo']
+))
+color_mapper = CategoricalColorMapper(factors=['hi', 'lo'], palette=[RdBu3[2], RdBu3[0]])
+
+p = figure(x_range=(0, 7), y_range=(0, 3), height=300, tools='save')
+p.circle(
+ x='x', y='y', radius=0.5, source=source,
+ color={'field': 'label', 'transform': color_mapper},
+ legend='label'
+)
+show(p)
diff --git a/Bokeh Archive/MVP.ipynb b/Bokeh Archive/MVP.ipynb
new file mode 100644
index 00000000..ba832957
--- /dev/null
+++ b/Bokeh Archive/MVP.ipynb
@@ -0,0 +1,1121 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [],
+ "source": [
+ "from Model import Model\n",
+ "import pandas as pd"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "YEAR: 2016\n",
+ "ID: 2016223N22089 Name: NOT NAMED Season: 2016\n",
+ "Longs: 1 88.50\n",
+ "2 88.50\n",
+ "3 89.00\n",
+ "4 89.70\n",
+ "5 89.40\n",
+ "6 89.30\n",
+ "7 89.10\n",
+ "8 88.50\n",
+ "9 87.80\n",
+ "10 87.40\n",
+ "11 87.00\n",
+ "12 86.50\n",
+ "13 85.70\n",
+ "14 85.00\n",
+ "15 84.50\n",
+ "16 84.50\n",
+ "17 84.50\n",
+ "18 84.00\n",
+ "Name: Longitude_for_mapping, dtype: object\n",
+ "Lats: 1 22.00\n",
+ "2 22.00\n",
+ "3 22.50\n",
+ "4 22.80\n",
+ "5 23.00\n",
+ "6 23.10\n",
+ "7 23.40\n",
+ "8 23.60\n",
+ "9 23.80\n",
+ "10 24.00\n",
+ "11 24.00\n",
+ "12 24.00\n",
+ "13 24.00\n",
+ "14 24.00\n",
+ "15 24.00\n",
+ "16 24.00\n",
+ "17 24.20\n",
+ "18 24.40\n",
+ "Name: Latitude_for_mapping, dtype: object\n",
+ "x:[9851774.9352047127, 9851774.9352047127, 9907434.6806013491, 9985358.3241566401, 9951962.4769186582, 9940830.527839331, 9918566.6296806745, 9851774.9352047127, 9773851.2916494198, 9729323.4953321107, 9684795.6990148015, 9629135.9536181651, 9540080.3609835468, 9462156.717428254, 9406496.9720316175, 9406496.9720316175, 9406496.9720316175, 9350837.2266349811]\n",
+ "y:[2511525.2348457128, 2511525.2348457128, 2571663.0471736449, 2607849.8726871307, 2632018.6375864232, 2644116.4340022062, 2680464.0819783327, 2704741.5686532655, 2729056.107633078, 2753408.109364979, 2753408.109364979, 2753408.109364979, 2753408.109364979, 2753408.109364979, 2753408.109364979, 2753408.109364979, 2777797.9871113901, 2802226.1569912531]ID: 2016225N16138 Name: CHANTHU Season: 2016\n",
+ "Longs: 1 137.60\n",
+ "2 138.00\n",
+ "3 138.50\n",
+ "4 139.20\n",
+ "5 139.70\n",
+ "6 140.48\n",
+ "7 141.47\n",
+ "8 142.21\n",
+ "9 143.19\n",
+ "10 143.97\n",
+ "11 144.45\n",
+ "12 144.78\n",
+ "13 144.88\n",
+ "14 144.40\n",
+ "15 143.85\n",
+ "16 142.85\n",
+ "17 142.22\n",
+ "18 141.35\n",
+ "19 141.03\n",
+ "20 141.21\n",
+ "21 141.67\n",
+ "22 142.20\n",
+ "23 142.64\n",
+ "24 143.00\n",
+ "25 143.10\n",
+ "26 143.12\n",
+ "27 144.60\n",
+ "28 145.40\n",
+ "29 146.60\n",
+ "30 147.55\n",
+ "31 149.10\n",
+ "Name: Longitude_for_mapping, dtype: object\n",
+ "Lats: 1 16.00\n",
+ "2 16.30\n",
+ "3 16.62\n",
+ "4 17.00\n",
+ "5 17.54\n",
+ "6 18.48\n",
+ "7 19.36\n",
+ "8 20.14\n",
+ "9 21.31\n",
+ "10 22.85\n",
+ "11 24.38\n",
+ "12 25.53\n",
+ "13 26.80\n",
+ "14 27.85\n",
+ "15 29.30\n",
+ "16 30.35\n",
+ "17 31.48\n",
+ "18 33.10\n",
+ "19 34.30\n",
+ "20 35.82\n",
+ "21 37.78\n",
+ "22 39.00\n",
+ "23 40.78\n",
+ "24 41.80\n",
+ "25 42.30\n",
+ "26 44.29\n",
+ "27 47.80\n",
+ "28 51.50\n",
+ "29 54.60\n",
+ "30 57.95\n",
+ "31 60.60\n",
+ "Name: Latitude_for_mapping, dtype: object\n",
+ "x:[15317561.933154443, 15362089.729471754, 15417749.474868391, 15495673.118423682, 15551332.863820318, 15638162.066639071, 15748368.362524413, 15830744.785711437, 15939837.886688843, 16026667.089507597, 16080100.445088368, 16116835.877050148, 16127967.826129476, 16074534.470548706, 16013308.750612404, 15901989.259819129, 15831857.980619369, 15735010.02362922, 15699387.786575373, 15719425.294918163, 15770632.260683067, 15829631.590803502, 15878612.166752541, 15918687.183438122, 15929819.13251745, 15932045.522333315, 16096798.368707359, 16185853.961341979, 16319437.350293906, 16425190.866547517, 16597736.07727709]\n",
+ "y:[1804722.7662572919, 1839490.7129754247, 1876635.2708027712, 1920825.0403774658, 1983775.8831667961, 2093808.9645736774, 2197366.2759277369, 2289623.244645027, 2428881.3952632579, 2613888.7260485394, 2799781.6049381741, 2940984.9209394683, 3098506.5361034139, 3230075.3502489896, 3413885.0059842309, 3548618.8828987493, 3695244.4378803917, 3908584.8254851638, 4069156.1828074576, 4275881.8322407082, 4548393.6389452666, 4721671.5725801066, 4979945.6705253869, 5131067.3356399573, 5206024.4612923535, 5510430.5802442208, 6073646.2233506292, 6710219.0832207408, 7284618.1015540026, 7956821.422420335, 8534550.0954532735]ID: 2016228N22117 Name: DIANMU Season: 2016\n",
+ "Longs: 1 117.05\n",
+ "2 116.30\n",
+ "3 115.40\n",
+ "4 114.70\n",
+ "5 113.95\n",
+ "6 113.55\n",
+ "7 113.30\n",
+ "8 113.15\n",
+ "9 112.98\n",
+ "10 112.81\n",
+ "11 112.35\n",
+ "12 111.74\n",
+ "13 110.75\n",
+ "14 109.47\n",
+ "15 108.50\n",
+ "16 107.60\n",
+ "17 106.43\n",
+ "18 105.02\n",
+ "19 102.99\n",
+ "20 101.17\n",
+ "Name: Longitude_for_mapping, dtype: object\n",
+ "Lats: 1 21.80\n",
+ "2 21.70\n",
+ "3 21.65\n",
+ "4 21.70\n",
+ "5 21.70\n",
+ "6 21.65\n",
+ "7 21.55\n",
+ "8 21.50\n",
+ "9 21.38\n",
+ "10 21.21\n",
+ "11 21.05\n",
+ "12 21.06\n",
+ "13 20.85\n",
+ "14 20.52\n",
+ "15 20.42\n",
+ "16 20.48\n",
+ "17 20.71\n",
+ "18 20.99\n",
+ "19 21.54\n",
+ "20 22.27\n",
+ "Name: Latitude_for_mapping, dtype: object\n",
+ "x:[13029946.397352673, 12946456.779257717, 12846269.237543771, 12768345.59398848, 12684855.975893525, 12640328.179576214, 12612498.306877896, 12595800.383258907, 12576876.069824049, 12557951.756389193, 12506744.790624287, 12438839.90124039, 12328633.605355049, 12186144.657139659, 12078164.751070183, 11977977.209356237, 11847733.405128108, 11690772.923109591, 11464794.356799245, 11262192.883555489]\n",
+ "y:[2487529.7151387953, 2475544.5337766968, 2469555.0666361679, 2475544.5337766968, 2475544.5337766968, 2469555.0666361679, 2457582.3494249135, 2451599.0873778537, 2437247.6372366897, 2416936.5318590454, 2397841.5532705351, 2399034.3865133785, 2374001.6514825919, 2334734.8824018738, 2322852.6319057727, 2329981.0530488198, 2357332.5881247683, 2390686.2347272313, 2456385.5322165769, 2543972.9772578641]ID: 2016230N12254 Name: KAY Season: 2016\n",
+ "Longs: 1 -106.50\n",
+ "2 -106.90\n",
+ "3 -107.30\n",
+ "4 -107.80\n",
+ "5 -108.30\n",
+ "6 -108.80\n",
+ "7 -109.20\n",
+ "8 -109.70\n",
+ "9 -110.10\n",
+ "10 -110.60\n",
+ "11 -111.10\n",
+ "12 -111.50\n",
+ "13 -111.80\n",
+ "14 -112.10\n",
+ "15 -112.40\n",
+ "16 -112.70\n",
+ "17 -113.10\n",
+ "18 -113.70\n",
+ "19 -114.40\n",
+ "20 -115.00\n",
+ "21 -115.60\n",
+ "22 -116.20\n",
+ "23 -116.80\n",
+ "24 -117.50\n",
+ "25 -118.20\n",
+ "26 -119.00\n",
+ "27 -119.80\n",
+ "28 -120.60\n",
+ "29 -121.50\n",
+ "30 -122.50\n",
+ "31 -123.50\n",
+ "32 -124.50\n",
+ "33 -125.50\n",
+ "34 -126.60\n",
+ "35 -127.70\n",
+ "36 -128.70\n",
+ "37 -129.70\n",
+ "38 -130.70\n",
+ "Name: Longitude_for_mapping, dtype: object\n",
+ "Lats: 1 12.40\n",
+ "2 13.10\n",
+ "3 13.80\n",
+ "4 14.60\n",
+ "5 15.40\n",
+ "6 16.20\n",
+ "7 16.90\n",
+ "8 17.40\n",
+ "9 17.70\n",
+ "10 18.00\n",
+ "11 18.30\n",
+ "12 18.60\n",
+ "13 19.10\n",
+ "14 19.50\n",
+ "15 19.80\n",
+ "16 20.10\n",
+ "17 20.40\n",
+ "18 20.70\n",
+ "19 21.00\n",
+ "20 21.30\n",
+ "21 21.60\n",
+ "22 21.80\n",
+ "23 21.90\n",
+ "24 21.90\n",
+ "25 21.90\n",
+ "26 22.10\n",
+ "27 22.60\n",
+ "28 23.20\n",
+ "29 23.50\n",
+ "30 23.70\n",
+ "31 23.80\n",
+ "32 23.90\n",
+ "33 23.90\n",
+ "34 23.80\n",
+ "35 23.80\n",
+ "36 23.70\n",
+ "37 23.60\n",
+ "38 23.50\n",
+ "Name: Latitude_for_mapping, dtype: object\n",
+ "x:[-11855525.769483637, -11900053.565800946, -11944581.362118255, -12000241.107514892, -12055900.852911528, -12111560.598308165, -12156088.394625476, -12211748.140022112, -12256275.936339421, -12311935.681736058, -12367595.427132694, -12412123.223450005, -12445519.070687987, -12478914.917925967, -12512310.765163951, -12545706.612401932, -12590234.408719242, -12657026.103195207, -12734949.746750498, -12801741.441226462, -12868533.135702426, -12935324.830178391, -13002116.524654353, -13080040.168209646, -13157963.811764937, -13247019.404399555, -13336074.997034175, -13425130.589668794, -13525318.131382739, -13636637.622176014, -13747957.112969287, -13859276.603762561, -13970596.094555834, -14093047.534428434, -14215498.974301036, -14326818.465094309, -14438137.955887582, -14549457.446680855]\n",
+ "y:[1391265.1621495972, 1471159.3451232612, 1551281.0038815641, 1643144.2622949211, 1735342.252565708, 1827895.5331194468, 1909187.5516940709, 1967437.5313950593, 2002463.7486873388, 2037548.5447506013, 2072693.0809751356, 2107898.5279782121, 2166712.8397487444, 2213892.1828597244, 2249353.1714308742, 2284881.0700673275, 2320477.1094807815, 2356142.5312251681, 2391878.5879443148, 2427686.5436241785, 2463567.6738498546, 2487529.7151387953, 2499523.266067402, 2499523.266067402, 2499523.266067402, 2523535.6699099964, 2583716.5456492887, 2656223.2399355415, 2692598.2193217874, 2716894.1810176135, 2729056.107633078, 2741227.3998925802, 2741227.3998925802, 2729056.107633078, 2729056.107633078, 2716894.1810176135, 2704741.5686532655, 2692598.2193217874]ID: 2016230N12328 Name: FIONA Season: 2016\n",
+ "Longs: 1 -32.20\n",
+ "2 -33.60\n",
+ "3 -34.80\n",
+ "4 -36.00\n",
+ "5 -37.30\n",
+ "6 -38.50\n",
+ "7 -39.40\n",
+ "8 -40.10\n",
+ "9 -40.80\n",
+ "10 -41.50\n",
+ "11 -42.30\n",
+ "12 -43.10\n",
+ "13 -43.90\n",
+ "14 -44.90\n",
+ "15 -46.10\n",
+ "16 -47.20\n",
+ "17 -48.40\n",
+ "18 -49.60\n",
+ "19 -51.10\n",
+ "20 -52.60\n",
+ "21 -54.20\n",
+ "22 -55.90\n",
+ "23 -57.60\n",
+ "24 -59.10\n",
+ "25 -60.50\n",
+ "26 -61.70\n",
+ "27 -62.90\n",
+ "28 -64.00\n",
+ "29 -64.90\n",
+ "30 -65.80\n",
+ "31 -66.70\n",
+ "Name: Longitude_for_mapping, dtype: object\n",
+ "Lats: 1 12.00\n",
+ "2 12.40\n",
+ "3 12.90\n",
+ "4 13.70\n",
+ "5 14.50\n",
+ "6 15.20\n",
+ "7 15.70\n",
+ "8 16.10\n",
+ "9 16.50\n",
+ "10 16.90\n",
+ "11 17.30\n",
+ "12 17.70\n",
+ "13 18.00\n",
+ "14 18.50\n",
+ "15 19.20\n",
+ "16 20.00\n",
+ "17 20.80\n",
+ "18 21.50\n",
+ "19 22.10\n",
+ "20 22.60\n",
+ "21 23.10\n",
+ "22 23.70\n",
+ "23 24.20\n",
+ "24 24.50\n",
+ "25 25.00\n",
+ "26 25.30\n",
+ "27 25.60\n",
+ "28 25.90\n",
+ "29 26.30\n",
+ "30 26.70\n",
+ "31 27.10\n",
+ "Name: Latitude_for_mapping, dtype: object\n",
+ "x:[-3584487.6035434096, -3740334.8906539925, -3873918.2796059204, -4007501.6685578488, -4152217.0065891044, -4285800.3955410328, -4385987.9372549793, -4463911.5808102703, -4541835.2243655622, -4619758.8679208532, -4708814.4605554724, -4797870.0531900916, -4886925.6458247099, -4998245.1366179837, -5131828.525569912, -5254279.9654425131, -5387863.3543944415, -5521446.7433463698, -5688425.97953628, -5855405.2157261902, -6033516.4009954287, -6222759.5353439935, -6412002.6696925582, -6578981.9058824684, -6734829.1929930514, -6868412.5819449807, -7001995.9708969081, -7124447.4107695092, -7224634.9524834557, -7324822.4941974012, -7425010.0359113477]\n",
+ "y:[1345708.408409107, 1391265.1621495972, 1448309.802150294, 1539820.6224079386, 1631643.4670073595, 1712260.2558615336, 1770006.9811914344, 1816306.2312880498, 1862698.8721506866, 1909187.5516940709, 1955774.9437035795, 2002463.7486873388, 2037548.5447506013, 2096156.5384662852, 2178496.8842412396, 2273030.926987689, 2368046.6396177849, 2451599.0873778537, 2523535.6699099964, 2583716.5456492887, 2644116.4340022062, 2716894.1810176135, 2777797.9871113901, 2814454.7323097689, 2875744.6243522423, 2912638.0910063866, 2949622.9843312614, 2986700.7776249819, 3036284.9233130249, 3086040.4513291898, 3135970.9925276837]\n",
+ "\n",
+ "\n"
+ ]
+ }
+ ],
+ "source": [
+ "test = Model(12800, 12805)\n",
+ "print(test)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ " \n",
+ "
\n",
+ "
Loading BokehJS ... \n",
+ "
"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/javascript": [
+ "\n",
+ "(function(root) {\n",
+ " function now() {\n",
+ " return new Date();\n",
+ " }\n",
+ "\n",
+ " var force = true;\n",
+ "\n",
+ " if (typeof (root._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n",
+ " root._bokeh_onload_callbacks = [];\n",
+ " root._bokeh_is_loading = undefined;\n",
+ " }\n",
+ "\n",
+ " var JS_MIME_TYPE = 'application/javascript';\n",
+ " var HTML_MIME_TYPE = 'text/html';\n",
+ " var EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n",
+ " var CLASS_NAME = 'output_bokeh rendered_html';\n",
+ "\n",
+ " /**\n",
+ " * Render data to the DOM node\n",
+ " */\n",
+ " function render(props, node) {\n",
+ " var script = document.createElement(\"script\");\n",
+ " node.appendChild(script);\n",
+ " }\n",
+ "\n",
+ " /**\n",
+ " * Handle when an output is cleared or removed\n",
+ " */\n",
+ " function handleClearOutput(event, handle) {\n",
+ " var cell = handle.cell;\n",
+ "\n",
+ " var id = cell.output_area._bokeh_element_id;\n",
+ " var server_id = cell.output_area._bokeh_server_id;\n",
+ " // Clean up Bokeh references\n",
+ " if (id !== undefined) {\n",
+ " Bokeh.index[id].model.document.clear();\n",
+ " delete Bokeh.index[id];\n",
+ " }\n",
+ "\n",
+ " if (server_id !== undefined) {\n",
+ " // Clean up Bokeh references\n",
+ " var cmd = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n",
+ " cell.notebook.kernel.execute(cmd, {\n",
+ " iopub: {\n",
+ " output: function(msg) {\n",
+ " var element_id = msg.content.text.trim();\n",
+ " Bokeh.index[element_id].model.document.clear();\n",
+ " delete Bokeh.index[element_id];\n",
+ " }\n",
+ " }\n",
+ " });\n",
+ " // Destroy server and session\n",
+ " var cmd = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n",
+ " cell.notebook.kernel.execute(cmd);\n",
+ " }\n",
+ " }\n",
+ "\n",
+ " /**\n",
+ " * Handle when a new output is added\n",
+ " */\n",
+ " function handleAddOutput(event, handle) {\n",
+ " var output_area = handle.output_area;\n",
+ " var output = handle.output;\n",
+ "\n",
+ " // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n",
+ " if ((output.output_type != \"display_data\") || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n",
+ " return\n",
+ " }\n",
+ "\n",
+ " var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
+ "\n",
+ " if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n",
+ " toinsert[0].firstChild.textContent = output.data[JS_MIME_TYPE];\n",
+ " // store reference to embed id on output_area\n",
+ " output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
+ " }\n",
+ " if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
+ " var bk_div = document.createElement(\"div\");\n",
+ " bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
+ " var script_attrs = bk_div.children[0].attributes;\n",
+ " for (var i = 0; i < script_attrs.length; i++) {\n",
+ " toinsert[0].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
+ " }\n",
+ " // store reference to server id on output_area\n",
+ " output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
+ " }\n",
+ " }\n",
+ "\n",
+ " function register_renderer(events, OutputArea) {\n",
+ "\n",
+ " function append_mime(data, metadata, element) {\n",
+ " // create a DOM node to render to\n",
+ " var toinsert = this.create_output_subarea(\n",
+ " metadata,\n",
+ " CLASS_NAME,\n",
+ " EXEC_MIME_TYPE\n",
+ " );\n",
+ " this.keyboard_manager.register_events(toinsert);\n",
+ " // Render to node\n",
+ " var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
+ " render(props, toinsert[0]);\n",
+ " element.append(toinsert);\n",
+ " return toinsert\n",
+ " }\n",
+ "\n",
+ " /* Handle when an output is cleared or removed */\n",
+ " events.on('clear_output.CodeCell', handleClearOutput);\n",
+ " events.on('delete.Cell', handleClearOutput);\n",
+ "\n",
+ " /* Handle when a new output is added */\n",
+ " events.on('output_added.OutputArea', handleAddOutput);\n",
+ "\n",
+ " /**\n",
+ " * Register the mime type and append_mime function with output_area\n",
+ " */\n",
+ " OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
+ " /* Is output safe? */\n",
+ " safe: true,\n",
+ " /* Index of renderer in `output_area.display_order` */\n",
+ " index: 0\n",
+ " });\n",
+ " }\n",
+ "\n",
+ " // register the mime type if in Jupyter Notebook environment and previously unregistered\n",
+ " if (root.Jupyter !== undefined) {\n",
+ " var events = require('base/js/events');\n",
+ " var OutputArea = require('notebook/js/outputarea').OutputArea;\n",
+ "\n",
+ " if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
+ " register_renderer(events, OutputArea);\n",
+ " }\n",
+ " }\n",
+ "\n",
+ " \n",
+ " if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n",
+ " root._bokeh_timeout = Date.now() + 5000;\n",
+ " root._bokeh_failed_load = false;\n",
+ " }\n",
+ "\n",
+ " var NB_LOAD_WARNING = {'data': {'text/html':\n",
+ " \"\\n\"+\n",
+ " \"
\\n\"+\n",
+ " \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
+ " \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
+ " \"
\\n\"+\n",
+ " \"
\\n\"+\n",
+ " \"re-rerun `output_notebook()` to attempt to load from CDN again, or \\n\"+\n",
+ " \"use INLINE resources instead, as so: \\n\"+\n",
+ " \" \\n\"+\n",
+ " \"
\\n\"+\n",
+ " \"from bokeh.resources import INLINE\\n\"+\n",
+ " \"output_notebook(resources=INLINE)\\n\"+\n",
+ " \"\\n\"+\n",
+ " \"
\"}};\n",
+ "\n",
+ " function display_loaded() {\n",
+ " var el = document.getElementById(\"c529e929-33b4-4589-90bf-abf461f5adbd\");\n",
+ " if (el != null) {\n",
+ " el.textContent = \"BokehJS is loading...\";\n",
+ " }\n",
+ " if (root.Bokeh !== undefined) {\n",
+ " if (el != null) {\n",
+ " el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n",
+ " }\n",
+ " } else if (Date.now() < root._bokeh_timeout) {\n",
+ " setTimeout(display_loaded, 100)\n",
+ " }\n",
+ " }\n",
+ "\n",
+ "\n",
+ " function run_callbacks() {\n",
+ " try {\n",
+ " root._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
+ " }\n",
+ " finally {\n",
+ " delete root._bokeh_onload_callbacks\n",
+ " }\n",
+ " console.info(\"Bokeh: all callbacks have finished\");\n",
+ " }\n",
+ "\n",
+ " function load_libs(js_urls, callback) {\n",
+ " root._bokeh_onload_callbacks.push(callback);\n",
+ " if (root._bokeh_is_loading > 0) {\n",
+ " console.log(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
+ " return null;\n",
+ " }\n",
+ " if (js_urls == null || js_urls.length === 0) {\n",
+ " run_callbacks();\n",
+ " return null;\n",
+ " }\n",
+ " console.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
+ " root._bokeh_is_loading = js_urls.length;\n",
+ " for (var i = 0; i < js_urls.length; i++) {\n",
+ " var url = js_urls[i];\n",
+ " var s = document.createElement('script');\n",
+ " s.src = url;\n",
+ " s.async = false;\n",
+ " s.onreadystatechange = s.onload = function() {\n",
+ " root._bokeh_is_loading--;\n",
+ " if (root._bokeh_is_loading === 0) {\n",
+ " console.log(\"Bokeh: all BokehJS libraries loaded\");\n",
+ " run_callbacks()\n",
+ " }\n",
+ " };\n",
+ " s.onerror = function() {\n",
+ " console.warn(\"failed to load library \" + url);\n",
+ " };\n",
+ " console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
+ " document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
+ " }\n",
+ " };var element = document.getElementById(\"c529e929-33b4-4589-90bf-abf461f5adbd\");\n",
+ " if (element == null) {\n",
+ " console.log(\"Bokeh: ERROR: autoload.js configured with elementid 'c529e929-33b4-4589-90bf-abf461f5adbd' but no matching script tag was found. \")\n",
+ " return false;\n",
+ " }\n",
+ "\n",
+ " var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.14.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.14.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.14.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-gl-0.12.14.min.js\"];\n",
+ "\n",
+ " var inline_js = [\n",
+ " function(Bokeh) {\n",
+ " Bokeh.set_log_level(\"info\");\n",
+ " },\n",
+ " \n",
+ " function(Bokeh) {\n",
+ " \n",
+ " },\n",
+ " function(Bokeh) {\n",
+ " console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-0.12.14.min.css\");\n",
+ " Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.14.min.css\");\n",
+ " console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.14.min.css\");\n",
+ " Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.14.min.css\");\n",
+ " console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.14.min.css\");\n",
+ " Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.14.min.css\");\n",
+ " }\n",
+ " ];\n",
+ "\n",
+ " function run_inline_js() {\n",
+ " \n",
+ " if ((root.Bokeh !== undefined) || (force === true)) {\n",
+ " for (var i = 0; i < inline_js.length; i++) {\n",
+ " inline_js[i].call(root, root.Bokeh);\n",
+ " }if (force === true) {\n",
+ " display_loaded();\n",
+ " }} else if (Date.now() < root._bokeh_timeout) {\n",
+ " setTimeout(run_inline_js, 100);\n",
+ " } else if (!root._bokeh_failed_load) {\n",
+ " console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
+ " root._bokeh_failed_load = true;\n",
+ " } else if (force !== true) {\n",
+ " var cell = $(document.getElementById(\"c529e929-33b4-4589-90bf-abf461f5adbd\")).parents('.cell').data().cell;\n",
+ " cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
+ " }\n",
+ "\n",
+ " }\n",
+ "\n",
+ " if (root._bokeh_is_loading === 0) {\n",
+ " console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
+ " run_inline_js();\n",
+ " } else {\n",
+ " load_libs(js_urls, function() {\n",
+ " console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
+ " run_inline_js();\n",
+ " });\n",
+ " }\n",
+ "}(window));"
+ ],
+ "application/vnd.bokehjs_load.v0+json": "\n(function(root) {\n function now() {\n return new Date();\n }\n\n var force = true;\n\n if (typeof (root._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n root._bokeh_onload_callbacks = [];\n root._bokeh_is_loading = undefined;\n }\n\n \n\n \n if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n var NB_LOAD_WARNING = {'data': {'text/html':\n \"\\n\"+\n \"
\\n\"+\n \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n \"
\\n\"+\n \"
\\n\"+\n \"re-rerun `output_notebook()` to attempt to load from CDN again, or \\n\"+\n \"use INLINE resources instead, as so: \\n\"+\n \" \\n\"+\n \"
\\n\"+\n \"from bokeh.resources import INLINE\\n\"+\n \"output_notebook(resources=INLINE)\\n\"+\n \"\\n\"+\n \"
\"}};\n\n function display_loaded() {\n var el = document.getElementById(\"c529e929-33b4-4589-90bf-abf461f5adbd\");\n if (el != null) {\n el.textContent = \"BokehJS is loading...\";\n }\n if (root.Bokeh !== undefined) {\n if (el != null) {\n el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(display_loaded, 100)\n }\n }\n\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n }\n finally {\n delete root._bokeh_onload_callbacks\n }\n console.info(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(js_urls, callback) {\n root._bokeh_onload_callbacks.push(callback);\n if (root._bokeh_is_loading > 0) {\n console.log(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls == null || js_urls.length === 0) {\n run_callbacks();\n return null;\n }\n console.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n root._bokeh_is_loading = js_urls.length;\n for (var i = 0; i < js_urls.length; i++) {\n var url = js_urls[i];\n var s = document.createElement('script');\n s.src = url;\n s.async = false;\n s.onreadystatechange = s.onload = function() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.log(\"Bokeh: all BokehJS libraries loaded\");\n run_callbacks()\n }\n };\n s.onerror = function() {\n console.warn(\"failed to load library \" + url);\n };\n console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.getElementsByTagName(\"head\")[0].appendChild(s);\n }\n };var element = document.getElementById(\"c529e929-33b4-4589-90bf-abf461f5adbd\");\n if (element == null) {\n console.log(\"Bokeh: ERROR: autoload.js configured with elementid 'c529e929-33b4-4589-90bf-abf461f5adbd' but no matching script tag was found. \")\n return false;\n }\n\n var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.14.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.14.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.14.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-gl-0.12.14.min.js\"];\n\n var inline_js = [\n function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\n \n function(Bokeh) {\n \n },\n function(Bokeh) {\n console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-0.12.14.min.css\");\n Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.14.min.css\");\n console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.14.min.css\");\n Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.14.min.css\");\n console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.14.min.css\");\n Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.14.min.css\");\n }\n ];\n\n function run_inline_js() {\n \n if ((root.Bokeh !== undefined) || (force === true)) {\n for (var i = 0; i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }if (force === true) {\n display_loaded();\n }} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n } else if (force !== true) {\n var cell = $(document.getElementById(\"c529e929-33b4-4589-90bf-abf461f5adbd\")).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n\n }\n\n if (root._bokeh_is_loading === 0) {\n console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(js_urls, function() {\n console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));"
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "from bokeh.io import output_notebook, show\n",
+ "output_notebook()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [],
+ "source": [
+ "from bokeh. plotting import figure\n",
+ "from bokeh.models import WMTSTileSource"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/javascript": [
+ "(function(root) {\n",
+ " function embed_document(root) {\n",
+ " \n",
+ " var docs_json = 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Data by OSM, under ODbL\",\"url\":\"http://a.basemaps.cartocdn.com/dark_all/{Z}/{X}/{Y}.png\"},\"id\":\"6f8d6c42-2056-408b-be60-061f11c320f6\",\"type\":\"WMTSTileSource\"},{\"attributes\":{\"formatter\":{\"id\":\"9c8f34d5-e6f7-49e2-b9a1-3ad33dd80381\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"7b1201b8-50b4-47e9-9a8c-0cfc9589239d\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"b25dd3e4-15fd-4498-a54c-afdbf6bee84f\",\"type\":\"BasicTicker\"},\"visible\":false},\"id\":\"21d31797-b300-4726-b2da-48d04c4fa2a1\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"ea2c6853-80a5-42a2-abe4-67f3ff35773b\",\"type\":\"LinearScale\"},{\"attributes\":{},\"id\":\"b25dd3e4-15fd-4498-a54c-afdbf6bee84f\",\"type\":\"BasicTicker\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"7b1201b8-50b4-47e9-9a8c-0cfc9589239d\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"b25dd3e4-15fd-4498-a54c-afdbf6bee84f\",\"type\":\"BasicTicker\"}},\"id\":\"164fa6a3-1ca6-478b-baf7-6fbd9fdc0c6e\",\"type\":\"Grid\"},{\"attributes\":{},\"id\":\"e3485eba-2027-491b-b129-c79bd4ddd773\",\"type\":\"PanTool\"},{\"attributes\":{\"tile_source\":{\"id\":\"6f8d6c42-2056-408b-be60-061f11c320f6\",\"type\":\"WMTSTileSource\"}},\"id\":\"85575212-eb86-4536-a3e1-3af99333b5dc\",\"type\":\"TileRenderer\"}],\"root_ids\":[\"7b1201b8-50b4-47e9-9a8c-0cfc9589239d\"]},\"title\":\"Bokeh Application\",\"version\":\"0.12.14\"}};\n",
+ " var render_items = [{\"docid\":\"7d516ab4-4a8d-4d7d-ae22-7bfbd6e793f7\",\"elementid\":\"841be242-a26f-4bad-88cf-b181458955a1\",\"modelid\":\"7b1201b8-50b4-47e9-9a8c-0cfc9589239d\"}];\n",
+ " root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
+ "\n",
+ " }\n",
+ " if (root.Bokeh !== undefined) {\n",
+ " embed_document(root);\n",
+ " } else {\n",
+ " var attempts = 0;\n",
+ " var timer = setInterval(function(root) {\n",
+ " if (root.Bokeh !== undefined) {\n",
+ " embed_document(root);\n",
+ " clearInterval(timer);\n",
+ " }\n",
+ " attempts++;\n",
+ " if (attempts > 100) {\n",
+ " console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\")\n",
+ " clearInterval(timer);\n",
+ " }\n",
+ " }, 10, root)\n",
+ " }\n",
+ "})(window);"
+ ],
+ "application/vnd.bokehjs_exec.v0+json": ""
+ },
+ "metadata": {
+ "application/vnd.bokehjs_exec.v0+json": {
+ "id": "7b1201b8-50b4-47e9-9a8c-0cfc9589239d"
+ }
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "import pandas as pd\n",
+ "import numpy as np\n",
+ "\n",
+ "USA = x_range,y_range = ((-13884029,-7453304), (2698291,6455972))\n",
+ "\n",
+ "p = figure(tools='pan, wheel_zoom', x_range=x_range, y_range=y_range)\n",
+ "p.axis.visible = False\n",
+ "\n",
+ "url = 'http://a.basemaps.cartocdn.com/dark_all/{Z}/{X}/{Y}.png'\n",
+ "attribution = \"Tiles by Carto, under CC BY 3.0. Data by OSM, under ODbL\"\n",
+ "\n",
+ "p.add_tile(WMTSTileSource(url=url, attribution=attribution))\n",
+ "\n",
+ "colors = ['firebrick', 'whitesmoke','olive','teal', 'thistle']\n",
+ "counter = 0\n",
+ "for k, v in test.hurricaneLst.items():\n",
+ " for elm in v:\n",
+ " p.circle(x=elm.x, y=elm.y, fill_color=colors[counter], size=10)\n",
+ " counter += 1\n",
+ "show(p)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/javascript": [
+ "(function(root) {\n",
+ " function embed_document(root) {\n",
+ " \n",
+ " var docs_json = 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+ " var render_items = [{\"docid\":\"2aa32703-0461-4044-a3cf-3370c1cfa9cf\",\"elementid\":\"b64a41b6-35e3-4acf-b81b-d056181072f5\",\"modelid\":\"d6dbb2fa-434f-4e8d-993e-9a7d2bcb6141\"}];\n",
+ " root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
+ "\n",
+ " }\n",
+ " if (root.Bokeh !== undefined) {\n",
+ " embed_document(root);\n",
+ " } else {\n",
+ " var attempts = 0;\n",
+ " var timer = setInterval(function(root) {\n",
+ " if (root.Bokeh !== undefined) {\n",
+ " embed_document(root);\n",
+ " clearInterval(timer);\n",
+ " }\n",
+ " attempts++;\n",
+ " if (attempts > 100) {\n",
+ " console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\")\n",
+ " clearInterval(timer);\n",
+ " }\n",
+ " }, 10, root)\n",
+ " }\n",
+ "})(window);"
+ ],
+ "application/vnd.bokehjs_exec.v0+json": ""
+ },
+ "metadata": {
+ "application/vnd.bokehjs_exec.v0+json": {
+ "id": "d6dbb2fa-434f-4e8d-993e-9a7d2bcb6141"
+ }
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "import pandas as pd\n",
+ "import numpy as np\n",
+ "\n",
+ "USA = x_range,y_range = ((-13884029,-7453304), (2698291,6455972))\n",
+ "\n",
+ "p = figure(tools='pan, wheel_zoom', x_range=x_range, y_range=y_range)\n",
+ "p.axis.visible = False\n",
+ "\n",
+ "url = 'http://a.basemaps.cartocdn.com/dark_all/{Z}/{X}/{Y}.png'\n",
+ "attribution = \"Tiles by Carto, under CC BY 3.0. Data by OSM, under ODbL\"\n",
+ "\n",
+ "p.add_tile(WMTSTileSource(url=url, attribution=attribution))\n",
+ "\n",
+ "colors = ['firebrick', 'whitesmoke','olive','teal', 'thistle']\n",
+ "counter = 0\n",
+ "for k, v in test.hurricaneLst.items():\n",
+ " for elm in v:\n",
+ " p.segment(elm.x[0:len(elm.x)-1],elm.y[0:len(elm.y)-1],elm.x[1:],elm.y[1:], color=colors[counter], line_width = 3)\n",
+ " p.circle(x=elm.x, y=elm.y, fill_color=colors[counter], size=10)\n",
+ " counter += 1\n",
+ "show(p)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 12,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/javascript": [
+ "(function(root) {\n",
+ " function embed_document(root) {\n",
+ " \n",
+ " var docs_json = {\"aed13139-6a8a-4858-afc6-a503704566ee\":{\"roots\":{\"references\":[{\"attributes\":{\"callback\":null,\"end\":-7453304,\"start\":-13884029},\"id\":\"30335d6d-2bcf-49af-aa3c-a895a957c49e\",\"type\":\"Range1d\"},{\"attributes\":{},\"id\":\"0af97938-e3ea-4e3e-bb25-831a143c1175\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"4ebf9181-06f7-4ee3-b77a-71dcb52f0900\",\"type\":\"PanTool\"},{\"attributes\":{\"plot\":null,\"text\":\"\"},\"id\":\"8027af15-ddc5-45b8-b675-277967b53449\",\"type\":\"Title\"},{\"attributes\":{},\"id\":\"ea164fdb-1313-4206-9569-6e5636987ad5\",\"type\":\"WheelZoomTool\"},{\"attributes\":{\"below\":[{\"id\":\"9a8c80e0-6ae3-49eb-8543-c9ed7b35f75b\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"d5ea44bd-5b4c-404c-8d3f-9626a65f9617\",\"type\":\"LinearAxis\"}],\"renderers\":[{\"id\":\"9a8c80e0-6ae3-49eb-8543-c9ed7b35f75b\",\"type\":\"LinearAxis\"},{\"id\":\"ddfd3018-234a-4eaa-ab78-c6f7de6c2ced\",\"type\":\"Grid\"},{\"id\":\"d5ea44bd-5b4c-404c-8d3f-9626a65f9617\",\"type\":\"LinearAxis\"},{\"id\":\"6942222a-eb10-46ea-b334-83a41a89bda9\",\"type\":\"Grid\"},{\"id\":\"3cd2b32e-640e-4a2c-a122-021da0f9f94b\",\"type\":\"TileRenderer\"}],\"title\":{\"id\":\"8027af15-ddc5-45b8-b675-277967b53449\",\"type\":\"Title\"},\"toolbar\":{\"id\":\"873a9071-3e39-4d03-8869-2c0026f827b0\",\"type\":\"Toolbar\"},\"x_range\":{\"id\":\"30335d6d-2bcf-49af-aa3c-a895a957c49e\",\"type\":\"Range1d\"},\"x_scale\":{\"id\":\"8f648bd0-a67b-4873-b955-d38a20e7d77c\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"9cc335be-c314-407b-b856-77f78238c21c\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"3a1d2590-a76c-4a96-8926-b804bddc6110\",\"type\":\"LinearScale\"}},\"id\":\"0b9699e3-2519-4499-a5e5-2a6039d5adb0\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"4ebf9181-06f7-4ee3-b77a-71dcb52f0900\",\"type\":\"PanTool\"},{\"id\":\"ea164fdb-1313-4206-9569-6e5636987ad5\",\"type\":\"WheelZoomTool\"}]},\"id\":\"873a9071-3e39-4d03-8869-2c0026f827b0\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"214f3251-8994-45f3-8439-dff83e19822b\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"3b75b5ff-3ece-478e-a71f-a8afbd058738\",\"type\":\"BasicTicker\"},{\"attributes\":{\"formatter\":{\"id\":\"214f3251-8994-45f3-8439-dff83e19822b\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"0b9699e3-2519-4499-a5e5-2a6039d5adb0\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"8539f254-632e-4e5b-9009-449a6c1da305\",\"type\":\"BasicTicker\"},\"visible\":false},\"id\":\"9a8c80e0-6ae3-49eb-8543-c9ed7b35f75b\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"3a1d2590-a76c-4a96-8926-b804bddc6110\",\"type\":\"LinearScale\"},{\"attributes\":{\"callback\":null,\"end\":6455972,\"start\":2698291},\"id\":\"9cc335be-c314-407b-b856-77f78238c21c\",\"type\":\"Range1d\"},{\"attributes\":{},\"id\":\"8539f254-632e-4e5b-9009-449a6c1da305\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"8f648bd0-a67b-4873-b955-d38a20e7d77c\",\"type\":\"LinearScale\"},{\"attributes\":{\"attribution\":\"Tiles by Carto, under CC BY 3.0. Data by OSM, under ODbL\",\"url\":\"http://a.basemaps.cartocdn.com/dark_all/{Z}/{X}/{Y}.png\"},\"id\":\"cfde16a4-f56f-45ba-9d25-ae4d710f2cd4\",\"type\":\"WMTSTileSource\"},{\"attributes\":{\"formatter\":{\"id\":\"0af97938-e3ea-4e3e-bb25-831a143c1175\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"0b9699e3-2519-4499-a5e5-2a6039d5adb0\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"3b75b5ff-3ece-478e-a71f-a8afbd058738\",\"type\":\"BasicTicker\"},\"visible\":false},\"id\":\"d5ea44bd-5b4c-404c-8d3f-9626a65f9617\",\"type\":\"LinearAxis\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"0b9699e3-2519-4499-a5e5-2a6039d5adb0\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"3b75b5ff-3ece-478e-a71f-a8afbd058738\",\"type\":\"BasicTicker\"}},\"id\":\"6942222a-eb10-46ea-b334-83a41a89bda9\",\"type\":\"Grid\"},{\"attributes\":{\"tile_source\":{\"id\":\"cfde16a4-f56f-45ba-9d25-ae4d710f2cd4\",\"type\":\"WMTSTileSource\"}},\"id\":\"3cd2b32e-640e-4a2c-a122-021da0f9f94b\",\"type\":\"TileRenderer\"},{\"attributes\":{\"plot\":{\"id\":\"0b9699e3-2519-4499-a5e5-2a6039d5adb0\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"8539f254-632e-4e5b-9009-449a6c1da305\",\"type\":\"BasicTicker\"}},\"id\":\"ddfd3018-234a-4eaa-ab78-c6f7de6c2ced\",\"type\":\"Grid\"}],\"root_ids\":[\"0b9699e3-2519-4499-a5e5-2a6039d5adb0\"]},\"title\":\"Bokeh Application\",\"version\":\"0.12.14\"}};\n",
+ " var render_items = [{\"docid\":\"aed13139-6a8a-4858-afc6-a503704566ee\",\"elementid\":\"ac3136e1-41c0-486e-9aef-9cfc0d2e3408\",\"modelid\":\"0b9699e3-2519-4499-a5e5-2a6039d5adb0\"}];\n",
+ " root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
+ "\n",
+ " }\n",
+ " if (root.Bokeh !== undefined) {\n",
+ " embed_document(root);\n",
+ " } else {\n",
+ " var attempts = 0;\n",
+ " var timer = setInterval(function(root) {\n",
+ " if (root.Bokeh !== undefined) {\n",
+ " embed_document(root);\n",
+ " clearInterval(timer);\n",
+ " }\n",
+ " attempts++;\n",
+ " if (attempts > 100) {\n",
+ " console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\")\n",
+ " clearInterval(timer);\n",
+ " }\n",
+ " }, 10, root)\n",
+ " }\n",
+ "})(window);"
+ ],
+ "application/vnd.bokehjs_exec.v0+json": ""
+ },
+ "metadata": {
+ "application/vnd.bokehjs_exec.v0+json": {
+ "id": "0b9699e3-2519-4499-a5e5-2a6039d5adb0"
+ }
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "import pandas as pd\n",
+ "import numpy as np\n",
+ "from bokeh.models import HoverTool\n",
+ "from bokeh.models import ColumnDataSource\n",
+ "\n",
+ "USA = x_range,y_range = ((-13884029,-7453304), (2698291,6455972))\n",
+ "\n",
+ "p = figure(tools=['pan', 'wheel_zoom', hover1], x_range=x_range, y_range=y_range)\n",
+ "p.axis.visible = False\n",
+ "\n",
+ "url = 'http://a.basemaps.cartocdn.com/dark_all/{Z}/{X}/{Y}.png'\n",
+ "attribution = \"Tiles by Carto, under CC BY 3.0. Data by OSM, under ODbL\"\n",
+ "\n",
+ "p.add_tile(WMTSTileSource(url=url, attribution=attribution))\n",
+ "\n",
+ "colors = ['firebrick', 'whitesmoke','olive','teal', 'salmon']\n",
+ "counter = 0\n",
+ "hurricanenames = []\n",
+ "\n",
+ "for k,v in test.hurricaneLst.items():\n",
+ " for elm in v:\n",
+ " source = ColumnDataSource(\n",
+ " data = dict(\n",
+ " id = [elm.id],\n",
+ " season = [elm.season],\n",
+ " name = [elm.name],\n",
+ " x = [elm.x],\n",
+ " y = [elm.y],\n",
+ " )\n",
+ " )\n",
+ " hover1 = HoverTool(tooltips =[\n",
+ " ('point in hurricane', '$index'),\n",
+ " ]\n",
+ " )\n",
+ " p.segment(elm.x[0:len(elm.x)-1],elm.y[0:len(elm.y)-1],elm.x[1:],elm.y[1:], color=colors[counter], line_width = 3)\n",
+ "# p.circle('x','y', fill_color=colors[counter],size=10, source=source)\n",
+ "# I think that instead of the line below, we should be using the line above, but when I try that, the circles don't\n",
+ "# appear. We definately need to be using a ColumnDataSource if we want tooltips to show during our hover, this way\n",
+ "# we can add source as an attribute and the dataframe will be referenced. We could also try a custom JSCallback, \n",
+ "# but it would require us to write code in Java I think. Anyway, this is where I got, and I may try to get further \n",
+ "# in my branch later. \n",
+ " p.circle(elm.x,elm.y, fill_color=colors[counter], size=10)\n",
+ " counter += 1\n",
+ "\n",
+ " name = elm.name\n",
+ " hurricanenames.append(name)\n",
+ " \n",
+ "\n",
+ "show(p)\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 54,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/javascript": [
+ "(function(root) {\n",
+ " function embed_document(root) {\n",
+ " \n",
+ " var docs_json = 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+ " root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
+ "\n",
+ " }\n",
+ " if (root.Bokeh !== undefined) {\n",
+ " embed_document(root);\n",
+ " } else {\n",
+ " var attempts = 0;\n",
+ " var timer = setInterval(function(root) {\n",
+ " if (root.Bokeh !== undefined) {\n",
+ " embed_document(root);\n",
+ " clearInterval(timer);\n",
+ " }\n",
+ " attempts++;\n",
+ " if (attempts > 100) {\n",
+ " console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\")\n",
+ " clearInterval(timer);\n",
+ " }\n",
+ " }, 10, root)\n",
+ " }\n",
+ "})(window);"
+ ],
+ "application/vnd.bokehjs_exec.v0+json": ""
+ },
+ "metadata": {
+ "application/vnd.bokehjs_exec.v0+json": {
+ "id": "300776f3-27d1-47e6-8de8-db334f041c39"
+ }
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "import pandas as pd\n",
+ "import numpy as np\n",
+ "from bokeh.plotting import figure, output_file, show, ColumnDataSource\n",
+ "from bokeh.models import HoverTool\n",
+ "\n",
+ "USA = x_range,y_range = ((-13884029,-7453304), (2698291,6455972))\n",
+ "\n",
+ "p = figure(tools=['hover', 'pan', 'wheel_zoom'], x_range=x_range, y_range=y_range)\n",
+ "p.axis.visible = False\n",
+ "\n",
+ "url = 'http://a.basemaps.cartocdn.com/dark_all/{Z}/{X}/{Y}.png'\n",
+ "attribution = \"Tiles by Carto, under CC BY 3.0. Data by OSM, under ODbL\"\n",
+ "\n",
+ "p.add_tile(WMTSTileSource(url=url, attribution=attribution))\n",
+ "\n",
+ "colors = ['firebrick', 'whitesmoke','olive','teal', 'salmon']\n",
+ "counter = 0\n",
+ "hurricanenames = []\n",
+ "\n",
+ "for k,v in test.hurricaneLst.items():\n",
+ " for elm in v:\n",
+ "# source = ColumnDataSource(\n",
+ "# data = dict(\n",
+ "# id = [elm.id],\n",
+ "# season = [elm.season],\n",
+ "# name = [elm.name],\n",
+ "# x = [elm.x],\n",
+ "# y = [elm.y],\n",
+ "# )\n",
+ "# )\n",
+ "# hover1 = HoverTool(tooltips =[\n",
+ "# (\"index\", \"$index\"),\n",
+ "# (\"(x,y)\", \"($x, $y)\"),\n",
+ "# (\"name\", \"@name\"),\n",
+ "# ]\n",
+ "# ) \n",
+ " source = ColumnDataSource(data={\n",
+ " 'x': elm.x,\n",
+ " 'y': elm.y,\n",
+ " 'name': [elm.name for n in range(len(elm.x))]\n",
+ " })\n",
+ "# source = ColumnDataSource(data={'name': [names[counter] for n in range(5)]})\n",
+ "# source = ColumnDataSource(\n",
+ "# pd.DataFrame(elm.name)\n",
+ "# )\n",
+ " p.line('x', 'y', source=source, color=colors[counter], line_width = 3)\n",
+ "# p.segment(elm.x[0:len(elm.x)-1],elm.y[0:len(elm.y)-1],elm.x[1:],elm.y[1:], color=colors[counter], line_width = 3)\n",
+ "# p.circle('x','y', fill_color=colors[counter],size=10, source=source)\n",
+ "# I think that instead of the line below, we should be using the line above, but when I try that, the circles don't\n",
+ "# appear. We definately need to be using a ColumnDataSource if we want tooltips to show during our hover, this way\n",
+ "# we can add source as an attribute and the dataframe will be referenced. We could also try a custom JSCallback, \n",
+ "# but it would require us to write code in Java I think. Anyway, this is where I got, and I may try to get further \n",
+ "# in my branch later. \n",
+ " circle = p.circle('x','y', source=source, fill_color=colors[counter], size=10)\n",
+ " p.tools[0].renderers.append(circle)\n",
+ " counter += 1\n",
+ " name = elm.name\n",
+ " hurricanenames.append(name)\n",
+ " \n",
+ "hover = p.select(dict(type=HoverTool))\n",
+ "hover.tooltips = [(\"Series\", \"@name\"),]\n",
+ "hover.mode = 'mouse'\n",
+ " \n",
+ "show(p)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {},
+ "outputs": [
+ {
+ "ename": "NameError",
+ "evalue": "name 'hover1' is not defined",
+ "output_type": "error",
+ "traceback": [
+ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+ "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
+ "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 6\u001b[0m \u001b[0mUSA\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mx_range\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0my_range\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m13884029\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m7453304\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;36m2698291\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m6455972\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 7\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 8\u001b[0;31m \u001b[0mp\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfigure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtools\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'pan'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'wheel_zoom'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mhover1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mx_range\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mx_range\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0my_range\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0my_range\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 9\u001b[0m \u001b[0mp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maxis\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mvisible\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 10\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+ "\u001b[0;31mNameError\u001b[0m: name 'hover1' is not defined"
+ ]
+ }
+ ],
+ "source": [
+ "import pandas as pd\n",
+ "import numpy as np\n",
+ "from bokeh.models import HoverTool\n",
+ "from bokeh.models import ColumnDataSource\n",
+ "\n",
+ "USA = x_range,y_range = ((-13884029,-7453304), (2698291,6455972))\n",
+ "\n",
+ "p = figure(tools=['pan', 'wheel_zoom', hover1], x_range=x_range, y_range=y_range)\n",
+ "p.axis.visible = False\n",
+ "\n",
+ "url = 'http://a.basemaps.cartocdn.com/dark_all/{Z}/{X}/{Y}.png'\n",
+ "attribution = \"Tiles by Carto, under CC BY 3.0. Data by OSM, under ODbL\"\n",
+ "\n",
+ "p.add_tile(WMTSTileSource(url=url, attribution=attribution))\n",
+ "\n",
+ "colors = ['firebrick', 'whitesmoke','olive','teal', 'salmon']\n",
+ "counter = 0\n",
+ "hurricanenames = []\n",
+ "\n",
+ "for k,v in test.hurricaneLst.items():\n",
+ " for elm in v:\n",
+ "\n",
+ " hover1 = HoverTool(tooltips =[\n",
+ " ('point in hurricane', '$index'),\n",
+ " ('(x,y)','($x,$y)'),\n",
+ " ('serial number', '@name'),\n",
+ " ]\n",
+ " )\n",
+ " p.segment(elm.x[0:len(elm.x)-1],elm.y[0:len(elm.y)-1],elm.x[1:],elm.y[1:], color=colors[counter], line_width = 3)\n",
+ " p.circle(elm.x,elm.y, fill_color=colors[counter], size=10, name = elm.name)\n",
+ " counter += 1\n",
+ "\n",
+ " name = elm.name\n",
+ " hurricanenames.append(name)\n",
+ " \n",
+ "\n",
+ "show(p)\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.6.3"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/Bokeh Archive/MVPv2.ipynb b/Bokeh Archive/MVPv2.ipynb
new file mode 100644
index 00000000..8e4b7332
--- /dev/null
+++ b/Bokeh Archive/MVPv2.ipynb
@@ -0,0 +1,1171 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ " \n",
+ "
\n",
+ "
Loading BokehJS ... \n",
+ "
"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/javascript": [
+ "\n",
+ "(function(root) {\n",
+ " function now() {\n",
+ " return new Date();\n",
+ " }\n",
+ "\n",
+ " var force = true;\n",
+ "\n",
+ " if (typeof (root._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n",
+ " root._bokeh_onload_callbacks = [];\n",
+ " root._bokeh_is_loading = undefined;\n",
+ " }\n",
+ "\n",
+ " var JS_MIME_TYPE = 'application/javascript';\n",
+ " var HTML_MIME_TYPE = 'text/html';\n",
+ " var EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n",
+ " var CLASS_NAME = 'output_bokeh rendered_html';\n",
+ "\n",
+ " /**\n",
+ " * Render data to the DOM node\n",
+ " */\n",
+ " function render(props, node) {\n",
+ " var script = document.createElement(\"script\");\n",
+ " node.appendChild(script);\n",
+ " }\n",
+ "\n",
+ " /**\n",
+ " * Handle when an output is cleared or removed\n",
+ " */\n",
+ " function handleClearOutput(event, handle) {\n",
+ " var cell = handle.cell;\n",
+ "\n",
+ " var id = cell.output_area._bokeh_element_id;\n",
+ " var server_id = cell.output_area._bokeh_server_id;\n",
+ " // Clean up Bokeh references\n",
+ " if (id !== undefined) {\n",
+ " Bokeh.index[id].model.document.clear();\n",
+ " delete Bokeh.index[id];\n",
+ " }\n",
+ "\n",
+ " if (server_id !== undefined) {\n",
+ " // Clean up Bokeh references\n",
+ " var cmd = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n",
+ " cell.notebook.kernel.execute(cmd, {\n",
+ " iopub: {\n",
+ " output: function(msg) {\n",
+ " var element_id = msg.content.text.trim();\n",
+ " Bokeh.index[element_id].model.document.clear();\n",
+ " delete Bokeh.index[element_id];\n",
+ " }\n",
+ " }\n",
+ " });\n",
+ " // Destroy server and session\n",
+ " var cmd = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n",
+ " cell.notebook.kernel.execute(cmd);\n",
+ " }\n",
+ " }\n",
+ "\n",
+ " /**\n",
+ " * Handle when a new output is added\n",
+ " */\n",
+ " function handleAddOutput(event, handle) {\n",
+ " var output_area = handle.output_area;\n",
+ " var output = handle.output;\n",
+ "\n",
+ " // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n",
+ " if ((output.output_type != \"display_data\") || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n",
+ " return\n",
+ " }\n",
+ "\n",
+ " var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n",
+ "\n",
+ " if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n",
+ " toinsert[0].firstChild.textContent = output.data[JS_MIME_TYPE];\n",
+ " // store reference to embed id on output_area\n",
+ " output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
+ " }\n",
+ " if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
+ " var bk_div = document.createElement(\"div\");\n",
+ " bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
+ " var script_attrs = bk_div.children[0].attributes;\n",
+ " for (var i = 0; i < script_attrs.length; i++) {\n",
+ " toinsert[0].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
+ " }\n",
+ " // store reference to server id on output_area\n",
+ " output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
+ " }\n",
+ " }\n",
+ "\n",
+ " function register_renderer(events, OutputArea) {\n",
+ "\n",
+ " function append_mime(data, metadata, element) {\n",
+ " // create a DOM node to render to\n",
+ " var toinsert = this.create_output_subarea(\n",
+ " metadata,\n",
+ " CLASS_NAME,\n",
+ " EXEC_MIME_TYPE\n",
+ " );\n",
+ " this.keyboard_manager.register_events(toinsert);\n",
+ " // Render to node\n",
+ " var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
+ " render(props, toinsert[0]);\n",
+ " element.append(toinsert);\n",
+ " return toinsert\n",
+ " }\n",
+ "\n",
+ " /* Handle when an output is cleared or removed */\n",
+ " events.on('clear_output.CodeCell', handleClearOutput);\n",
+ " events.on('delete.Cell', handleClearOutput);\n",
+ "\n",
+ " /* Handle when a new output is added */\n",
+ " events.on('output_added.OutputArea', handleAddOutput);\n",
+ "\n",
+ " /**\n",
+ " * Register the mime type and append_mime function with output_area\n",
+ " */\n",
+ " OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
+ " /* Is output safe? */\n",
+ " safe: true,\n",
+ " /* Index of renderer in `output_area.display_order` */\n",
+ " index: 0\n",
+ " });\n",
+ " }\n",
+ "\n",
+ " // register the mime type if in Jupyter Notebook environment and previously unregistered\n",
+ " if (root.Jupyter !== undefined) {\n",
+ " var events = require('base/js/events');\n",
+ " var OutputArea = require('notebook/js/outputarea').OutputArea;\n",
+ "\n",
+ " if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
+ " register_renderer(events, OutputArea);\n",
+ " }\n",
+ " }\n",
+ "\n",
+ " \n",
+ " if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n",
+ " root._bokeh_timeout = Date.now() + 5000;\n",
+ " root._bokeh_failed_load = false;\n",
+ " }\n",
+ "\n",
+ " var NB_LOAD_WARNING = {'data': {'text/html':\n",
+ " \"\\n\"+\n",
+ " \"
\\n\"+\n",
+ " \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
+ " \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
+ " \"
\\n\"+\n",
+ " \"
\\n\"+\n",
+ " \"re-rerun `output_notebook()` to attempt to load from CDN again, or \\n\"+\n",
+ " \"use INLINE resources instead, as so: \\n\"+\n",
+ " \" \\n\"+\n",
+ " \"
\\n\"+\n",
+ " \"from bokeh.resources import INLINE\\n\"+\n",
+ " \"output_notebook(resources=INLINE)\\n\"+\n",
+ " \"\\n\"+\n",
+ " \"
\"}};\n",
+ "\n",
+ " function display_loaded() {\n",
+ " var el = document.getElementById(\"196f8bfc-5f10-40e4-960c-82d0fecc6af7\");\n",
+ " if (el != null) {\n",
+ " el.textContent = \"BokehJS is loading...\";\n",
+ " }\n",
+ " if (root.Bokeh !== undefined) {\n",
+ " if (el != null) {\n",
+ " el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n",
+ " }\n",
+ " } else if (Date.now() < root._bokeh_timeout) {\n",
+ " setTimeout(display_loaded, 100)\n",
+ " }\n",
+ " }\n",
+ "\n",
+ "\n",
+ " function run_callbacks() {\n",
+ " try {\n",
+ " root._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
+ " }\n",
+ " finally {\n",
+ " delete root._bokeh_onload_callbacks\n",
+ " }\n",
+ " console.info(\"Bokeh: all callbacks have finished\");\n",
+ " }\n",
+ "\n",
+ " function load_libs(js_urls, callback) {\n",
+ " root._bokeh_onload_callbacks.push(callback);\n",
+ " if (root._bokeh_is_loading > 0) {\n",
+ " console.log(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
+ " return null;\n",
+ " }\n",
+ " if (js_urls == null || js_urls.length === 0) {\n",
+ " run_callbacks();\n",
+ " return null;\n",
+ " }\n",
+ " console.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
+ " root._bokeh_is_loading = js_urls.length;\n",
+ " for (var i = 0; i < js_urls.length; i++) {\n",
+ " var url = js_urls[i];\n",
+ " var s = document.createElement('script');\n",
+ " s.src = url;\n",
+ " s.async = false;\n",
+ " s.onreadystatechange = s.onload = function() {\n",
+ " root._bokeh_is_loading--;\n",
+ " if (root._bokeh_is_loading === 0) {\n",
+ " console.log(\"Bokeh: all BokehJS libraries loaded\");\n",
+ " run_callbacks()\n",
+ " }\n",
+ " };\n",
+ " s.onerror = function() {\n",
+ " console.warn(\"failed to load library \" + url);\n",
+ " };\n",
+ " console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
+ " document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
+ " }\n",
+ " };var element = document.getElementById(\"196f8bfc-5f10-40e4-960c-82d0fecc6af7\");\n",
+ " if (element == null) {\n",
+ " console.log(\"Bokeh: ERROR: autoload.js configured with elementid '196f8bfc-5f10-40e4-960c-82d0fecc6af7' but no matching script tag was found. \")\n",
+ " return false;\n",
+ " }\n",
+ "\n",
+ " var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.14.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.14.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.14.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-gl-0.12.14.min.js\"];\n",
+ "\n",
+ " var inline_js = [\n",
+ " function(Bokeh) {\n",
+ " Bokeh.set_log_level(\"info\");\n",
+ " },\n",
+ " \n",
+ " function(Bokeh) {\n",
+ " \n",
+ " },\n",
+ " function(Bokeh) {\n",
+ " console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-0.12.14.min.css\");\n",
+ " Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.14.min.css\");\n",
+ " console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.14.min.css\");\n",
+ " Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.14.min.css\");\n",
+ " console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.14.min.css\");\n",
+ " Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.14.min.css\");\n",
+ " }\n",
+ " ];\n",
+ "\n",
+ " function run_inline_js() {\n",
+ " \n",
+ " if ((root.Bokeh !== undefined) || (force === true)) {\n",
+ " for (var i = 0; i < inline_js.length; i++) {\n",
+ " inline_js[i].call(root, root.Bokeh);\n",
+ " }if (force === true) {\n",
+ " display_loaded();\n",
+ " }} else if (Date.now() < root._bokeh_timeout) {\n",
+ " setTimeout(run_inline_js, 100);\n",
+ " } else if (!root._bokeh_failed_load) {\n",
+ " console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
+ " root._bokeh_failed_load = true;\n",
+ " } else if (force !== true) {\n",
+ " var cell = $(document.getElementById(\"196f8bfc-5f10-40e4-960c-82d0fecc6af7\")).parents('.cell').data().cell;\n",
+ " cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
+ " }\n",
+ "\n",
+ " }\n",
+ "\n",
+ " if (root._bokeh_is_loading === 0) {\n",
+ " console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
+ " run_inline_js();\n",
+ " } else {\n",
+ " load_libs(js_urls, function() {\n",
+ " console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
+ " run_inline_js();\n",
+ " });\n",
+ " }\n",
+ "}(window));"
+ ],
+ "application/vnd.bokehjs_load.v0+json": "\n(function(root) {\n function now() {\n return new Date();\n }\n\n var force = true;\n\n if (typeof (root._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n root._bokeh_onload_callbacks = [];\n root._bokeh_is_loading = undefined;\n }\n\n \n\n \n if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n var NB_LOAD_WARNING = {'data': {'text/html':\n \"\\n\"+\n \"
\\n\"+\n \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n \"
\\n\"+\n \"
\\n\"+\n \"re-rerun `output_notebook()` to attempt to load from CDN again, or \\n\"+\n \"use INLINE resources instead, as so: \\n\"+\n \" \\n\"+\n \"
\\n\"+\n \"from bokeh.resources import INLINE\\n\"+\n \"output_notebook(resources=INLINE)\\n\"+\n \"\\n\"+\n \"
\"}};\n\n function display_loaded() {\n var el = document.getElementById(\"196f8bfc-5f10-40e4-960c-82d0fecc6af7\");\n if (el != null) {\n el.textContent = \"BokehJS is loading...\";\n }\n if (root.Bokeh !== undefined) {\n if (el != null) {\n el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(display_loaded, 100)\n }\n }\n\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n }\n finally {\n delete root._bokeh_onload_callbacks\n }\n console.info(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(js_urls, callback) {\n root._bokeh_onload_callbacks.push(callback);\n if (root._bokeh_is_loading > 0) {\n console.log(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls == null || js_urls.length === 0) {\n run_callbacks();\n return null;\n }\n console.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n root._bokeh_is_loading = js_urls.length;\n for (var i = 0; i < js_urls.length; i++) {\n var url = js_urls[i];\n var s = document.createElement('script');\n s.src = url;\n s.async = false;\n s.onreadystatechange = s.onload = function() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.log(\"Bokeh: all BokehJS libraries loaded\");\n run_callbacks()\n }\n };\n s.onerror = function() {\n console.warn(\"failed to load library \" + url);\n };\n console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.getElementsByTagName(\"head\")[0].appendChild(s);\n }\n };var element = document.getElementById(\"196f8bfc-5f10-40e4-960c-82d0fecc6af7\");\n if (element == null) {\n console.log(\"Bokeh: ERROR: autoload.js configured with elementid '196f8bfc-5f10-40e4-960c-82d0fecc6af7' but no matching script tag was found. \")\n return false;\n }\n\n var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.14.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.14.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.14.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-gl-0.12.14.min.js\"];\n\n var inline_js = [\n function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\n \n function(Bokeh) {\n \n },\n function(Bokeh) {\n console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-0.12.14.min.css\");\n Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.14.min.css\");\n console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.14.min.css\");\n Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.14.min.css\");\n console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.14.min.css\");\n Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.14.min.css\");\n }\n ];\n\n function run_inline_js() {\n \n if ((root.Bokeh !== undefined) || (force === true)) {\n for (var i = 0; i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }if (force === true) {\n display_loaded();\n }} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n } else if (force !== true) {\n var cell = $(document.getElementById(\"196f8bfc-5f10-40e4-960c-82d0fecc6af7\")).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n\n }\n\n if (root._bokeh_is_loading === 0) {\n console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(js_urls, function() {\n console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));"
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "from Model import Model\n",
+ "import pandas as pd\n",
+ "from bokeh.io import output_notebook, show\n",
+ "from bokeh. plotting import figure, ColumnDataSource\n",
+ "from bokeh.models import WMTSTileSource, HoverTool\n",
+ "output_notebook()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "YEAR: 2016\n",
+ "ID: 2016223N22089 Name: NOT NAMED Season: 2016\n",
+ "Longs: 1 88.50\n",
+ "2 88.50\n",
+ "3 89.00\n",
+ "4 89.70\n",
+ "5 89.40\n",
+ "6 89.30\n",
+ "7 89.10\n",
+ "8 88.50\n",
+ "9 87.80\n",
+ "10 87.40\n",
+ "11 87.00\n",
+ "12 86.50\n",
+ "13 85.70\n",
+ "14 85.00\n",
+ "15 84.50\n",
+ "16 84.50\n",
+ "17 84.50\n",
+ "18 84.00\n",
+ "Name: Longitude_for_mapping, dtype: object\n",
+ "Lats: 1 22.00\n",
+ "2 22.00\n",
+ "3 22.50\n",
+ "4 22.80\n",
+ "5 23.00\n",
+ "6 23.10\n",
+ "7 23.40\n",
+ "8 23.60\n",
+ "9 23.80\n",
+ "10 24.00\n",
+ "11 24.00\n",
+ "12 24.00\n",
+ "13 24.00\n",
+ "14 24.00\n",
+ "15 24.00\n",
+ "16 24.00\n",
+ "17 24.20\n",
+ "18 24.40\n",
+ "Name: Latitude_for_mapping, dtype: object\n",
+ "x:[9851774.9352047127, 9851774.9352047127, 9907434.6806013491, 9985358.3241566401, 9951962.4769186582, 9940830.527839331, 9918566.6296806745, 9851774.9352047127, 9773851.2916494198, 9729323.4953321107, 9684795.6990148015, 9629135.9536181651, 9540080.3609835468, 9462156.717428254, 9406496.9720316175, 9406496.9720316175, 9406496.9720316175, 9350837.2266349811]\n",
+ "y:[2511525.2348457128, 2511525.2348457128, 2571663.0471736449, 2607849.8726871307, 2632018.6375864232, 2644116.4340022062, 2680464.0819783327, 2704741.5686532655, 2729056.107633078, 2753408.109364979, 2753408.109364979, 2753408.109364979, 2753408.109364979, 2753408.109364979, 2753408.109364979, 2753408.109364979, 2777797.9871113901, 2802226.1569912531]ID: 2016225N16138 Name: CHANTHU Season: 2016\n",
+ "Longs: 1 137.60\n",
+ "2 138.00\n",
+ "3 138.50\n",
+ "4 139.20\n",
+ "5 139.70\n",
+ "6 140.48\n",
+ "7 141.47\n",
+ "8 142.21\n",
+ "9 143.19\n",
+ "10 143.97\n",
+ "11 144.45\n",
+ "12 144.78\n",
+ "13 144.88\n",
+ "14 144.40\n",
+ "15 143.85\n",
+ "16 142.85\n",
+ "17 142.22\n",
+ "18 141.35\n",
+ "19 141.03\n",
+ "20 141.21\n",
+ "21 141.67\n",
+ "22 142.20\n",
+ "23 142.64\n",
+ "24 143.00\n",
+ "25 143.10\n",
+ "26 143.12\n",
+ "27 144.60\n",
+ "28 145.40\n",
+ "29 146.60\n",
+ "30 147.55\n",
+ "31 149.10\n",
+ "Name: Longitude_for_mapping, dtype: object\n",
+ "Lats: 1 16.00\n",
+ "2 16.30\n",
+ "3 16.62\n",
+ "4 17.00\n",
+ "5 17.54\n",
+ "6 18.48\n",
+ "7 19.36\n",
+ "8 20.14\n",
+ "9 21.31\n",
+ "10 22.85\n",
+ "11 24.38\n",
+ "12 25.53\n",
+ "13 26.80\n",
+ "14 27.85\n",
+ "15 29.30\n",
+ "16 30.35\n",
+ "17 31.48\n",
+ "18 33.10\n",
+ "19 34.30\n",
+ "20 35.82\n",
+ "21 37.78\n",
+ "22 39.00\n",
+ "23 40.78\n",
+ "24 41.80\n",
+ "25 42.30\n",
+ "26 44.29\n",
+ "27 47.80\n",
+ "28 51.50\n",
+ "29 54.60\n",
+ "30 57.95\n",
+ "31 60.60\n",
+ "Name: Latitude_for_mapping, dtype: object\n",
+ "x:[15317561.933154443, 15362089.729471754, 15417749.474868391, 15495673.118423682, 15551332.863820318, 15638162.066639071, 15748368.362524413, 15830744.785711437, 15939837.886688843, 16026667.089507597, 16080100.445088368, 16116835.877050148, 16127967.826129476, 16074534.470548706, 16013308.750612404, 15901989.259819129, 15831857.980619369, 15735010.02362922, 15699387.786575373, 15719425.294918163, 15770632.260683067, 15829631.590803502, 15878612.166752541, 15918687.183438122, 15929819.13251745, 15932045.522333315, 16096798.368707359, 16185853.961341979, 16319437.350293906, 16425190.866547517, 16597736.07727709]\n",
+ "y:[1804722.7662572919, 1839490.7129754247, 1876635.2708027712, 1920825.0403774658, 1983775.8831667961, 2093808.9645736774, 2197366.2759277369, 2289623.244645027, 2428881.3952632579, 2613888.7260485394, 2799781.6049381741, 2940984.9209394683, 3098506.5361034139, 3230075.3502489896, 3413885.0059842309, 3548618.8828987493, 3695244.4378803917, 3908584.8254851638, 4069156.1828074576, 4275881.8322407082, 4548393.6389452666, 4721671.5725801066, 4979945.6705253869, 5131067.3356399573, 5206024.4612923535, 5510430.5802442208, 6073646.2233506292, 6710219.0832207408, 7284618.1015540026, 7956821.422420335, 8534550.0954532735]ID: 2016228N22117 Name: DIANMU Season: 2016\n",
+ "Longs: 1 117.05\n",
+ "2 116.30\n",
+ "3 115.40\n",
+ "4 114.70\n",
+ "5 113.95\n",
+ "6 113.55\n",
+ "7 113.30\n",
+ "8 113.15\n",
+ "9 112.98\n",
+ "10 112.81\n",
+ "11 112.35\n",
+ "12 111.74\n",
+ "13 110.75\n",
+ "14 109.47\n",
+ "15 108.50\n",
+ "16 107.60\n",
+ "17 106.43\n",
+ "18 105.02\n",
+ "19 102.99\n",
+ "20 101.17\n",
+ "Name: Longitude_for_mapping, dtype: object\n",
+ "Lats: 1 21.80\n",
+ "2 21.70\n",
+ "3 21.65\n",
+ "4 21.70\n",
+ "5 21.70\n",
+ "6 21.65\n",
+ "7 21.55\n",
+ "8 21.50\n",
+ "9 21.38\n",
+ "10 21.21\n",
+ "11 21.05\n",
+ "12 21.06\n",
+ "13 20.85\n",
+ "14 20.52\n",
+ "15 20.42\n",
+ "16 20.48\n",
+ "17 20.71\n",
+ "18 20.99\n",
+ "19 21.54\n",
+ "20 22.27\n",
+ "Name: Latitude_for_mapping, dtype: object\n",
+ "x:[13029946.397352673, 12946456.779257717, 12846269.237543771, 12768345.59398848, 12684855.975893525, 12640328.179576214, 12612498.306877896, 12595800.383258907, 12576876.069824049, 12557951.756389193, 12506744.790624287, 12438839.90124039, 12328633.605355049, 12186144.657139659, 12078164.751070183, 11977977.209356237, 11847733.405128108, 11690772.923109591, 11464794.356799245, 11262192.883555489]\n",
+ "y:[2487529.7151387953, 2475544.5337766968, 2469555.0666361679, 2475544.5337766968, 2475544.5337766968, 2469555.0666361679, 2457582.3494249135, 2451599.0873778537, 2437247.6372366897, 2416936.5318590454, 2397841.5532705351, 2399034.3865133785, 2374001.6514825919, 2334734.8824018738, 2322852.6319057727, 2329981.0530488198, 2357332.5881247683, 2390686.2347272313, 2456385.5322165769, 2543972.9772578641]ID: 2016230N12254 Name: KAY Season: 2016\n",
+ "Longs: 1 -106.50\n",
+ "2 -106.90\n",
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+ "31 -123.50\n",
+ "32 -124.50\n",
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+ "34 -126.60\n",
+ "35 -127.70\n",
+ "36 -128.70\n",
+ "37 -129.70\n",
+ "38 -130.70\n",
+ "Name: Longitude_for_mapping, dtype: object\n",
+ "Lats: 1 12.40\n",
+ "2 13.10\n",
+ "3 13.80\n",
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+ "28 23.20\n",
+ "29 23.50\n",
+ "30 23.70\n",
+ "31 23.80\n",
+ "32 23.90\n",
+ "33 23.90\n",
+ "34 23.80\n",
+ "35 23.80\n",
+ "36 23.70\n",
+ "37 23.60\n",
+ "38 23.50\n",
+ "Name: Latitude_for_mapping, dtype: object\n",
+ "x:[-11855525.769483637, -11900053.565800946, -11944581.362118255, -12000241.107514892, -12055900.852911528, -12111560.598308165, -12156088.394625476, -12211748.140022112, -12256275.936339421, -12311935.681736058, -12367595.427132694, -12412123.223450005, -12445519.070687987, -12478914.917925967, -12512310.765163951, -12545706.612401932, -12590234.408719242, -12657026.103195207, -12734949.746750498, -12801741.441226462, -12868533.135702426, -12935324.830178391, -13002116.524654353, -13080040.168209646, -13157963.811764937, -13247019.404399555, -13336074.997034175, -13425130.589668794, -13525318.131382739, -13636637.622176014, -13747957.112969287, -13859276.603762561, -13970596.094555834, -14093047.534428434, -14215498.974301036, -14326818.465094309, -14438137.955887582, -14549457.446680855]\n",
+ "y:[1391265.1621495972, 1471159.3451232612, 1551281.0038815641, 1643144.2622949211, 1735342.252565708, 1827895.5331194468, 1909187.5516940709, 1967437.5313950593, 2002463.7486873388, 2037548.5447506013, 2072693.0809751356, 2107898.5279782121, 2166712.8397487444, 2213892.1828597244, 2249353.1714308742, 2284881.0700673275, 2320477.1094807815, 2356142.5312251681, 2391878.5879443148, 2427686.5436241785, 2463567.6738498546, 2487529.7151387953, 2499523.266067402, 2499523.266067402, 2499523.266067402, 2523535.6699099964, 2583716.5456492887, 2656223.2399355415, 2692598.2193217874, 2716894.1810176135, 2729056.107633078, 2741227.3998925802, 2741227.3998925802, 2729056.107633078, 2729056.107633078, 2716894.1810176135, 2704741.5686532655, 2692598.2193217874]ID: 2016230N12328 Name: FIONA Season: 2016\n",
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+ "Name: Longitude_for_mapping, dtype: object\n",
+ "Lats: 1 12.00\n",
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+ "29 26.30\n",
+ "30 26.70\n",
+ "31 27.10\n",
+ "Name: Latitude_for_mapping, dtype: object\n",
+ "x:[-3584487.6035434096, -3740334.8906539925, -3873918.2796059204, -4007501.6685578488, -4152217.0065891044, -4285800.3955410328, -4385987.9372549793, -4463911.5808102703, -4541835.2243655622, -4619758.8679208532, -4708814.4605554724, -4797870.0531900916, -4886925.6458247099, -4998245.1366179837, -5131828.525569912, -5254279.9654425131, -5387863.3543944415, -5521446.7433463698, -5688425.97953628, -5855405.2157261902, -6033516.4009954287, -6222759.5353439935, -6412002.6696925582, -6578981.9058824684, -6734829.1929930514, -6868412.5819449807, -7001995.9708969081, -7124447.4107695092, -7224634.9524834557, -7324822.4941974012, -7425010.0359113477]\n",
+ "y:[1345708.408409107, 1391265.1621495972, 1448309.802150294, 1539820.6224079386, 1631643.4670073595, 1712260.2558615336, 1770006.9811914344, 1816306.2312880498, 1862698.8721506866, 1909187.5516940709, 1955774.9437035795, 2002463.7486873388, 2037548.5447506013, 2096156.5384662852, 2178496.8842412396, 2273030.926987689, 2368046.6396177849, 2451599.0873778537, 2523535.6699099964, 2583716.5456492887, 2644116.4340022062, 2716894.1810176135, 2777797.9871113901, 2814454.7323097689, 2875744.6243522423, 2912638.0910063866, 2949622.9843312614, 2986700.7776249819, 3036284.9233130249, 3086040.4513291898, 3135970.9925276837]\n",
+ "\n",
+ "\n"
+ ]
+ }
+ ],
+ "source": [
+ "test = Model(12800, 12805)\n",
+ "print(test)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/javascript": [
+ "(function(root) {\n",
+ " function embed_document(root) {\n",
+ " \n",
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+ " root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
+ "\n",
+ " }\n",
+ " if (root.Bokeh !== undefined) {\n",
+ " embed_document(root);\n",
+ " } else {\n",
+ " var attempts = 0;\n",
+ " var timer = setInterval(function(root) {\n",
+ " if (root.Bokeh !== undefined) {\n",
+ " embed_document(root);\n",
+ " clearInterval(timer);\n",
+ " }\n",
+ " attempts++;\n",
+ " if (attempts > 100) {\n",
+ " console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\")\n",
+ " clearInterval(timer);\n",
+ " }\n",
+ " }, 10, root)\n",
+ " }\n",
+ "})(window);"
+ ],
+ "application/vnd.bokehjs_exec.v0+json": ""
+ },
+ "metadata": {
+ "application/vnd.bokehjs_exec.v0+json": {
+ "id": "8449317b-1ad3-4c5b-8ad5-8e90cc5b4d1b"
+ }
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "USA = x_range,y_range = ((-13884029,-7453304), (2698291,6455972))\n",
+ "\n",
+ "p = figure(tools=['hover', 'pan', 'wheel_zoom'], x_range=x_range, y_range=y_range)\n",
+ "p.axis.visible = False\n",
+ "\n",
+ "url = 'http://a.basemaps.cartocdn.com/dark_all/{Z}/{X}/{Y}.png'\n",
+ "attribution = \"Tiles by Carto, under CC BY 3.0. Data by OSM, under ODbL\"\n",
+ "\n",
+ "p.add_tile(WMTSTileSource(url=url, attribution=attribution))\n",
+ "\n",
+ "colors = ['firebrick', 'whitesmoke','olive','teal', 'salmon']\n",
+ "counter = 0\n",
+ "\n",
+ "for k,v in test.hurricaneLst.items():\n",
+ " for elm in v:\n",
+ " \n",
+ " source = ColumnDataSource(data={\n",
+ " 'x': elm.x,\n",
+ " 'y': elm.y,\n",
+ " 'name': [elm.name for n in range(len(elm.x))],\n",
+ " 'season': [elm.season for n in range(len(elm.x))]\n",
+ " })\n",
+ "\n",
+ " p.line('x', 'y', source=source, color=colors[counter], line_width = 3) \n",
+ " circle = p.circle('x','y', source=source, fill_color=colors[counter], size=10)\n",
+ " \n",
+ " #to avoid some strange behavior, only add the circle glyph to the renders of hover tool\n",
+ " #so tooltip only takes effect on circle glyph\n",
+ " p.tools[0].renderers.append(circle) \n",
+ " counter += 1\n",
+ " \n",
+ "hover = p.select(dict(type=HoverTool))\n",
+ "hover.tooltips = [(\"Name\", \"@name\"),(\"Season\", \"@season\"),]\n",
+ "hover.mode = 'mouse'\n",
+ " \n",
+ "show(p)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Source ColumnDataSource(id='c0bb0e83-577e-4322-b5d1-a2b1a3feccb0', ...)\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/javascript": [
+ "(function(root) {\n",
+ " function embed_document(root) {\n",
+ " \n",
+ " var docs_json = {\"2d588fc8-4d72-4e1e-9070-77e78b28273d\":{\"roots\":{\"references\":[{\"attributes\":{\"children\":[{\"id\":\"6308517e-2edb-44a6-ad2f-8193f722ab72\",\"type\":\"Slider\"}]},\"id\":\"cd7823a9-de81-455f-b36c-3a0546440f0b\",\"type\":\"WidgetBox\"},{\"attributes\":{\"attribution\":\"Tiles by Carto, under CC BY 3.0. Data by OSM, under ODbL\",\"url\":\"http://a.basemaps.cartocdn.com/dark_all/{Z}/{X}/{Y}.png\"},\"id\":\"73348135-0367-4489-87f1-b9b4c8ad2ae1\",\"type\":\"WMTSTileSource\"},{\"attributes\":{\"line_alpha\":0.1,\"line_color\":\"#1f77b4\",\"line_width\":3,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"9a1dcb80-9438-4be0-8144-2311f6163f03\",\"type\":\"Line\"},{\"attributes\":{\"callback\":null,\"end\":6455972,\"start\":2698291},\"id\":\"93528fe3-0267-4394-a242-747124947e0e\",\"type\":\"Range1d\"},{\"attributes\":{},\"id\":\"0a7f645d-48cb-4117-92e1-474509444c50\",\"type\":\"LinearScale\"},{\"attributes\":{\"children\":[{\"id\":\"cd7823a9-de81-455f-b36c-3a0546440f0b\",\"type\":\"WidgetBox\"},{\"id\":\"19908c9b-c2a7-4753-bd48-89daf6b97545\",\"subtype\":\"Figure\",\"type\":\"Plot\"}]},\"id\":\"2e87b8d1-2a82-409f-a838-94b217c2d238\",\"type\":\"Column\"},{\"attributes\":{},\"id\":\"260b06dc-dd6e-4920-9141-a6d3786e06b7\",\"type\":\"LinearScale\"},{\"attributes\":{\"plot\":{\"id\":\"19908c9b-c2a7-4753-bd48-89daf6b97545\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"a2f49ba3-da0d-470f-aa66-4020a4d1b249\",\"type\":\"BasicTicker\"}},\"id\":\"be977259-c6d7-4edb-85f6-f0b3f2a069a1\",\"type\":\"Grid\"},{\"attributes\":{\"formatter\":{\"id\":\"2ade6511-ce1b-487a-9f94-9b936d6215f1\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"19908c9b-c2a7-4753-bd48-89daf6b97545\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"a2f49ba3-da0d-470f-aa66-4020a4d1b249\",\"type\":\"BasicTicker\"},\"visible\":false},\"id\":\"b03e77f8-aa05-43e2-ac2a-9aa31864e658\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"a2f49ba3-da0d-470f-aa66-4020a4d1b249\",\"type\":\"BasicTicker\"},{\"attributes\":{\"formatter\":{\"id\":\"225af134-d4c8-409c-8749-6355264989ce\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"19908c9b-c2a7-4753-bd48-89daf6b97545\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"b2a42671-f4b7-46ff-9665-6b2b03b1b2af\",\"type\":\"BasicTicker\"},\"visible\":false},\"id\":\"d91b3c0b-e016-4b0f-a43b-240a5bd1c401\",\"type\":\"LinearAxis\"},{\"attributes\":{},\"id\":\"b2a42671-f4b7-46ff-9665-6b2b03b1b2af\",\"type\":\"BasicTicker\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"19908c9b-c2a7-4753-bd48-89daf6b97545\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"b2a42671-f4b7-46ff-9665-6b2b03b1b2af\",\"type\":\"BasicTicker\"}},\"id\":\"8bf79c5d-fd21-4051-8451-0e1609e33a39\",\"type\":\"Grid\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"x\",\"y\",\"name\",\"season\",\"color\"],\"data\":{\"color\":[\"whitesmoke\",\"whitesmoke\",\"whitesmoke\",\"whitesmoke\",\"whitesmoke\",\"whitesmoke\",\"whitesmoke\",\"whitesmoke\",\"whitesmoke\",\"whitesmoke\",\"whitesmoke\",\"whitesmoke\",\"whitesmoke\",\"whitesmoke\",\"whitesmoke\",\"whitesmoke\",\"whitesmoke\",\"whitesmoke\"],\"name\":[\"NOT NAMED\",\"NOT NAMED\",\"NOT NAMED\",\"NOT NAMED\",\"NOT NAMED\",\"NOT NAMED\",\"NOT NAMED\",\"NOT NAMED\",\"NOT NAMED\",\"NOT NAMED\",\"NOT NAMED\",\"NOT NAMED\",\"NOT NAMED\",\"NOT NAMED\",\"NOT NAMED\",\"NOT NAMED\",\"NOT NAMED\",\"NOT NAMED\"],\"season\":[\"2016\",\"2016\",\"2016\",\"2016\",\"2016\",\"2016\",\"2016\",\"2016\",\"2016\",\"2016\",\"2016\",\"2016\",\"2016\",\"2016\",\"2016\",\"2016\",\"2016\",\"2016\"],\"x\":[9851774.935204713,9851774.935204713,9907434.68060135,9985358.32415664,9951962.476918658,9940830.527839331,9918566.629680675,9851774.935204713,9773851.29164942,9729323.49533211,9684795.699014802,9629135.953618165,9540080.360983547,9462156.717428254,9406496.972031618,9406496.972031618,9406496.972031618,9350837.226634981],\"y\":[2511525.234845713,2511525.234845713,2571663.047173645,2607849.8726871307,2632018.637586423,2644116.434002206,2680464.0819783327,2704741.5686532655,2729056.107633078,2753408.109364979,2753408.109364979,2753408.109364979,2753408.109364979,2753408.109364979,2753408.109364979,2753408.109364979,2777797.98711139,2802226.156991253]}},\"id\":\"e3dfea54-19ae-412e-aacb-84036ef12517\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"225af134-d4c8-409c-8749-6355264989ce\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"callback\":null,\"renderers\":[{\"id\":\"f768d4eb-7647-478d-9484-dec6562af5d1\",\"type\":\"GlyphRenderer\"},{\"id\":\"3f37ff9e-2174-4c34-8e62-708ca9313510\",\"type\":\"GlyphRenderer\"},{\"id\":\"68cfbefb-83b2-4ee4-97bd-cdcaf27d8b98\",\"type\":\"GlyphRenderer\"},{\"id\":\"fe1e8c7a-5a12-4d34-bf74-7ce68bdaa780\",\"type\":\"GlyphRenderer\"},{\"id\":\"180bb799-eba1-4e89-b447-b9591a805c33\",\"type\":\"GlyphRenderer\"}],\"tooltips\":[[\"Name\",\"@name\"],[\"Season\",\"@season\"]]},\"id\":\"24d0b4a2-aa37-44db-9149-4ee3ce83e219\",\"type\":\"HoverTool\"},{\"attributes\":{\"line_color\":\"whitesmoke\",\"line_width\":3,\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"bb6c8151-f6cd-4718-b671-4720209a6c01\",\"type\":\"Line\"},{\"attributes\":{},\"id\":\"a939bd76-a8e5-4ae4-bf7e-8300ca22dcb3\",\"type\":\"PanTool\"},{\"attributes\":{},\"id\":\"ece6b6cf-459f-4544-ab92-ef3c82ef39e0\",\"type\":\"WheelZoomTool\"},{\"attributes\":{\"callback\":{\"id\":\"d7402c94-324a-4056-9ad3-613b5ea0abce\",\"type\":\"CustomJS\"},\"end\":2017,\"start\":1842,\"title\":\"Season\",\"value\":2016},\"id\":\"6308517e-2edb-44a6-ad2f-8193f722ab72\",\"type\":\"Slider\"},{\"attributes\":{\"tile_source\":{\"id\":\"73348135-0367-4489-87f1-b9b4c8ad2ae1\",\"type\":\"WMTSTileSource\"}},\"id\":\"276307c0-352a-436b-8df2-479c70f3aa9d\",\"type\":\"TileRenderer\"},{\"attributes\":{\"args\":{\"ref\":{\"id\":\"6308517e-2edb-44a6-ad2f-8193f722ab72\",\"type\":\"Slider\"},\"source\":{\"id\":\"c0bb0e83-577e-4322-b5d1-a2b1a3feccb0\",\"type\":\"ColumnDataSource\"}},\"code\":\"\\n var data = source.data;\\n var ref = ref.value\\n var seas = data['season']\\n var x = data['x']\\n var color = data['color']\\n for(i=0; i 100) {\n",
+ " console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\")\n",
+ " clearInterval(timer);\n",
+ " }\n",
+ " }, 10, root)\n",
+ " }\n",
+ "})(window);"
+ ],
+ "application/vnd.bokehjs_exec.v0+json": ""
+ },
+ "metadata": {
+ "application/vnd.bokehjs_exec.v0+json": {
+ "id": "2e87b8d1-2a82-409f-a838-94b217c2d238"
+ }
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "from bokeh.layouts import widgetbox\n",
+ "from bokeh.layouts import layout\n",
+ "from bokeh.models import CustomJS, Slider\n",
+ "\n",
+ "USA = x_range,y_range = ((-13884029,-7453304), (2698291,6455972))\n",
+ "\n",
+ "p = figure(tools=['hover', 'pan', 'wheel_zoom'], x_range=x_range, y_range=y_range)\n",
+ "p.axis.visible = False\n",
+ "\n",
+ "url = 'http://a.basemaps.cartocdn.com/dark_all/{Z}/{X}/{Y}.png'\n",
+ "attribution = \"Tiles by Carto, under CC BY 3.0. Data by OSM, under ODbL\"\n",
+ "\n",
+ "p.add_tile(WMTSTileSource(url=url, attribution=attribution))\n",
+ "\n",
+ "colors = ['firebrick', 'whitesmoke','olive','teal', 'salmon']\n",
+ "counter = 0\n",
+ "sources = []\n",
+ "\n",
+ "for k,v in test.hurricaneLst.items():\n",
+ " for elm in v:\n",
+ " \n",
+ " source = ColumnDataSource(data={\n",
+ " 'x': elm.x,\n",
+ " 'y': elm.y,\n",
+ " 'name': [elm.name for n in range(len(elm.x))],\n",
+ " 'season': [elm.season for n in range(len(elm.x))],\n",
+ " 'color': ['whitesmoke' for n in range(len(elm.x))] \n",
+ " })\n",
+ " \n",
+ " sources.append(source)\n",
+ " \n",
+ "# print(type(source.data['color'][0]))\n",
+ " \n",
+ " p.line('x', 'y', source=source, color=source.data['color'][0], line_width = 3) \n",
+ " circle = p.circle('x','y', source=source, fill_color=source.data['color'][0], size=10)\n",
+ " \n",
+ " p.tools[0].renderers.append(circle) \n",
+ " counter += 1\n",
+ " \n",
+ "\n",
+ "# def callbacks():\n",
+ "callback = CustomJS(args=dict(source=source), code=\"\"\"\n",
+ " var data = source.data;\n",
+ " var ref = ref.value\n",
+ " var seas = data['season']\n",
+ " var x = data['x']\n",
+ " var color = data['color']\n",
+ " for(i=0; i\n",
+ "
\n",
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/javascript": [
+ "(function(root) {\n",
+ " function embed_document(root) {\n",
+ " \n",
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\":\"Plot\"},\"ticker\":{\"id\":\"b30ab5c4-c258-4179-9a9e-1d24ada5c84f\",\"type\":\"BasicTicker\"},\"visible\":false},\"id\":\"77060947-be71-4326-922e-2fb877c7f0fa\",\"type\":\"LinearAxis\"},{\"attributes\":{\"plot\":{\"id\":\"71eddcf7-8ccf-47a3-a3f8-273cd457b15b\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"fbef1464-2f46-418c-bbfb-d5794bfa043e\",\"type\":\"BasicTicker\"}},\"id\":\"02f273da-43db-4f47-bb81-4990587bdf57\",\"type\":\"Grid\"},{\"attributes\":{\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"line_width\":{\"value\":3},\"xs\":{\"field\":\"xs\"},\"ys\":{\"field\":\"ys\"}},\"id\":\"28cfeff1-4eaf-4b37-91b9-d68eecfeda9e\",\"type\":\"MultiLine\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":10},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"b4b2f97c-e3d3-4b4b-a2a2-b713e3edede0\",\"type\":\"Circle\"},{\"attributes\":{},\"id\":\"935a4202-6bb7-4c83-8edd-ae21156e58f5\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"callback\":null,\"end\":6455972,\"start\":2698291},\"id\":\"7f7bbf93-7270-48d9-8888-713b01f50869\",\"type\":\"Range1d\"},{\"attributes\":{},\"id\":\"fbef1464-2f46-418c-bbfb-d5794bfa043e\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"5ba2bace-190d-4faf-9efa-20f761c30477\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"b30ab5c4-c258-4179-9a9e-1d24ada5c84f\",\"type\":\"BasicTicker\"},{\"attributes\":{\"data_source\":{\"id\":\"a1d29456-8e29-4626-901b-e52abb7ae983\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"50f8ea6d-6601-4421-9b0d-6bbc3d795d8c\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"b4b2f97c-e3d3-4b4b-a2a2-b713e3edede0\",\"type\":\"Circle\"},\"selection_glyph\":null,\"view\":{\"id\":\"30dedd66-6945-4776-a2ba-dce4b6415a8c\",\"type\":\"CDSView\"}},\"id\":\"74c384d2-d6ec-4e9e-b384-71b426476262\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"1f91b254-2a06-4273-8e40-f54a3a8d862d\",\"type\":\"LinearScale\"},{\"attributes\":{\"fill_color\":{\"field\":\"color\"},\"line_color\":{\"field\":\"color\"},\"size\":{\"units\":\"screen\",\"value\":10},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"50f8ea6d-6601-4421-9b0d-6bbc3d795d8c\",\"type\":\"Circle\"},{\"attributes\":{\"callback\":null,\"renderers\":[{\"id\":\"74c384d2-d6ec-4e9e-b384-71b426476262\",\"type\":\"GlyphRenderer\"}],\"tooltips\":[[\"Name\",\"@name\"],[\"Season\",\"@season\"]]},\"id\":\"73ffb4a7-8a70-49cd-bfd6-3c23362ed33a\",\"type\":\"HoverTool\"},{\"attributes\":{\"args\":{\"ref\":{\"id\":\"18732028-e782-4060-9d77-cc5ed1267a60\",\"type\":\"Slider\"},\"source\":{\"id\":\"a1d29456-8e29-4626-901b-e52abb7ae983\",\"type\":\"ColumnDataSource\"}},\"code\":\"\\n function changeColor(color){\\n color[0] = \\\"firebrick\\\"\\n }\\n var data = source.data;\\n var ref = ref.value\\n var seas = data['season']\\n var x = data['x']\\n var y = data['y']\\n var color = data['color'] \\n var line_color = data['line_color'] \\n line_color = \\\"firebrick\\\"\\n changeColor(color)\\n color[0] = \\\"firebrick\\\"\\n color[1] = \\\"firebrick\\\"\\n color[2] = \\\"firebrick\\\"\\n console.log(color[0])\\n for(i=0; i 100) {\n",
+ " console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\")\n",
+ " clearInterval(timer);\n",
+ " }\n",
+ " }, 10, root)\n",
+ " }\n",
+ "})(window);"
+ ],
+ "application/vnd.bokehjs_exec.v0+json": ""
+ },
+ "metadata": {
+ "application/vnd.bokehjs_exec.v0+json": {
+ "id": "f490dc1e-a918-48c4-98a3-84deebd6e6ea"
+ }
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "from bokeh.layouts import widgetbox\n",
+ "from bokeh.layouts import layout\n",
+ "from bokeh.models import CustomJS, Slider\n",
+ "from bokeh.models import ColumnDataSource\n",
+ "from bokeh.plotting import figure, show\n",
+ "\n",
+ "USA = x_range,y_range = ((-13884029,-7453304), (2698291,6455972))\n",
+ "\n",
+ "p = figure(tools=['hover', 'pan', 'wheel_zoom'], x_range=x_range, y_range=y_range)\n",
+ "p.axis.visible = False\n",
+ "\n",
+ "url = 'http://a.basemaps.cartocdn.com/dark_all/{Z}/{X}/{Y}.png'\n",
+ "attribution = \"Tiles by Carto, under CC BY 3.0. Data by OSM, under ODbL\"\n",
+ "\n",
+ "p.add_tile(WMTSTileSource(url=url, attribution=attribution))\n",
+ "\n",
+ "sources = []\n",
+ "elms = []\n",
+ "\n",
+ "for k,v in test.hurricaneLst.items():\n",
+ " for elm in v:\n",
+ " elms.append(elm)\n",
+ " \n",
+ "source = ColumnDataSource(data=dict(\n",
+ " x=elms[3].x,\n",
+ " y=elms[3].y,\n",
+ " xs=[elms[3].x for n in range(len(elms[3].x))],\n",
+ " ys=[elms[3].y for n in range(len(elms[3].y))],\n",
+ " name=[elms[3].name for n in range(len(elms[3].x))],\n",
+ " season= [elms[3].season for n in range(len(elms[3].x))],\n",
+ "# color=[\"whitesmoke\", \"orange\", \"olive\", \"firebrick\", \"gold\"]\n",
+ " color= ['whitesmoke' for n in range(len(elms[3].x))],\n",
+ "\n",
+ " ))\n",
+ "\n",
+ "# source = ColumnDataSource(data=dict(x=elms[0].x, y=elms[0].y, color=['whitesmoke'], name=[elms[0].name], season=[elms[0].season]))\n",
+ "\n",
+ "sources.append(source)\n",
+ "\n",
+ "# print(type(source.data['color'][0]), source.data['color'][0])\n",
+ "\n",
+ "p.multi_line('xs', 'ys', source=source, color='color', line_width = 3) \n",
+ "# p.segment('x',elm.y[0:len(elm.y)-1],elm.x[1:],elm.y[1:], color=colors[counter], line_width = 3)\n",
+ "circle = p.circle('x','y', source=source, color='color', size=10)\n",
+ "\n",
+ "p.tools[0].renderers.append(circle) \n",
+ " \n",
+ "\n",
+ "# def callbacks():\n",
+ "callback = CustomJS(args=dict(source=source), code=\"\"\"\n",
+ " function changeColor(color){\n",
+ " color[0] = \"firebrick\"\n",
+ " }\n",
+ " var data = source.data;\n",
+ " var ref = ref.value\n",
+ " var seas = data['season']\n",
+ " var x = data['x']\n",
+ " var y = data['y']\n",
+ " var color = data['color'] \n",
+ " var line_color = data['line_color'] \n",
+ " line_color = \"firebrick\"\n",
+ " changeColor(color)\n",
+ " color[0] = \"firebrick\"\n",
+ " color[1] = \"firebrick\"\n",
+ " color[2] = \"firebrick\"\n",
+ " console.log(color[0])\n",
+ " for(i=0; i\n",
+ "
\n",
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/javascript": [
+ "(function(root) {\n",
+ " function embed_document(root) {\n",
+ " \n",
+ " var docs_json = {\"63d9eb5b-ddf0-4070-9595-b7d576efdfa2\":{\"roots\":{\"references\":[{\"attributes\":{},\"id\":\"f03ee3fd-1c4b-4e5f-8f73-9116560ff166\",\"type\":\"BasicTicker\"},{\"attributes\":{\"plot\":{\"id\":\"983e6af7-99b0-482e-bd03-a4be518c8e4a\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"dd06beb2-f66f-40a9-8ba3-bdbf4f9a0aa2\",\"type\":\"BasicTicker\"}},\"id\":\"df3e7873-d450-46bd-829c-2457f50d2151\",\"type\":\"Grid\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"983e6af7-99b0-482e-bd03-a4be518c8e4a\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"f03ee3fd-1c4b-4e5f-8f73-9116560ff166\",\"type\":\"BasicTicker\"}},\"id\":\"7b241c9f-477d-4a35-948c-b1eaa9d1edd1\",\"type\":\"Grid\"},{\"attributes\":{\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"line_width\":{\"value\":3},\"xs\":{\"field\":\"xs\"},\"ys\":{\"field\":\"ys\"}},\"id\":\"1c0976d9-96ee-4cc7-a8b9-8837f1ad2e5d\",\"type\":\"MultiLine\"},{\"attributes\":{\"line_color\":{\"field\":\"color\"},\"line_width\":{\"value\":3},\"xs\":{\"field\":\"xs\"},\"ys\":{\"field\":\"ys\"}},\"id\":\"32d3c3fb-27c4-4672-b163-6005196c31e9\",\"type\":\"MultiLine\"},{\"attributes\":{},\"id\":\"14a1a77c-bf73-42a7-a2f4-a3a83107480c\",\"type\":\"LinearScale\"},{\"attributes\":{\"callback\":null,\"renderers\":[{\"id\":\"3721fb4f-a6bf-48c9-9d37-0bf342a9ad4a\",\"type\":\"GlyphRenderer\"}],\"tooltips\":[[\"Name\",\"@name\"],[\"Season\",\"@season\"]]},\"id\":\"365c2d57-d484-402c-b9be-3062a42dcddd\",\"type\":\"HoverTool\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"365c2d57-d484-402c-b9be-3062a42dcddd\",\"type\":\"HoverTool\"},{\"id\":\"78f92ff8-36c3-4c56-b0fe-b92d3aaa3e27\",\"type\":\"PanTool\"},{\"id\":\"e140eac6-7a6a-4d52-bd4c-ec1fa7426085\",\"type\":\"WheelZoomTool\"}]},\"id\":\"be94c371-42e7-4a01-99e9-88fbf0551a28\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"e3924e3b-18b9-4438-a5fe-ca16383badd5\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{},\"id\":\"78f92ff8-36c3-4c56-b0fe-b92d3aaa3e27\",\"type\":\"PanTool\"},{\"attributes\":{},\"id\":\"e140eac6-7a6a-4d52-bd4c-ec1fa7426085\",\"type\":\"WheelZoomTool\"},{\"attributes\":{\"tile_source\":{\"id\":\"3bb5acb4-c18c-49ec-adf8-4cadede4ee2e\",\"type\":\"WMTSTileSource\"}},\"id\":\"9d0500ab-6f52-4b6d-a050-b04d429582eb\",\"type\":\"TileRenderer\"},{\"attributes\":{\"data_source\":{\"id\":\"a26eb661-c8ca-43fa-b1f1-1922abab3941\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"32d3c3fb-27c4-4672-b163-6005196c31e9\",\"type\":\"MultiLine\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"1c0976d9-96ee-4cc7-a8b9-8837f1ad2e5d\",\"type\":\"MultiLine\"},\"selection_glyph\":null,\"view\":{\"id\":\"c1c3e5e5-c484-4f78-9a7b-20bcc16ade88\",\"type\":\"CDSView\"}},\"id\":\"e8f800e2-3e80-43cc-81f7-789bba32acab\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"source\":{\"id\":\"a26eb661-c8ca-43fa-b1f1-1922abab3941\",\"type\":\"ColumnDataSource\"}},\"id\":\"c1c3e5e5-c484-4f78-9a7b-20bcc16ade88\",\"type\":\"CDSView\"},{\"attributes\":{},\"id\":\"aa94a4a5-0460-4739-a24b-311b83155d8f\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"plot\":null,\"text\":\"\"},\"id\":\"e3dac164-3473-4cdc-88b0-8e58fc35ad03\",\"type\":\"Title\"},{\"attributes\":{\"children\":[{\"id\":\"ed635708-1a21-4b1e-aca6-20a56fbe4494\",\"type\":\"Slider\"}]},\"id\":\"f7f27ca0-3dcc-40d8-8087-be7253ea1345\",\"type\":\"WidgetBox\"},{\"attributes\":{\"below\":[{\"id\":\"24cd5fa0-c887-466d-a78e-e9c231a68ba2\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"b09878b9-4bdf-4f83-8467-614ea1391153\",\"type\":\"LinearAxis\"}],\"renderers\":[{\"id\":\"24cd5fa0-c887-466d-a78e-e9c231a68ba2\",\"type\":\"LinearAxis\"},{\"id\":\"df3e7873-d450-46bd-829c-2457f50d2151\",\"type\":\"Grid\"},{\"id\":\"b09878b9-4bdf-4f83-8467-614ea1391153\",\"type\":\"LinearAxis\"},{\"id\":\"7b241c9f-477d-4a35-948c-b1eaa9d1edd1\",\"type\":\"Grid\"},{\"id\":\"9d0500ab-6f52-4b6d-a050-b04d429582eb\",\"type\":\"TileRenderer\"},{\"id\":\"e8f800e2-3e80-43cc-81f7-789bba32acab\",\"type\":\"GlyphRenderer\"},{\"id\":\"3721fb4f-a6bf-48c9-9d37-0bf342a9ad4a\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"e3dac164-3473-4cdc-88b0-8e58fc35ad03\",\"type\":\"Title\"},\"toolbar\":{\"id\":\"be94c371-42e7-4a01-99e9-88fbf0551a28\",\"type\":\"Toolbar\"},\"x_range\":{\"id\":\"9d5be482-41d4-4e8c-b17e-641fec5c887e\",\"type\":\"Range1d\"},\"x_scale\":{\"id\":\"3ba201c6-4d28-41de-8486-4d0a47b6d254\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"9a014101-b816-4708-9d1f-dfb2ddc69115\",\"type\":\"Range1d\"},\"y_scale\":{\"id\":\"14a1a77c-bf73-42a7-a2f4-a3a83107480c\",\"type\":\"LinearScale\"}},\"id\":\"983e6af7-99b0-482e-bd03-a4be518c8e4a\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"source\":{\"id\":\"a26eb661-c8ca-43fa-b1f1-1922abab3941\",\"type\":\"ColumnDataSource\"}},\"id\":\"8da49291-7983-4cc8-9072-b750e40b2a83\",\"type\":\"CDSView\"},{\"attributes\":{\"data_source\":{\"id\":\"a26eb661-c8ca-43fa-b1f1-1922abab3941\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"607c19b5-5415-45c9-8679-ecda39175b88\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"d54afa77-e5a6-45cd-ae77-e0dfd6823a4a\",\"type\":\"Circle\"},\"selection_glyph\":null,\"view\":{\"id\":\"8da49291-7983-4cc8-9072-b750e40b2a83\",\"type\":\"CDSView\"}},\"id\":\"3721fb4f-a6bf-48c9-9d37-0bf342a9ad4a\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"args\":{\"ref\":{\"id\":\"ed635708-1a21-4b1e-aca6-20a56fbe4494\",\"type\":\"Slider\"},\"source\":{\"id\":\"a26eb661-c8ca-43fa-b1f1-1922abab3941\",\"type\":\"ColumnDataSource\"}},\"code\":\"\\n var data = source.data;\\n var ref = ref.value.toString()\\n var seas = data['season']\\n var color = data['color'] \\n for(i=0; i 100) {\n",
+ " console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\")\n",
+ " clearInterval(timer);\n",
+ " }\n",
+ " }, 10, root)\n",
+ " }\n",
+ "})(window);"
+ ],
+ "application/vnd.bokehjs_exec.v0+json": ""
+ },
+ "metadata": {
+ "application/vnd.bokehjs_exec.v0+json": {
+ "id": "5b01ff85-6ce6-406b-980a-c963674ccd44"
+ }
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "from bokeh.layouts import widgetbox\n",
+ "from bokeh.layouts import layout\n",
+ "from bokeh.models import CustomJS, Slider\n",
+ "from bokeh.models import ColumnDataSource\n",
+ "from bokeh.plotting import figure, show\n",
+ "from bokeh.models.widgets import TextInput\n",
+ "\n",
+ "USA = x_range,y_range = ((-13884029,-7453304), (2698291,6455972))\n",
+ "\n",
+ "p = figure(tools=['hover', 'pan', 'wheel_zoom'], x_range=x_range, y_range=y_range)\n",
+ "p.axis.visible = False\n",
+ "\n",
+ "url = 'http://a.basemaps.cartocdn.com/dark_all/{Z}/{X}/{Y}.png'\n",
+ "attribution = \"Tiles by Carto, under CC BY 3.0. Data by OSM, under ODbL\"\n",
+ "\n",
+ "p.add_tile(WMTSTileSource(url=url, attribution=attribution))\n",
+ "\n",
+ "sources = []\n",
+ "elms = []\n",
+ "xs_array = []\n",
+ "ys_array = []\n",
+ "x_array = []\n",
+ "y_array = []\n",
+ "name_array =[]\n",
+ "season_array = []\n",
+ "\n",
+ "\n",
+ "for k,v in test.hurricaneLst.items():\n",
+ " for elm in v:\n",
+ " elms.append(elm)\n",
+ " for tempx in elm.x:\n",
+ " xs_array.append(elm.x)\n",
+ " x_array.append(tempx)\n",
+ " name_array.append(elm.name)\n",
+ " ys_array.append(elm.y)\n",
+ " season_array.append(elm.season)\n",
+ " for tempy in elm.y:\n",
+ " y_array.append(tempy)\n",
+ " \n",
+ " \n",
+ "\n",
+ "source = ColumnDataSource(data=dict(\n",
+ "x=x_array,\n",
+ "y=y_array,\n",
+ "xs=xs_array,\n",
+ "ys=ys_array,\n",
+ "name=name_array,\n",
+ "season= season_array,\n",
+ "color= ['whitesmoke' for n in range(len(x_array))]\n",
+ "\n",
+ "))\n",
+ "\n",
+ "# source = ColumnDataSource(data=dict(x=elms[0].x, y=elms[0].y, color=['whitesmoke'], name=[elms[0].name], season=[elms[0].season]))\n",
+ "\n",
+ "sources.append(source)\n",
+ "\n",
+ "# print(type(source.data['color'][0]), source.data['color'][0])\n",
+ "\n",
+ "p.multi_line('xs', 'ys', source=source, color='color', line_width = 3) \n",
+ "# p.segment('x',elm.y[0:len(elm.y)-1],elm.x[1:],elm.y[1:], color=colors[counter], line_width = 3)\n",
+ "circle = p.circle('x','y', source=source, color='color', size=10)\n",
+ "\n",
+ "p.tools[0].renderers.append(circle) \n",
+ " \n",
+ "\n",
+ "# def callbacks():\n",
+ "callback = CustomJS(args=dict(source=source), code=\"\"\"\n",
+ " var data = source.data;\n",
+ " var ref = ref.value.toString()\n",
+ " var seas = data['season']\n",
+ " var color = data['color'] \n",
+ " for(i=0; i\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 16\u001b[0m '''\n\u001b[1;32m 17\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 18\u001b[0;31m \u001b[0mcallback1\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mCustomJS\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfrom_coffeescript\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcode\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcode\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0margs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m{\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 19\u001b[0m \u001b[0mtoggle1\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mToggle\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlabel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"Green Box\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbutton_type\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"success\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcallback\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcallback1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 20\u001b[0m \u001b[0mcallback1\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0margs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;34m'toggle'\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mtoggle1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'object'\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mbox\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+ "\u001b[0;32m~/anaconda3/lib/python3.6/site-packages/bokeh/models/callbacks.py\u001b[0m in \u001b[0;36mfrom_coffeescript\u001b[0;34m(cls, code, args)\u001b[0m\n\u001b[1;32m 60\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 61\u001b[0m '''\n\u001b[0;32m---> 62\u001b[0;31m \u001b[0mcompiled\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnodejs_compile\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcode\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlang\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"coffeescript\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfile\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"???\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 63\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;34m\"error\"\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mcompiled\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 64\u001b[0m \u001b[0;32mraise\u001b[0m \u001b[0mCompilationError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcompiled\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0merror\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+ "\u001b[0;32m~/anaconda3/lib/python3.6/site-packages/bokeh/util/compiler.py\u001b[0m in \u001b[0;36mnodejs_compile\u001b[0;34m(code, lang, file)\u001b[0m\n\u001b[1;32m 188\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0mnodejs_compile\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcode\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlang\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m\"javascript\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfile\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 189\u001b[0m \u001b[0mcompilejs_script\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mjoin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbokehjs_dir\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"js\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"compiler.js\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 190\u001b[0;31m \u001b[0moutput\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_run_nodejs\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mcompilejs_script\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcode\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcode\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlang\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlang\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfile\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mfile\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 191\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mAttrDict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mjson\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mloads\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0moutput\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 192\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+ "\u001b[0;32m~/anaconda3/lib/python3.6/site-packages/bokeh/util/compiler.py\u001b[0m in \u001b[0;36m_run_nodejs\u001b[0;34m(argv, input)\u001b[0m\n\u001b[1;32m 167\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 168\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m_run_nodejs\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0margv\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minput\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 169\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0m_run\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0m_nodejs_path\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0margv\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minput\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 170\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 171\u001b[0m \u001b[0;32mdef\u001b[0m \u001b[0m_run_npmjs\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0margv\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minput\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+ "\u001b[0;32m~/anaconda3/lib/python3.6/site-packages/bokeh/util/compiler.py\u001b[0m in \u001b[0;36m_nodejs_path\u001b[0;34m()\u001b[0m\n\u001b[1;32m 148\u001b[0m \u001b[0;32mglobal\u001b[0m \u001b[0m_nodejs\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 149\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0m_nodejs\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 150\u001b[0;31m \u001b[0m_nodejs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_detect_nodejs\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 151\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0m_nodejs\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 152\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
+ "\u001b[0;32m~/anaconda3/lib/python3.6/site-packages/bokeh/util/compiler.py\u001b[0m in \u001b[0;36m_detect_nodejs\u001b[0;34m()\u001b[0m\n\u001b[1;32m 140\u001b[0m \u001b[0mversion\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m\".\"\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mjoin\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmap\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstr\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnodejs_min_version\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 141\u001b[0m raise RuntimeError('node.js v%s or higher is needed to allow compilation of custom models ' % version +\n\u001b[0;32m--> 142\u001b[0;31m '(\"conda install -c bokeh nodejs\" or follow https://nodejs.org/en/download/)')\n\u001b[0m\u001b[1;32m 143\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 144\u001b[0m \u001b[0m_nodejs\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
+ "\u001b[0;31mRuntimeError\u001b[0m: node.js v6.10.0 or higher is needed to allow compilation of custom models (\"conda install -c bokeh nodejs\" or follow https://nodejs.org/en/download/)"
+ ]
+ }
+ ],
+ "source": []
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "collapsed": true
+ },
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.6.3"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/Bokeh Archive/openurl.html b/Bokeh Archive/openurl.html
new file mode 100644
index 00000000..d6a676dc
--- /dev/null
+++ b/Bokeh Archive/openurl.html
@@ -0,0 +1,62 @@
+
+
+
+
+
+ Bokeh Plot
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
\ No newline at end of file
diff --git a/Bokeh Archive/slider.html b/Bokeh Archive/slider.html
new file mode 100644
index 00000000..2f29ccd6
--- /dev/null
+++ b/Bokeh Archive/slider.html
@@ -0,0 +1,62 @@
+
+
+
+
+
+ Bokeh Plot
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
\ No newline at end of file
diff --git a/Bokeh Archive/styling_visible_property.html b/Bokeh Archive/styling_visible_property.html
new file mode 100644
index 00000000..bb1f77b2
--- /dev/null
+++ b/Bokeh Archive/styling_visible_property.html
@@ -0,0 +1,69 @@
+
+
+
+
+
+ Bokeh Plot
+
+
+
+
+
+
+
+
+
+
+
+
+
+
\ No newline at end of file
diff --git a/Bokeh Archive/test_invisible_hover1.ipynb b/Bokeh Archive/test_invisible_hover1.ipynb
new file mode 100644
index 00000000..1ecd654f
--- /dev/null
+++ b/Bokeh Archive/test_invisible_hover1.ipynb
@@ -0,0 +1,389 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ " \n",
+ "
\n",
+ "
Loading BokehJS ... \n",
+ "
"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/javascript": [
+ "\n",
+ "(function(root) {\n",
+ " function now() {\n",
+ " return new Date();\n",
+ " }\n",
+ "\n",
+ " var force = true;\n",
+ "\n",
+ " if (typeof (root._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n",
+ " root._bokeh_onload_callbacks = [];\n",
+ " root._bokeh_is_loading = undefined;\n",
+ " }\n",
+ "\n",
+ " var JS_MIME_TYPE = 'application/javascript';\n",
+ " var HTML_MIME_TYPE = 'text/html';\n",
+ " var EXEC_MIME_TYPE = 'application/vnd.bokehjs_exec.v0+json';\n",
+ " var CLASS_NAME = 'output_bokeh rendered_html';\n",
+ "\n",
+ " /**\n",
+ " * Render data to the DOM node\n",
+ " */\n",
+ " function render(props, node) {\n",
+ " var script = document.createElement(\"script\");\n",
+ " node.appendChild(script);\n",
+ " }\n",
+ "\n",
+ " /**\n",
+ " * Handle when an output is cleared or removed\n",
+ " */\n",
+ " function handleClearOutput(event, handle) {\n",
+ " var cell = handle.cell;\n",
+ "\n",
+ " var id = cell.output_area._bokeh_element_id;\n",
+ " var server_id = cell.output_area._bokeh_server_id;\n",
+ " // Clean up Bokeh references\n",
+ " if (id !== undefined) {\n",
+ " Bokeh.index[id].model.document.clear();\n",
+ " delete Bokeh.index[id];\n",
+ " }\n",
+ "\n",
+ " if (server_id !== undefined) {\n",
+ " // Clean up Bokeh references\n",
+ " var cmd = \"from bokeh.io.state import curstate; print(curstate().uuid_to_server['\" + server_id + \"'].get_sessions()[0].document.roots[0]._id)\";\n",
+ " cell.notebook.kernel.execute(cmd, {\n",
+ " iopub: {\n",
+ " output: function(msg) {\n",
+ " var element_id = msg.content.text.trim();\n",
+ " Bokeh.index[element_id].model.document.clear();\n",
+ " delete Bokeh.index[element_id];\n",
+ " }\n",
+ " }\n",
+ " });\n",
+ " // Destroy server and session\n",
+ " var cmd = \"import bokeh.io.notebook as ion; ion.destroy_server('\" + server_id + \"')\";\n",
+ " cell.notebook.kernel.execute(cmd);\n",
+ " }\n",
+ " }\n",
+ "\n",
+ " /**\n",
+ " * Handle when a new output is added\n",
+ " */\n",
+ " function handleAddOutput(event, handle) {\n",
+ " var output_area = handle.output_area;\n",
+ " var output = handle.output;\n",
+ "\n",
+ " // limit handleAddOutput to display_data with EXEC_MIME_TYPE content only\n",
+ " if ((output.output_type != \"display_data\") || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n",
+ " return\n",
+ " }\n",
+ "\n",
+ " var toinsert = output_area.element.find(`.${CLASS_NAME.split(' ')[0]}`);\n",
+ "\n",
+ " if (output.metadata[EXEC_MIME_TYPE][\"id\"] !== undefined) {\n",
+ " toinsert[0].firstChild.textContent = output.data[JS_MIME_TYPE];\n",
+ " // store reference to embed id on output_area\n",
+ " output_area._bokeh_element_id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n",
+ " }\n",
+ " if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n",
+ " var bk_div = document.createElement(\"div\");\n",
+ " bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n",
+ " var script_attrs = bk_div.children[0].attributes;\n",
+ " for (var i = 0; i < script_attrs.length; i++) {\n",
+ " toinsert[0].firstChild.setAttribute(script_attrs[i].name, script_attrs[i].value);\n",
+ " }\n",
+ " // store reference to server id on output_area\n",
+ " output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n",
+ " }\n",
+ " }\n",
+ "\n",
+ " function register_renderer(events, OutputArea) {\n",
+ "\n",
+ " function append_mime(data, metadata, element) {\n",
+ " // create a DOM node to render to\n",
+ " var toinsert = this.create_output_subarea(\n",
+ " metadata,\n",
+ " CLASS_NAME,\n",
+ " EXEC_MIME_TYPE\n",
+ " );\n",
+ " this.keyboard_manager.register_events(toinsert);\n",
+ " // Render to node\n",
+ " var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
+ " render(props, toinsert[0]);\n",
+ " element.append(toinsert);\n",
+ " return toinsert\n",
+ " }\n",
+ "\n",
+ " /* Handle when an output is cleared or removed */\n",
+ " events.on('clear_output.CodeCell', handleClearOutput);\n",
+ " events.on('delete.Cell', handleClearOutput);\n",
+ "\n",
+ " /* Handle when a new output is added */\n",
+ " events.on('output_added.OutputArea', handleAddOutput);\n",
+ "\n",
+ " /**\n",
+ " * Register the mime type and append_mime function with output_area\n",
+ " */\n",
+ " OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
+ " /* Is output safe? */\n",
+ " safe: true,\n",
+ " /* Index of renderer in `output_area.display_order` */\n",
+ " index: 0\n",
+ " });\n",
+ " }\n",
+ "\n",
+ " // register the mime type if in Jupyter Notebook environment and previously unregistered\n",
+ " if (root.Jupyter !== undefined) {\n",
+ " var events = require('base/js/events');\n",
+ " var OutputArea = require('notebook/js/outputarea').OutputArea;\n",
+ "\n",
+ " if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
+ " register_renderer(events, OutputArea);\n",
+ " }\n",
+ " }\n",
+ "\n",
+ " \n",
+ " if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n",
+ " root._bokeh_timeout = Date.now() + 5000;\n",
+ " root._bokeh_failed_load = false;\n",
+ " }\n",
+ "\n",
+ " var NB_LOAD_WARNING = {'data': {'text/html':\n",
+ " \"\\n\"+\n",
+ " \"
\\n\"+\n",
+ " \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
+ " \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
+ " \"
\\n\"+\n",
+ " \"
\\n\"+\n",
+ " \"re-rerun `output_notebook()` to attempt to load from CDN again, or \\n\"+\n",
+ " \"use INLINE resources instead, as so: \\n\"+\n",
+ " \" \\n\"+\n",
+ " \"
\\n\"+\n",
+ " \"from bokeh.resources import INLINE\\n\"+\n",
+ " \"output_notebook(resources=INLINE)\\n\"+\n",
+ " \"\\n\"+\n",
+ " \"
\"}};\n",
+ "\n",
+ " function display_loaded() {\n",
+ " var el = document.getElementById(\"d0afd5f9-0065-4df8-8a4b-675361d5ab27\");\n",
+ " if (el != null) {\n",
+ " el.textContent = \"BokehJS is loading...\";\n",
+ " }\n",
+ " if (root.Bokeh !== undefined) {\n",
+ " if (el != null) {\n",
+ " el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n",
+ " }\n",
+ " } else if (Date.now() < root._bokeh_timeout) {\n",
+ " setTimeout(display_loaded, 100)\n",
+ " }\n",
+ " }\n",
+ "\n",
+ "\n",
+ " function run_callbacks() {\n",
+ " try {\n",
+ " root._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
+ " }\n",
+ " finally {\n",
+ " delete root._bokeh_onload_callbacks\n",
+ " }\n",
+ " console.info(\"Bokeh: all callbacks have finished\");\n",
+ " }\n",
+ "\n",
+ " function load_libs(js_urls, callback) {\n",
+ " root._bokeh_onload_callbacks.push(callback);\n",
+ " if (root._bokeh_is_loading > 0) {\n",
+ " console.log(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
+ " return null;\n",
+ " }\n",
+ " if (js_urls == null || js_urls.length === 0) {\n",
+ " run_callbacks();\n",
+ " return null;\n",
+ " }\n",
+ " console.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
+ " root._bokeh_is_loading = js_urls.length;\n",
+ " for (var i = 0; i < js_urls.length; i++) {\n",
+ " var url = js_urls[i];\n",
+ " var s = document.createElement('script');\n",
+ " s.src = url;\n",
+ " s.async = false;\n",
+ " s.onreadystatechange = s.onload = function() {\n",
+ " root._bokeh_is_loading--;\n",
+ " if (root._bokeh_is_loading === 0) {\n",
+ " console.log(\"Bokeh: all BokehJS libraries loaded\");\n",
+ " run_callbacks()\n",
+ " }\n",
+ " };\n",
+ " s.onerror = function() {\n",
+ " console.warn(\"failed to load library \" + url);\n",
+ " };\n",
+ " console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
+ " document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
+ " }\n",
+ " };var element = document.getElementById(\"d0afd5f9-0065-4df8-8a4b-675361d5ab27\");\n",
+ " if (element == null) {\n",
+ " console.log(\"Bokeh: ERROR: autoload.js configured with elementid 'd0afd5f9-0065-4df8-8a4b-675361d5ab27' but no matching script tag was found. \")\n",
+ " return false;\n",
+ " }\n",
+ "\n",
+ " var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.10.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.10.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.10.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-gl-0.12.10.min.js\"];\n",
+ "\n",
+ " var inline_js = [\n",
+ " function(Bokeh) {\n",
+ " Bokeh.set_log_level(\"info\");\n",
+ " },\n",
+ " \n",
+ " function(Bokeh) {\n",
+ " \n",
+ " },\n",
+ " function(Bokeh) {\n",
+ " console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-0.12.10.min.css\");\n",
+ " Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.10.min.css\");\n",
+ " console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.10.min.css\");\n",
+ " Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.10.min.css\");\n",
+ " console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.10.min.css\");\n",
+ " Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.10.min.css\");\n",
+ " }\n",
+ " ];\n",
+ "\n",
+ " function run_inline_js() {\n",
+ " \n",
+ " if ((root.Bokeh !== undefined) || (force === true)) {\n",
+ " for (var i = 0; i < inline_js.length; i++) {\n",
+ " inline_js[i].call(root, root.Bokeh);\n",
+ " }if (force === true) {\n",
+ " display_loaded();\n",
+ " }} else if (Date.now() < root._bokeh_timeout) {\n",
+ " setTimeout(run_inline_js, 100);\n",
+ " } else if (!root._bokeh_failed_load) {\n",
+ " console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
+ " root._bokeh_failed_load = true;\n",
+ " } else if (force !== true) {\n",
+ " var cell = $(document.getElementById(\"d0afd5f9-0065-4df8-8a4b-675361d5ab27\")).parents('.cell').data().cell;\n",
+ " cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
+ " }\n",
+ "\n",
+ " }\n",
+ "\n",
+ " if (root._bokeh_is_loading === 0) {\n",
+ " console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
+ " run_inline_js();\n",
+ " } else {\n",
+ " load_libs(js_urls, function() {\n",
+ " console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
+ " run_inline_js();\n",
+ " });\n",
+ " }\n",
+ "}(window));"
+ ],
+ "application/vnd.bokehjs_load.v0+json": "\n(function(root) {\n function now() {\n return new Date();\n }\n\n var force = true;\n\n if (typeof (root._bokeh_onload_callbacks) === \"undefined\" || force === true) {\n root._bokeh_onload_callbacks = [];\n root._bokeh_is_loading = undefined;\n }\n\n \n\n \n if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n root._bokeh_timeout = Date.now() + 5000;\n root._bokeh_failed_load = false;\n }\n\n var NB_LOAD_WARNING = {'data': {'text/html':\n \"\\n\"+\n \"
\\n\"+\n \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n \"
\\n\"+\n \"
\\n\"+\n \"re-rerun `output_notebook()` to attempt to load from CDN again, or \\n\"+\n \"use INLINE resources instead, as so: \\n\"+\n \" \\n\"+\n \"
\\n\"+\n \"from bokeh.resources import INLINE\\n\"+\n \"output_notebook(resources=INLINE)\\n\"+\n \"\\n\"+\n \"
\"}};\n\n function display_loaded() {\n var el = document.getElementById(\"d0afd5f9-0065-4df8-8a4b-675361d5ab27\");\n if (el != null) {\n el.textContent = \"BokehJS is loading...\";\n }\n if (root.Bokeh !== undefined) {\n if (el != null) {\n el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n }\n } else if (Date.now() < root._bokeh_timeout) {\n setTimeout(display_loaded, 100)\n }\n }\n\n\n function run_callbacks() {\n try {\n root._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n }\n finally {\n delete root._bokeh_onload_callbacks\n }\n console.info(\"Bokeh: all callbacks have finished\");\n }\n\n function load_libs(js_urls, callback) {\n root._bokeh_onload_callbacks.push(callback);\n if (root._bokeh_is_loading > 0) {\n console.log(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n return null;\n }\n if (js_urls == null || js_urls.length === 0) {\n run_callbacks();\n return null;\n }\n console.log(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n root._bokeh_is_loading = js_urls.length;\n for (var i = 0; i < js_urls.length; i++) {\n var url = js_urls[i];\n var s = document.createElement('script');\n s.src = url;\n s.async = false;\n s.onreadystatechange = s.onload = function() {\n root._bokeh_is_loading--;\n if (root._bokeh_is_loading === 0) {\n console.log(\"Bokeh: all BokehJS libraries loaded\");\n run_callbacks()\n }\n };\n s.onerror = function() {\n console.warn(\"failed to load library \" + url);\n };\n console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.getElementsByTagName(\"head\")[0].appendChild(s);\n }\n };var element = document.getElementById(\"d0afd5f9-0065-4df8-8a4b-675361d5ab27\");\n if (element == null) {\n console.log(\"Bokeh: ERROR: autoload.js configured with elementid 'd0afd5f9-0065-4df8-8a4b-675361d5ab27' but no matching script tag was found. \")\n return false;\n }\n\n var js_urls = [\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.10.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.10.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.10.min.js\", \"https://cdn.pydata.org/bokeh/release/bokeh-gl-0.12.10.min.js\"];\n\n var inline_js = [\n function(Bokeh) {\n Bokeh.set_log_level(\"info\");\n },\n \n function(Bokeh) {\n \n },\n function(Bokeh) {\n console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-0.12.10.min.css\");\n Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.10.min.css\");\n console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.10.min.css\");\n Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.10.min.css\");\n console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.10.min.css\");\n Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-tables-0.12.10.min.css\");\n }\n ];\n\n function run_inline_js() {\n \n if ((root.Bokeh !== undefined) || (force === true)) {\n for (var i = 0; i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }if (force === true) {\n display_loaded();\n }} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n } else if (force !== true) {\n var cell = $(document.getElementById(\"d0afd5f9-0065-4df8-8a4b-675361d5ab27\")).parents('.cell').data().cell;\n cell.output_area.append_execute_result(NB_LOAD_WARNING)\n }\n\n }\n\n if (root._bokeh_is_loading === 0) {\n console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(js_urls, function() {\n console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));"
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/javascript": [
+ "(function(root) {\n",
+ " function embed_document(root) {\n",
+ " var docs_json = {\"7d9902ad-7614-471a-a7c5-5dc304b36511\":{\"roots\":{\"references\":[{\"attributes\":{},\"id\":\"a08acf7d-13e9-4024-85a4-5c7fad1ec1a5\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"active_drag\":\"auto\",\"active_inspect\":\"auto\",\"active_scroll\":\"auto\",\"active_tap\":\"auto\",\"tools\":[{\"id\":\"a99c3627-af82-4d80-ade5-ae7557077bcf\",\"type\":\"HoverTool\"}]},\"id\":\"79c6d942-6599-429a-afa9-16db9cce3b6a\",\"type\":\"Toolbar\"},{\"attributes\":{},\"id\":\"f9ccd8b5-c045-498c-8236-152ce8e7f563\",\"type\":\"LinearScale\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":10},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"d61320c3-cd1e-4541-ba5f-9064554f2038\",\"type\":\"Square\"},{\"attributes\":{\"data_source\":{\"id\":\"e22ce2f3-5fcf-4c25-b833-0d4fec64bc81\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"be460f4c-d893-43a3-ae2b-fd556070c71b\",\"type\":\"Square\"},\"hover_glyph\":null,\"muted_glyph\":null,\"name\":\"bar\",\"nonselection_glyph\":{\"id\":\"d61320c3-cd1e-4541-ba5f-9064554f2038\",\"type\":\"Square\"},\"selection_glyph\":null,\"view\":{\"id\":\"3978af02-9491-4ade-8889-c39fa99cc3f5\",\"type\":\"CDSView\"}},\"id\":\"7c24931b-5a88-44bb-b1c2-e248cb4c0317\",\"type\":\"GlyphRenderer\"},{\"attributes\":{},\"id\":\"08b10250-ef0f-4234-aae6-15e35423b285\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"plot\":{\"id\":\"40656fb5-8900-4850-be83-30e67b06e1f9\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"9275dc0f-c587-4dd5-bd73-fdd5aa7f19ca\",\"type\":\"BasicTicker\"}},\"id\":\"66c215a4-3431-49ba-81e7-98bd9290edfc\",\"type\":\"Grid\"},{\"attributes\":{\"formatter\":{\"id\":\"a08acf7d-13e9-4024-85a4-5c7fad1ec1a5\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"40656fb5-8900-4850-be83-30e67b06e1f9\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"9275dc0f-c587-4dd5-bd73-fdd5aa7f19ca\",\"type\":\"BasicTicker\"}},\"id\":\"3cd5ba68-5aa8-4a67-8b43-71d928ad8780\",\"type\":\"LinearAxis\"},{\"attributes\":{\"below\":[{\"id\":\"3cd5ba68-5aa8-4a67-8b43-71d928ad8780\",\"type\":\"LinearAxis\"}],\"left\":[{\"id\":\"ac74435b-365e-4fe6-aa59-f90d1fea413e\",\"type\":\"LinearAxis\"}],\"plot_height\":300,\"renderers\":[{\"id\":\"3cd5ba68-5aa8-4a67-8b43-71d928ad8780\",\"type\":\"LinearAxis\"},{\"id\":\"66c215a4-3431-49ba-81e7-98bd9290edfc\",\"type\":\"Grid\"},{\"id\":\"ac74435b-365e-4fe6-aa59-f90d1fea413e\",\"type\":\"LinearAxis\"},{\"id\":\"b263a170-cf2e-4121-86b9-0d33720a0e51\",\"type\":\"Grid\"},{\"id\":\"c34ed005-17d7-4794-933e-d0b69574091c\",\"type\":\"GlyphRenderer\"},{\"id\":\"7c24931b-5a88-44bb-b1c2-e248cb4c0317\",\"type\":\"GlyphRenderer\"},{\"id\":\"2fabe34c-5618-4194-b943-e18dd006e860\",\"type\":\"GlyphRenderer\"}],\"title\":{\"id\":\"f215cee9-0394-420e-ab16-b12fa12ff58e\",\"type\":\"Title\"},\"toolbar\":{\"id\":\"79c6d942-6599-429a-afa9-16db9cce3b6a\",\"type\":\"Toolbar\"},\"x_range\":{\"id\":\"c10e06c8-0a02-40a3-ae66-e340c85a9436\",\"type\":\"DataRange1d\"},\"x_scale\":{\"id\":\"f9ccd8b5-c045-498c-8236-152ce8e7f563\",\"type\":\"LinearScale\"},\"y_range\":{\"id\":\"31f9ad3b-651c-4e2b-adda-650c8cf8f2ed\",\"type\":\"DataRange1d\"},\"y_scale\":{\"id\":\"2bdc3411-9474-4a56-878c-53cea45d1d22\",\"type\":\"LinearScale\"}},\"id\":\"40656fb5-8900-4850-be83-30e67b06e1f9\",\"subtype\":\"Figure\",\"type\":\"Plot\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"x\",\"y\"],\"data\":{\"x\":[0,1,2,3,4,5,6,7,8,9],\"y\":[5,3,8,5,3,7,5,3,8,5]}},\"id\":\"7291d73a-cfb2-46e4-abac-fdb3898308be\",\"type\":\"ColumnDataSource\"},{\"attributes\":{},\"id\":\"9275dc0f-c587-4dd5-bd73-fdd5aa7f19ca\",\"type\":\"BasicTicker\"},{\"attributes\":{},\"id\":\"2bdc3411-9474-4a56-878c-53cea45d1d22\",\"type\":\"LinearScale\"},{\"attributes\":{\"formatter\":{\"id\":\"08b10250-ef0f-4234-aae6-15e35423b285\",\"type\":\"BasicTickFormatter\"},\"plot\":{\"id\":\"40656fb5-8900-4850-be83-30e67b06e1f9\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"e172ee72-e43e-4c7d-8350-a7f08774c68b\",\"type\":\"BasicTicker\"}},\"id\":\"ac74435b-365e-4fe6-aa59-f90d1fea413e\",\"type\":\"LinearAxis\"},{\"attributes\":{\"callback\":null,\"names\":[\"foo\"]},\"id\":\"a99c3627-af82-4d80-ade5-ae7557077bcf\",\"type\":\"HoverTool\"},{\"attributes\":{\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"253cea85-ef65-4a20-9b62-d6e25a7994ab\",\"type\":\"Line\"},{\"attributes\":{},\"id\":\"e172ee72-e43e-4c7d-8350-a7f08774c68b\",\"type\":\"BasicTicker\"},{\"attributes\":{\"dimension\":1,\"plot\":{\"id\":\"40656fb5-8900-4850-be83-30e67b06e1f9\",\"subtype\":\"Figure\",\"type\":\"Plot\"},\"ticker\":{\"id\":\"e172ee72-e43e-4c7d-8350-a7f08774c68b\",\"type\":\"BasicTicker\"}},\"id\":\"b263a170-cf2e-4121-86b9-0d33720a0e51\",\"type\":\"Grid\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"x\",\"y\"],\"data\":{\"x\":[0,1,2,3,4,5,6,7,8,9],\"y\":[2,5,4,6,4,3,6,4,3,2]}},\"id\":\"e22ce2f3-5fcf-4c25-b833-0d4fec64bc81\",\"type\":\"ColumnDataSource\"},{\"attributes\":{\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"6471ec43-45e4-4697-b0ea-a6c6a393afd1\",\"type\":\"Line\"},{\"attributes\":{\"fill_alpha\":{\"value\":0.1},\"fill_color\":{\"value\":\"#1f77b4\"},\"line_alpha\":{\"value\":0.1},\"line_color\":{\"value\":\"#1f77b4\"},\"size\":{\"units\":\"screen\",\"value\":10},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"f573285a-ece0-43ba-a0ce-6258a88c37d4\",\"type\":\"Circle\"},{\"attributes\":{\"data_source\":{\"id\":\"7291d73a-cfb2-46e4-abac-fdb3898308be\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"253cea85-ef65-4a20-9b62-d6e25a7994ab\",\"type\":\"Line\"},\"hover_glyph\":null,\"muted_glyph\":null,\"nonselection_glyph\":{\"id\":\"6471ec43-45e4-4697-b0ea-a6c6a393afd1\",\"type\":\"Line\"},\"selection_glyph\":null,\"view\":{\"id\":\"6c195f31-58ef-4181-9e2a-044c61f65765\",\"type\":\"CDSView\"}},\"id\":\"2fabe34c-5618-4194-b943-e18dd006e860\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"data_source\":{\"id\":\"892ba7a7-e6e7-48c4-93d8-05cf9336b220\",\"type\":\"ColumnDataSource\"},\"glyph\":{\"id\":\"e0531d0e-aad0-455a-9aff-d1937aecaa0c\",\"type\":\"Circle\"},\"hover_glyph\":null,\"muted_glyph\":null,\"name\":\"foo\",\"nonselection_glyph\":{\"id\":\"f573285a-ece0-43ba-a0ce-6258a88c37d4\",\"type\":\"Circle\"},\"selection_glyph\":null,\"view\":{\"id\":\"65755f47-49bb-4233-a406-298ce7c7bfb3\",\"type\":\"CDSView\"}},\"id\":\"c34ed005-17d7-4794-933e-d0b69574091c\",\"type\":\"GlyphRenderer\"},{\"attributes\":{\"callback\":null},\"id\":\"c10e06c8-0a02-40a3-ae66-e340c85a9436\",\"type\":\"DataRange1d\"},{\"attributes\":{\"source\":{\"id\":\"7291d73a-cfb2-46e4-abac-fdb3898308be\",\"type\":\"ColumnDataSource\"}},\"id\":\"6c195f31-58ef-4181-9e2a-044c61f65765\",\"type\":\"CDSView\"},{\"attributes\":{\"source\":{\"id\":\"892ba7a7-e6e7-48c4-93d8-05cf9336b220\",\"type\":\"ColumnDataSource\"}},\"id\":\"65755f47-49bb-4233-a406-298ce7c7bfb3\",\"type\":\"CDSView\"},{\"attributes\":{\"fill_color\":{\"value\":\"red\"},\"line_color\":{\"value\":\"red\"},\"size\":{\"units\":\"screen\",\"value\":10},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"e0531d0e-aad0-455a-9aff-d1937aecaa0c\",\"type\":\"Circle\"},{\"attributes\":{\"source\":{\"id\":\"e22ce2f3-5fcf-4c25-b833-0d4fec64bc81\",\"type\":\"ColumnDataSource\"}},\"id\":\"3978af02-9491-4ade-8889-c39fa99cc3f5\",\"type\":\"CDSView\"},{\"attributes\":{\"plot\":null,\"text\":\"\"},\"id\":\"f215cee9-0394-420e-ab16-b12fa12ff58e\",\"type\":\"Title\"},{\"attributes\":{\"fill_color\":{\"value\":\"blue\"},\"line_color\":{\"value\":\"blue\"},\"size\":{\"units\":\"screen\",\"value\":10},\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"be460f4c-d893-43a3-ae2b-fd556070c71b\",\"type\":\"Square\"},{\"attributes\":{\"callback\":null},\"id\":\"31f9ad3b-651c-4e2b-adda-650c8cf8f2ed\",\"type\":\"DataRange1d\"},{\"attributes\":{\"callback\":null,\"column_names\":[\"x\",\"y\"],\"data\":{\"x\":[0,1,2,3,4,5,6,7,8,9],\"y\":[3,5,3,2,6,7,4,3,6,5]}},\"id\":\"892ba7a7-e6e7-48c4-93d8-05cf9336b220\",\"type\":\"ColumnDataSource\"}],\"root_ids\":[\"40656fb5-8900-4850-be83-30e67b06e1f9\"]},\"title\":\"Bokeh Application\",\"version\":\"0.12.10\"}};\n",
+ " var render_items = [{\"docid\":\"7d9902ad-7614-471a-a7c5-5dc304b36511\",\"elementid\":\"63208adb-c8c0-4343-a16e-5d12052f18cc\",\"modelid\":\"40656fb5-8900-4850-be83-30e67b06e1f9\"}];\n",
+ "\n",
+ " root.Bokeh.embed.embed_items(docs_json, render_items);\n",
+ " }\n",
+ "\n",
+ " if (root.Bokeh !== undefined) {\n",
+ " embed_document(root);\n",
+ " } else {\n",
+ " var attempts = 0;\n",
+ " var timer = setInterval(function(root) {\n",
+ " if (root.Bokeh !== undefined) {\n",
+ " embed_document(root);\n",
+ " clearInterval(timer);\n",
+ " }\n",
+ " attempts++;\n",
+ " if (attempts > 100) {\n",
+ " console.log(\"Bokeh: ERROR: Unable to embed document because BokehJS library is missing\")\n",
+ " clearInterval(timer);\n",
+ " }\n",
+ " }, 10, root)\n",
+ " }\n",
+ "})(window);"
+ ],
+ "application/vnd.bokehjs_exec.v0+json": ""
+ },
+ "metadata": {
+ "application/vnd.bokehjs_exec.v0+json": {
+ "id": "40656fb5-8900-4850-be83-30e67b06e1f9"
+ }
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "from bokeh.plotting import output_notebook, figure, show\n",
+ "from bokeh.models import HoverTool\n",
+ "\n",
+ "output_notebook()\n",
+ "\n",
+ "x = list(range(10))\n",
+ "y1 = [3,5,3,2,6,7,4,3,6,5]\n",
+ "y2 = [2,5,4,6,4,3,6,4,3,2]\n",
+ "y3 = [5,3,8,5,3,7,5,3,8,5]\n",
+ "\n",
+ "hover = HoverTool(names=[\"foo\"])\n",
+ "\n",
+ "p = figure(plot_width=600, plot_height=300, tools=[hover,])\n",
+ "p.circle(x, y1, size=10, name=\"foo\", color='red')\n",
+ "p.square(x, y2, size=10, name=\"bar\", color='blue')\n",
+ "p.line(x=x, y=y3, color='black')\n",
+ "show(p)"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.6.3"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/CSVFiles.csv b/CSVFiles.csv
new file mode 100644
index 00000000..21728526
--- /dev/null
+++ b/CSVFiles.csv
@@ -0,0 +1,12862 @@
+HEADER
+/pub/ibtracs/v03r10/all/csv/storm/Storm.1842298N11080.ibtracs_all.v03r10.csv
+/pub/ibtracs/v03r10/all/csv/storm/Storm.1845336N10074.ibtracs_all.v03r10.csv
+/pub/ibtracs/v03r10/all/csv/storm/Storm.1848011S09079.ibtracs_all.v03r10.csv
+/pub/ibtracs/v03r10/all/csv/storm/Storm.1848011S09080.ibtracs_all.v03r10.csv
+/pub/ibtracs/v03r10/all/csv/storm/Storm.1848011S15057.ibtracs_all.v03r10.csv
+/pub/ibtracs/v03r10/all/csv/storm/Storm.1848011S16057.ibtracs_all.v03r10.csv
+/pub/ibtracs/v03r10/all/csv/storm/Storm.1848061S12075.ibtracs_all.v03r10.csv
+/pub/ibtracs/v03r10/all/csv/storm/Storm.1848062S13069.ibtracs_all.v03r10.csv
+/pub/ibtracs/v03r10/all/csv/storm/Storm.1848112S07084.ibtracs_all.v03r10.csv
+/pub/ibtracs/v03r10/all/csv/storm/Storm.1848112S07444.ibtracs_all.v03r10.csv
+/pub/ibtracs/v03r10/all/csv/storm/Storm.1851080S15062.ibtracs_all.v03r10.csv
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diff --git a/Cat Map Project Write-up and Reflection.pdf b/Cat Map Project Write-up and Reflection.pdf
new file mode 100644
index 00000000..c76ee5b4
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diff --git a/Hurricane.py b/Hurricane.py
new file mode 100644
index 00000000..5a14a04c
--- /dev/null
+++ b/Hurricane.py
@@ -0,0 +1,157 @@
+"""Hurricane.py contains the code for the Hurricane class, which is utilized in the Model class. Make sure to have
+the numpy and datetime libraries. Script can be run just by typing "python Hurricane.py" in terminal."""
+import numpy as np
+from datetime import datetime
+import pandas as pd
+
+
+class Hurricane(object):
+ """
+ The Hurricane class represents each hurricane in the map. Id, name, latitude, longitude, season, times,
+ and winds are extracted from a large data frame inputted by Model.py. Each hurricane object contains information
+ necessary for the hover, slider, and plotting tools in Map.py.
+ """
+
+ def __init__(self, df):
+ """
+ Creates the hurricane object with a data frame obtained from NOAA. Each object has an id, name, a season,
+ a date, a duration, a category, and arrays of web mercator projection coordinates.
+
+ :param df: data frame that Model.__init__ creates, there is one df for each hurricane
+ """
+ self.id = df['Serial_Num'][1]
+ self.name = df['Name'][1]
+
+ lats = df['Latitude_for_mapping'][1:]
+ longs = df['Longitude_for_mapping'][1:]
+ self.x = self.convertLong(longs)
+ self.y = self.convertLat(lats)
+
+ self.season = df['Season'][1]
+ times = df['ISO_time'][1:].tolist()
+
+ self.time = self.findTime(self.season, times[0])
+ self.duration = self.findDuration(times)
+
+ winds = df['Wind(WMO)'][1:]
+ winds = np.asfarray(winds.values, float)
+ self.category = self.findCat(winds)
+
+ def __str__(self):
+ """
+ Creates a string representation of a hurricane object
+ :return: the string representing hurricane
+ """
+ output = "ID: " + str(self.id) + " Name: " + str(self.name) + " Time: " + str(self.time) + " Duration: " + \
+ str(self.duration) + " Cat: " + str(self.category) + "\n" + "\n" + "x:" + str(
+ self.x) + "\n" + "y:" + str(self.y)
+ return output
+
+ def convertLong(self, longs):
+ """
+ Converts an array of longitudes signifying a hurricane's path to web mercator x values. This function was
+ tested by plotting several hurricanes with known locations and then making sure they were plotted in the
+ correct area.
+ :param longs: data frame of longitudes of a hurricane path
+ :return: an array of x coordinates to be plotted
+
+ """
+ k = 6378137
+ x = []
+ for ind, i in enumerate(np.asfarray(longs.values, float)):
+ # print('i type is: ', type(i))
+ xi = i * (k * np.pi / 180.0)
+ if ind > 0:
+ if abs(xi - x[ind - 1]) > (10 ** 7):
+ xi = xi * -1
+ x.append(xi)
+ return x
+
+ def convertLat(self, lats):
+ """
+ Converts an array of latitudes signifying a hurricane's path to web mercator y values. This function was
+ tested by plotting several hurricanes with known locations and then making sure they were plotted in the
+ correct area.
+ :param lats: data frame of latitudes of a hurricane path
+ :return: an array of y coordinates to be plotted
+ """
+ k = 6378137
+ y = []
+ for j in np.asfarray(lats.values, float):
+ yj = np.log(np.tan((90 + j) * np.pi / 360.0)) * k
+ y.append(yj)
+ return y
+
+ def findTime(self, season, time):
+ """
+ Takes the season (represents the year of the hurricane) and the first time value (used to get
+ the month of hurricane) and combines them into one string for the hover tool
+ :param season: str of the year of the hurricane
+ :param time: time of first data point of the hurricane
+ :return: str of year and month of hurricane
+ """
+ # array of month names that gets referenced
+ months = ["January", "February", "March", "April", "May", "June", "July", "August", "September", "October",
+ "November", "December"]
+ # convert the month in "time" to an int and match it to the right month name
+ month = int(time[5] + time[6]) - 1
+ return season + ", " + months[month]
+
+ def findDuration(self, times):
+ """
+ Takes an array of time values for a hurricane and calculates the time difference in days between the first and
+ last point. Uses the python datetime library.
+ :param times: array of time values
+ :return: str representing duration of a hurricane in days
+ """
+ start = times[0][:10]
+ end = times[len(times) - 1][:10]
+ start2 = datetime.strptime(start, "%Y-%m-%d")
+ end2 = datetime.strptime(end, "%Y-%m-%d")
+ duration = abs((end2 - start2).days)
+ return str(duration) + " day(s)"
+
+ def findCat(self, winds):
+ """
+ Takes an array of maximum sustained wind values in knots and determines the maximum value.
+ From the maximum value, the category is determined. The categories at 1 to 5, but there is also TS and TD
+ and NA. (-999 is replaced with -1)
+ :param winds: array of wind values
+ :return: str representing the category
+ """
+ maxWind = -1
+ for wind in winds:
+ if wind is -999:
+ wind = -1
+ if wind > maxWind:
+ maxWind = wind
+
+ if maxWind is -1:
+ category = "NA"
+ elif maxWind >= 137:
+ category = "5"
+ elif maxWind >= 113:
+ category = "4"
+ elif maxWind >= 96:
+ category = "3"
+ elif maxWind >= 83:
+ category = "2"
+ elif maxWind >= 64:
+ category = "1"
+ elif maxWind >= 34:
+ category = "TS"
+ else:
+ category = "TD"
+
+ return category
+
+if __name__ == '__main__':
+ # TESTING: creates a hurricane object using the 12700th URL in CSVFiles.csv and then prints it
+ df = pd.read_csv("CSVFiles.csv", low_memory=False)
+ url = df.values[12700]
+ url = "ftp://eclipse.ncdc.noaa.gov" + url[0]
+ data = pd.read_csv(url)
+ data.to_csv("hurricane.csv", header=None)
+ df2 = pd.read_csv("hurricane.csv", low_memory=False)
+ b = Hurricane(df2)
+ print(b)
diff --git a/Map.py b/Map.py
new file mode 100644
index 00000000..245d199f
--- /dev/null
+++ b/Map.py
@@ -0,0 +1,109 @@
+"""Map.py takes in the information from the other python files and uses Bokeh to display the data in an interactive
+way. The key bokeh features involve hovers, a slider, and a map. The script needs to be run using the bokeh server
+because callback functions in CustomJS do not support the formation of new ColumnDataSources. (If you know of a way
+to output the map as an html without using the bokeh server please email cassandra.overney@students.olin.edu.) For
+now, you can run the file by typing "bokeh serve --show Map.py" in the terminal. It will take a few minutes to get
+the map to appear. Make sure to have the pandas, bokeh, and pickle libraries installed before running. """
+
+import pandas as pd
+from bokeh.plotting import figure, curdoc
+from bokeh.models import WMTSTileSource, HoverTool, Slider, ColumnDataSource
+from bokeh.layouts import widgetbox, layout
+import bokeh.colors
+import pickle
+
+# reads in the pickle file from the Model class and stores the hurricane objects into a simple array
+hurricanes = []
+with open('hurricane_data.pkl', 'rb') as f:
+ for _ in range(pickle.load(f)):
+ hurricanes.append(pickle.load(f))
+
+# makes more arrays for the DataFrame and ColumnDataSource bokeh objects. Each array contains pertinent information
+# for each hurricane. The arrays need to be the same length, so there are a lot of duplicates.
+xs_array = [] # an array with each element being an array of x points in a hurricane's path (used for multi line)
+ys_array = [] # an array with each element being an array of y points in a hurricane's path (used for multi line)
+x_array = [] # an array with each element being a x coordinate of a hurricane's path (used for circle)
+y_array = [] # an array with each element being a y coordinate of a hurricane's path (used for circle)
+name_array = [] # an array with each element being a name of a hurricane (used for hover)
+season_array = [] # an array with each element being a season/yr of a hurricane (used for slider)
+time_array = [] # an array with each element being the time of a hurricane (used for hover)
+duration_array = [] # an array with each element being the duration of a hurricane (used for hover)
+cat_array = [] # an array with each element being the category of a hurricane (used for hover and colors)
+color_array = [] # an array with each element being the color of a hurricane point (used for multi line and circle)
+
+# a dictionary of colors with keys being the possible category names and the values being their corresponding colors
+# colors = {"5": "darkturquoise", "4": "mediumturquoise", "3": "turquoise", "2": "aquamarine", "1": "paleturquoise", "TS": "lightblue", "TD": "lightcyan",
+ # "NA": 'mintcream'}
+
+colors = {"5": "darkred", "4": "maroon", "3": "firebrick", "2": "crimson", "1": "indianred", "TS": "mediumvioletred", "TD": "hotpink",
+ "NA": 'mistyrose'}
+
+# iterate through each hurricane and add its data to the arrays declared above
+for elm in hurricanes:
+ for i, tempx in enumerate(elm.x):
+ xs_array.append(elm.x)
+ x_array.append(tempx)
+ name_array.append(elm.name)
+ ys_array.append(elm.y)
+ y_array.append(elm.y[i])
+ season_array.append(elm.season)
+ time_array.append(elm.time)
+ duration_array.append(elm.duration)
+ cat_array.append(elm.category)
+ color_array.append(colors.get(elm.category))
+
+# make a dictionary of all the arrays with the keys being the array names
+d = {'xs': xs_array, 'ys': ys_array, 'x': x_array, 'y': y_array, 'name': name_array, 'season': season_array,
+ 'time': time_array, 'duration': duration_array, 'cat': cat_array, 'color': color_array}
+
+# translate that dictionary into a DataFrame
+df = pd.DataFrame(data=d)
+
+# makes the first ColumnDataSource by extracting all the data from df that has a season equal to 1842 (initial value
+# of slider)
+source = ColumnDataSource(df[df.season == '1842'])
+
+# creates all the bokeh components for the data visualization
+bound = 20000000 # in meters
+
+p = figure(tools=['hover', 'pan', 'wheel_zoom'], x_range=(-bound, bound), y_range=(-bound, bound))
+p.axis.visible = False
+
+# WMTSTileSource borrowed from online
+url = 'http://a.basemaps.cartocdn.com/dark_nolabels/{Z}/{X}/{Y}.png'
+attribution = "Tiles by Carto, under CC BY 3.0. Data by OSM, under ODbL"
+p.add_tile(WMTSTileSource(url=url, attribution=attribution))
+
+# uses source to plot the hurricane points and paths associated with the value of the slider
+p.multi_line('xs', 'ys', source=source, color='color', line_width=3)
+circle = p.circle('x', 'y', source=source, color='color', size=10)
+p.tools[0].renderers.append(circle)
+
+
+# callback function for slider
+def callback(attr, old, new):
+ """
+ Takes value of slider and replaces the data in source by extracting all the data from df with season equal to
+ slider value
+ :param attr: typical parameters for bokeh callback
+ :param old: typical parameters for bokeh callback
+ :param new: typical parameters for bokeh callback
+ :return: none
+ """
+ N = slider.value
+ new1 = ColumnDataSource(df[df.season == str(N)])
+ source.data = new1.data
+
+
+# creates slider and hover
+slider = Slider(start=1842, end=2017, value=1842, step=1, title="Year")
+slider.on_change('value', callback)
+
+hover = p.select(dict(type=HoverTool))
+hover.tooltips = [("Name", "@name"), ("Time", "@time"), ("Duration", "@duration"),
+ ("Category", "@cat")]
+hover.mode = 'mouse'
+
+# creates the layout and outputs it to the bokeh server
+l = layout([widgetbox(slider), p])
+curdoc().add_root(l)
\ No newline at end of file
diff --git a/Model.py b/Model.py
new file mode 100644
index 00000000..9aebf6ac
--- /dev/null
+++ b/Model.py
@@ -0,0 +1,72 @@
+"""Model.py contains the code for the Model class, which has Hurricane objects and is created in Map.py.
+Make sure to have Hurricane.py, pandas, and pickle. Script can be run just by typing "python Model.py" in terminal. """
+from Hurricane import Hurricane
+import pandas as pd
+import pickle
+
+
+class Model(object):
+ """
+ The Model class creates the Hurricane objects by reading in csv files stored in the NOAA FTP server. The links to
+ the csv files are extracted from "data.py" and stored in the "CSVFiles.csv" (chronological order). The Hurricane
+ objects are also stored in a pickle file, so objects do not need to be created each time the map is run.
+ """
+ # MAXNUM is the total number of hurricanes in the NOAA database
+ MAXNUM = 12860
+
+ def __init__(self, start=None, end=None):
+ """
+ Creates the hurricane objects given a start and end index for the "CSVFiles.csv" and stories the objects in
+ an array. If no start is given, start is set to the index of the first hurricane. If no end if given,
+ end is set to the index of the last hurricane.
+ :param start: index of first hurricane to extract data from
+ :param end: index of last hurricane to extract data from
+ """
+ self.hurricaneLst = []
+
+ if start is None:
+ start = 0
+
+ if end is None:
+ end = Model.MAXNUM
+
+ # read in "CSVFiles.csv" and extract the data frames with the urls from start to end and call __init__ for
+ # Hurricane class and append object to hurricane list attribute
+ df = pd.read_csv("CSVFiles.csv", low_memory=False)
+ for i in range(start, end):
+ url = df.values[i]
+ url = "ftp://eclipse.ncdc.noaa.gov" + url[0]
+ data = pd.read_csv(url)
+ data.to_csv("hurricane.csv", header=None)
+ df2 = pd.read_csv("hurricane.csv", low_memory=False)
+ hurricane = Hurricane(df2)
+ self.hurricaneLst.append(hurricane)
+
+ def __str__(self):
+ """
+ Creates a string representation of a model object by calling the Hurricane.__str__ for each hurricane in
+ hurricaneLst
+ :return: the string representing model
+ """
+ output = ""
+ for elm in self.hurricaneLst:
+ output += Hurricane.__str__(elm)
+ output += "\n" + "\n"
+ return output
+
+ def pickle(self):
+ """
+ Iterates through hurricaneLst and dumps each hurricane object into one pickle file
+ :return: nothing
+ """
+ with open('hurricane_data.pkl', 'wb') as output:
+ pickle.dump(len(self.hurricaneLst), output)
+ for elm in self.hurricaneLst:
+ pickle.dump(elm, output)
+
+
+if __name__ == '__main__':
+ # TESTING, makes model object ALL hurricanes and then puts the data into a pickle file
+ test = Model(0, Model.MAXNUM)
+ test.pickle()
+ # print(test)
diff --git a/README.md b/README.md
index 5f822327..9daa7603 100644
--- a/README.md
+++ b/README.md
@@ -1,2 +1,21 @@
-# InteractiveProgramming
-This is the base repo for the interactive programming project for Software Design, Spring 2018 at Olin College.
+# InteractiveProgramming: Cat Map
+This is for the interactive programming project for Software Design, Spring 2018, at Olin College.
+
+Cat Map is an interactive visualization of hurricane data within the NOAA database. The data is obtained by accessing csv files stored in a FTP server. Various hurricane paths are plotted on a map that users can easily zoom into and explore. The points and paths are color coded according to the category of the hurricane. Additional features include a slider for year that determines which hurricanes are plotted and a hover window that is generated for every point in a hurricane path. The hover includes the name, time, duration, and category for a given hurricane.
+
+The structure of our program involves object-oriented programming. The Map.py file creates a Model object, which in turn creates a bunch of Hurricane objects, and combines the data with interactive components from Bokeh.
+
+To initiate the Cat Map, type __"bokeh serve --show Map.py"__ into the terminal. The map needs to be generated using the bokeh server. Additionally, you many need to install several support libraries for the program to execute. The following is a list of python libraries that are utilized with installation instructions:
+- pickle (comes with Python)
+- [pandas](https://pandas.pydata.org/)
+- [bokeh](https://bokeh.pydata.org/en/latest/docs/installation.html)
+- numpy ("pip install numpy")
+- datetime ("pip install datetime")
+- Additional libraries that don't need to installed to run map (used for data.py)
+ - [splinter](http://splinter.readthedocs.io/en/latest/install.html)
+ - [BeautifulSoup](https://www.crummy.com/software/BeautifulSoup/bs4/doc/#installing-beautiful-soup)
+ - time (comes with Python)
+
+A more detailed description of our project can be found [here](https://github.com/coverney/InteractiveProgramming/blob/master/Cat%20Map%20Project%20Write-up%20and%20Reflection.pdf).
+
+If you have any questions, please contact us at cassandra.overney@students.olin.edu and elizabeth.tawes@students.olin.edu.
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diff --git a/bokeh-notebooks b/bokeh-notebooks
new file mode 160000
index 00000000..a67b0e45
--- /dev/null
+++ b/bokeh-notebooks
@@ -0,0 +1 @@
+Subproject commit a67b0e458cf2e0b4b3cfdaa5b5447704e7ffebf8
diff --git a/data.py b/data.py
new file mode 100644
index 00000000..17b9084a
--- /dev/null
+++ b/data.py
@@ -0,0 +1,39 @@
+"""data.py uses data scrapping techniques to extract the links of the csv files for each hurricane in the NOAA
+database. The script was only intended to be run once to generate CSVFiles.csv, which is used in Model.py. Make sure
+to have the splinter, BeautifulSoup, time, and pandas libraries if you want to run/modify the script. To run the
+script, just type "python data.py" in the terminal. If you have any questions feel free to send an email to
+cassandra.overney@students.olin.edu """
+
+from splinter import Browser
+from bs4 import BeautifulSoup
+from time import sleep
+import pandas as pd
+
+def get_CSVFiles():
+ """
+ Opens up a Chrome browser, navigates to the FTP server in NOAA and uses BeautifulSoup to extract all of the URLs
+ from a table of hurricanes.
+ :return: list of urls, one for each hurricane
+ """
+ urls = []
+ # Opens up a Chrome browser, you may have to download a chrome driver and change the executable path accordingly
+ executable_path = {'executable_path':'/bin/chromedriver'}
+ browser = Browser('chrome', **executable_path)
+ # vists the correct URL and extracts all the links from the HTML table file
+ url = "ftp://eclipse.ncdc.noaa.gov/pub/ibtracs/v03r10/all/csv/storm/"
+ browser.visit(url)
+ sleep(15)
+ soup = BeautifulSoup(browser.html, "html.parser")
+ tab = soup.table
+ # print(links[0:10])
+ for a in tab.find_all('a', href=True):
+ urls.append(a['href'])
+ browser.quit()
+ return urls
+
+if __name__ == '__main__':
+ # calls get_CSVFiles and turns the array of URLs into a data frame and then writes that data frame to a csv file.
+ urls = get_CSVFiles()
+ print(urls[0:10])
+ df = pd.DataFrame(urls)
+ df.to_csv("CSVFiles.csv", header=None, index=None)
\ No newline at end of file
diff --git a/hurricane.csv b/hurricane.csv
new file mode 100644
index 00000000..3f80903d
--- /dev/null
+++ b/hurricane.csv
@@ -0,0 +1,27 @@
+Serial_Num,Season,Num,Basin,Sub_basin,Name,ISO_time,Nature,Latitude,Longitude,Wind(WMO),Pres(WMO),Center,Wind(WMO) Percentile,Pres(WMO) Percentile,Track_type,Latitude_for_mapping,Longitude_for_mapping,Current Basin,hurdat_atl_lat,hurdat_atl_lon,hurdat_atl_grade,hurdat_atl_wind,hurdat_atl_pres,td9636_lat,td9636_lon,td9636_grade,td9636_wind,td9636_pres,reunion_lat,reunion_lon,reunion_grade,reunion_wind,reunion_pres,atcf_lat,atcf_lon,atcf_grade,atcf_wind,atcf_pres,mlc_natl_lat,mlc_natl_lon,mlc_natl_grade,mlc_natl_wind,mlc_natl_pres,ds824_sh_lat,ds824_sh_lon,ds824_sh_grade,ds824_sh_wind,ds824_sh_pres,ds824_ni_lat,ds824_ni_lon,ds824_ni_grade,ds824_ni_wind,ds824_ni_pres,bom_lat,bom_lon,bom_grade,bom_wind,bom_pres,ds824_au_lat,ds824_au_lon,ds824_au_grade,ds824_au_wind,ds824_au_pres,jtwc_sh_lat,jtwc_sh_lon,jtwc_sh_grade,jtwc_sh_wind,jtwc_sh_pres,jtwc_wp_lat,jtwc_wp_lon,jtwc_wp_grade,jtwc_wp_wind,jtwc_wp_pres,td9635_lat,td9635_lon,td9635_grade,td9635_wind,td9635_pres,ds824_wp_lat,ds824_wp_lon,ds824_wp_grade,ds824_wp_wind,ds824_wp_pres,jtwc_io_lat,jtwc_io_lon,jtwc_io_grade,jtwc_io_wind,jtwc_io_pres,cma_lat,cma_lon,cma_grade,cma_wind,cma_pres,hurdat_epa_lat,hurdat_epa_lon,hurdat_epa_grade,hurdat_epa_wind,hurdat_epa_pres,jtwc_ep_lat,jtwc_ep_lon,jtwc_ep_grade,jtwc_ep_wind,jtwc_ep_pres,ds824_ep_lat,ds824_ep_lon,ds824_ep_grade,ds824_ep_wind,ds824_ep_pres,jtwc_cp_lat,jtwc_cp_lon,jtwc_cp_grade,jtwc_cp_wind,jtwc_cp_pres,tokyo_lat,tokyo_lon,tokyo_grade,tokyo_wind,tokyo_pres,neumann_lat,neumann_lon,neumann_grade,neumann_wind,neumann_pres,hko_lat,hko_lon,hko_grade,hko_wind,hko_pres,cphc_lat,cphc_lon,cphc_grade,cphc_wind,cphc_pres,wellington_lat,wellington_lon,wellington_grade,wellington_wind,wellington_pres,newdelhi_lat,newdelhi_lon,newdelhi_grade,newdelhi_wind,newdelhi_pres,nadi_lat,nadi_lon,nadi_grade,nadi_wind,nadi_pres,reunion_rmw,reunion_wind_radii_1_ne,reunion_wind_radii_1_se,reunion_wind_radii_1_sw,reunion_wind_radii_1_nw,reunion_wind_radii_2_ne,reunion_wind_radii_2_se,reunion_wind_radii_2_sw,reunion_wind_radii_2_nw,bom_mn_hurr_xtnt,bom_mn_gale_xtnt,bom_mn_eye_diam,bom_roci,atcf_rmw,atcf_poci,atcf_roci,atcf_eye,atcf_wrad34_rad1,atcf_wrad34_rad2,atcf_wrad34_rad3,atcf_wrad34_rad4,atcf_wrad50_rad1,atcf_wrad50_rad2,atcf_wrad50_rad3,atcf_wrad50_rad4,atcf_wrad64_rad1,atcf_wrad64_rad2,atcf_wrad64_rad3,atcf_wrad64_rad4,tokyo_dir50,tokyo_long50,tokyo_short50,tokyo_dir30,tokyo_long30,tokyo_short30,jtwc_??_rmw,jtwc_??_poci,jtwc_??_roci,jtwc_??_eye,jtwc_??_wrad34_rad1,jtwc_??_wrad34_rad2,jtwc_??_wrad34_rad3,jtwc_??_wrad34_rad4,jtwc_??_wrad50_rad1,jtwc_??_wrad50_rad2,jtwc_??_wrad50_rad3,jtwc_??_wrad50_rad4,jtwc_??_wrad64_rad1,jtwc_??_wrad64_rad2,jtwc_??_wrad64_rad3,jtwc_??_wrad64_rad4
+,Year,#,BB,BB,,YYYY-MM-DD HH:MM:SS,,deg_north,deg_east,kt,mb,,%,%,,degrees_north,degrees_east,,deg_north,deg_east, ,kt,mb,deg_north,deg_east, ,kt,mb,deg_north,deg_east, ,kt,mb,deg_north,deg_east, ,kt,mb,deg_north,deg_east, ,kt,mb,deg_north,deg_east, ,kt,mb,deg_north,deg_east, ,kt,mb,deg_north,deg_east, ,kt,mb,deg_north,deg_east, ,kt,mb,deg_north,deg_east, ,kt,mb,deg_north,deg_east, ,kt,mb,deg_north,deg_east, ,kt,mb,deg_north,deg_east, ,kt,mb,deg_north,deg_east, ,kt,mb,deg_north,deg_east, ,kt,mb,deg_north,deg_east, ,kt,mb,deg_north,deg_east, ,kt,mb,deg_north,deg_east, ,kt,mb,deg_north,deg_east, ,kt,mb,deg_north,deg_east, ,kt,mb,deg_north,deg_east, ,kt,mb,deg_north,deg_east, ,kt,mb,deg_north,deg_east, ,kt,mb,deg_north,deg_east, ,kt,mb,deg_north,deg_east, ,kt,mb,deg_north,deg_east, ,kt,mb,nmile,nmile,nmile,nmile,nmile,nmile,nmile,nmile,nmile,nmile,nmile,nmile,nmile,nmile,mb,nmile,nmile,nmile,nmile,nmile,nmile,nmile,nmile,nmile,nmile,nmile,nmile,nmile,nmile,Quad,nmile,nmile,Quad,nmile,nmile,nmile,mb,nmile,nmile,nmile,nmile,nmile,nmile,nmile,nmile,nmile,nmile,nmile,nmile,nmile,nmile
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diff --git a/hurricane_data.pkl b/hurricane_data.pkl
new file mode 100644
index 00000000..af08387c
Binary files /dev/null and b/hurricane_data.pkl differ
diff --git a/hurricane_data_old.pkl b/hurricane_data_old.pkl
new file mode 100644
index 00000000..2a28f12d
Binary files /dev/null and b/hurricane_data_old.pkl differ
diff --git a/old_map.py b/old_map.py
new file mode 100644
index 00000000..f131c207
--- /dev/null
+++ b/old_map.py
@@ -0,0 +1,111 @@
+"""old_map.py contains the code that was written while testing out python geoplotlib library. The map feature in
+bokeh was eventually used, but geoplotlib is another useful interactive map that could be useful in the future. Make
+sure to have geoplotlib, pandas, and numpy installed before running. The script can be run just by typing "python
+old_map.py in the terminal". If you have any questions feel free to email cassandra.overney@students.olin.edu."""
+
+import geoplotlib
+import pandas as pd
+from geoplotlib.core import BatchPainter
+from geoplotlib.layers import HotspotManager
+from geoplotlib.utils import DataAccessObject, BoundingBox
+from geoplotlib import layers as layers
+import numpy as np
+
+class LineLayer(layers.BaseLayer):
+ """
+ Draws line connecting points in hurricane path
+ """
+ def __init__(self, data, num, color=None, point_size=2, linewidth=1, f_tooltip=None):
+ """
+ Creates a LineLayer for the python geoplotlib library
+ :param data: DataAccessObject of latitudes and longitudes
+ :param num: number of data points in dat
+ :param color: color of lines, just to red if none
+ :param point_size: size of points
+ :param linewidth: width of lines
+ :param f_tooltip: an attribute of geoplotlib's BaseLayer that is not used
+ """
+ self.data = data
+ self.indexlst = num
+ self.color = color
+ if self.color is None:
+ self.color = [255, 0, 0]
+ self.point_size = point_size
+ self.f_tooltip = f_tooltip
+ self.linewidth = linewidth
+ self.hotspots = HotspotManager()
+
+ def invalidate(self, proj):
+ """
+ This method is called each time layers need to be redrawn, i.e. on zoom.
+ Typically in this method a BatchPainter is instantiated and all the rendering is performed
+
+ :param proj: the current Projector object
+ """
+ self.painter = BatchPainter()
+ self.painter.set_color(self.color)
+
+ x1, y1 = proj.lonlat_to_screen(self.data['lon'], self.data['lat'])
+ self.painter.points(x1, y1, 2 * self.point_size, False)
+ for i in self.indexlst:
+ if i < len(self.data['lon']) - 1:
+ x1 = self.data['lon'][i]
+ y1 = self.data['lat'][i]
+ x2 = self.data['lon'][i+1]
+ y2 = self.data['lat'][i+1]
+ x1, y1 = proj.lonlat_to_screen(x1, y1)
+ x2, y2 = proj.lonlat_to_screen(x2, y2)
+ self.painter.lines(x1, y1, x2, y2, width=self.linewidth)
+
+ if self.f_tooltip:
+ for i in range(0, len(x1)):
+ record = {k: self.data[k][i] for k in self.data.keys()}
+ self.hotspots.add_rect(x1[i] - self.point_size, y1[i] - self.point_size,
+ 2 * self.point_size, 2 * self.point_size,
+ self.f_tooltip(record))
+
+
+ def draw(self, proj, mouse_x, mouse_y, ui_manager):
+ """
+ This method is called at every frame, and typically executes BatchPainter.batch_draw()
+ :param proj: the current Projector object
+ :param mouse_x: mouse x
+ :param mouse_y: mouse y
+ :param ui_manager: the current UiManager
+ """
+ self.painter.batch_draw()
+ picked = self.hotspots.pick(mouse_x, mouse_y)
+ if picked:
+ ui_manager.tooltip(picked)
+
+ def bbox(self):
+ """
+ Return the bounding box for this layer
+ """
+ return BoundingBox.from_points(lons=self.data['lon'], lats=self.data['lat'])
+
+ def on_key_release(self, key, modifiers):
+ """
+ Override this method for custom handling of keystrokes
+ :param key: the key that has been released
+ :param modifiers: the key modifiers
+ :return: True if the layer needs to call invalidate
+ """
+ return False
+
+if __name__ == '__main__':
+ # TESTING plots a few hurricane paths using the python geoplotlib library
+ df = pd.read_csv("simpdata.csv", low_memory=False)
+ # names = df.dtypes.index
+ # print(names)
+ lat = df['Latitude_for_mapping']
+ long = df['Longitude_for_mapping']
+ # print("lat", (lat[0]))
+ # print("long", long)
+ numindex = np.arange(long.size)
+ # print(numlong)
+ # print(numlat)
+ lst = DataAccessObject({'lon': long, 'lat': lat})
+ # print(lst)
+ geoplotlib.add_layer(LineLayer(lst, numindex))
+ geoplotlib.show()
\ No newline at end of file
diff --git a/proposal.md b/proposal.md
new file mode 100644
index 00000000..f58f4df9
--- /dev/null
+++ b/proposal.md
@@ -0,0 +1,7 @@
+Hurricane Cat Map Project Proposal
+
+The main idea of our project is to consolidate the hurricane information on NOAA into one interactive map where users can track specific hurricanes by location and year. Our minimum viable product will display all of the hurricane paths in the NOAA database and when the user hovers over one path, more information about the hurricane would appear. We could also add in a slider for year. Our stretch goal involves inputting more data about each hurricane in the form of pictures and other statistics (wind speed and severity).
+
+Our collective learning goals include pair programming, exploring map visualization, and learning more about all the components that would go into a larger application. Cassandra’s goals involve using object oriented programming and the model-view-user-controller process. Libby’s goals are to learn more about the benefits of object oriented programming, and about using libraries like pygame and bokeh. We will be using the Python Bokeh library for our data visualization. We plan to create our minimum viable product by the mid-project check-in unless significant complications arise.
+
+The biggest risks to us being successful on this project are our lack of understanding on the Bokeh library and annoying bugs that always arise while programming. For the first risk, we will be looking through a Bokeh tutorial to become more familiar with that library.
diff --git a/simpdata.csv b/simpdata.csv
new file mode 100644
index 00000000..c4130b76
--- /dev/null
+++ b/simpdata.csv
@@ -0,0 +1,5610 @@
+N/A,Season,Num,Basin,Sub_basin,Name,ISO_time,Nature,Latitude,Longitude,Wind(WMO),Pres(WMO),Center,Wind(WMO) Percentile,Pres(WMO) Percentile,Track_type,Latitude_for_mapping,Longitude_for_mapping,Current Basin,hurdat_atl_lat,hurdat_atl_lon,hurdat_atl_grade,hurdat_atl_wind,hurdat_atl_pres,td9636_lat,td9636_lon,td9636_grade,td9636_wind,td9636_pres,reunion_lat,reunion_lon,reunion_grade,reunion_wind,reunion_pres,atcf_lat,atcf_lon,atcf_grade,atcf_wind,atcf_pres,mlc_natl_lat,mlc_natl_lon,mlc_natl_grade,mlc_natl_wind,mlc_natl_pres,ds824_sh_lat,ds824_sh_lon,ds824_sh_grade,ds824_sh_wind,ds824_sh_pres,ds824_ni_lat,ds824_ni_lon,ds824_ni_grade,ds824_ni_wind,ds824_ni_pres,bom_lat,bom_lon,bom_grade,bom_wind,bom_pres,ds824_au_lat,ds824_au_lon,ds824_au_grade,ds824_au_wind,ds824_au_pres,jtwc_sh_lat,jtwc_sh_lon,jtwc_sh_grade,jtwc_sh_wind,jtwc_sh_pres,jtwc_wp_lat,jtwc_wp_lon,jtwc_wp_grade,jtwc_wp_wind,jtwc_wp_pres,td9635_lat,td9635_lon,td9635_grade,td9635_wind,td9635_pres,ds824_wp_lat,ds824_wp_lon,ds824_wp_grade,ds824_wp_wind,ds824_wp_pres,jtwc_io_lat,jtwc_io_lon,jtwc_io_grade,jtwc_io_wind,jtwc_io_pres,cma_lat,cma_lon,cma_grade,cma_wind,cma_pres,hurdat_epa_lat,hurdat_epa_lon,hurdat_epa_grade,hurdat_epa_wind,hurdat_epa_pres,jtwc_ep_lat,jtwc_ep_lon,jtwc_ep_grade,jtwc_ep_wind,jtwc_ep_pres,ds824_ep_lat,ds824_ep_lon,ds824_ep_grade,ds824_ep_wind,ds824_ep_pres,jtwc_cp_lat,jtwc_cp_lon,jtwc_cp_grade,jtwc_cp_wind,jtwc_cp_pres,tokyo_lat,tokyo_lon,tokyo_grade,tokyo_wind,tokyo_pres,neumann_lat,neumann_lon,neumann_grade,neumann_wind,neumann_pres,hko_lat,hko_lon,hko_grade,hko_wind,hko_pres,cphc_lat,cphc_lon,cphc_grade,cphc_wind,cphc_pres,wellington_lat,wellington_lon,wellington_grade,wellington_wind,wellington_pres,newdelhi_lat,newdelhi_lon,newdelhi_grade,newdelhi_wind,newdelhi_pres,nadi_lat,nadi_lon,nadi_grade,nadi_wind,nadi_pres,reunion_rmw,reunion_wind_radii_1_ne,reunion_wind_radii_1_se,reunion_wind_radii_1_sw,reunion_wind_radii_1_nw,reunion_wind_radii_2_ne,reunion_wind_radii_2_se,reunion_wind_radii_2_sw,reunion_wind_radii_2_nw,bom_mn_hurr_xtnt,bom_mn_gale_xtnt,bom_mn_eye_diam,bom_roci,atcf_rmw,atcf_poci,atcf_roci,atcf_eye,atcf_wrad34_rad1,atcf_wrad34_rad2,atcf_wrad34_rad3,atcf_wrad34_rad4,atcf_wrad50_rad1,atcf_wrad50_rad2,atcf_wrad50_rad3,atcf_wrad50_rad4,atcf_wrad64_rad1,atcf_wrad64_rad2,atcf_wrad64_rad3,atcf_wrad64_rad4,tokyo_dir50,tokyo_long50,tokyo_short50,tokyo_dir30,tokyo_long30,tokyo_short30,jtwc_??_rmw,jtwc_??_poci,jtwc_??_roci,jtwc_??_eye,jtwc_??_wrad34_rad1,jtwc_??_wrad34_rad2,jtwc_??_wrad34_rad3,jtwc_??_wrad34_rad4,jtwc_??_wrad50_rad1,jtwc_??_wrad50_rad2,jtwc_??_wrad50_rad3,jtwc_??_wrad50_rad4,jtwc_??_wrad64_rad1,jtwc_??_wrad64_rad2,jtwc_??_wrad64_rad3,jtwc_??_wrad64_rad4
+2015204N16247,2015,8, EP, MM,FELICIA,2015-07-22 12:00:00, DS,15.9,-113.4,30,1006,atcf,17.645,26.919,main,15.9,-113.4,EP,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,15.9,-113.4,-999,30,1006,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,15.9,-113.4,-999,30,1006,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,60,1012,175,0,0,0,0,0,0,0,0,0,0,0,0,0,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999,-999
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