apurva and louise submitting interactiveprogramming

README.md

@@ -1,2 +1,5 @@
 # InteractiveProgramming
-This is the base repo for the interactive programming project for Software Design, Spring 2016 at Olin College.
+This is the repo for an interactive map of queer resources in Massachusetts.
+To run:
+Have view_pandas.py, model_pandas.py, and test.csv in the same directory.
+Run view_pandas.py.

model_pandas.py

@@ -0,0 +1,55 @@
+"""
+This part of the code comprises the model portion of model-view-controller.
+It takes in a filename, which is a csv file with information about resources for queer youth in MA.
+It outputs a pandas DataFrame.
+
+@author: Louise Nielsen and Apurva Raman
+         nielsenlouise@github.com, apurvaraman@github.com
+"""
+
+from pandas import *
+from bokeh.plotting import ColumnDataSource as plotColumnDataSource
+
+
+class Model(object):
+    """A Model() object contains a pandas.DataFrame of resources.
+    """
+
+    def __init__(self, source=None, filename='test.csv', frame=None):
+        self.source = source
+        self.filename = filename
+        if frame is None:
+            self.frame = DataFrame(read_csv(self.filename))
+        else:
+            self.frame = frame
+
+    def set_color(self):
+        """Sets colors for each glyph based on category. Defines attributes for each glyph.
+        """
+        colormap = {'health': 'red',
+                    'support': 'green',
+                    'housing': 'blue',
+                    'advocacy': 'purple',
+                    'legal': 'cyan'
+                    }
+        self.frame['color'] = self.frame['Category'].map(lambda x: colormap[x])
+        self.source = plotColumnDataSource(dict(
+                                      name=self.frame['Name'],
+                                      lat=self.frame['Lat'],
+                                      lon=self.frame['Lon'],
+                                      address=self.frame['Address'],
+                                      category=self.frame['Category'],
+                                      color=self.frame['color']))
+
+    def update_model(self):
+        """This is going to update the model, probably has to filter things.
+
+        We did not have time before the due date to implement buttons and
+        filtering, which was the intent of this.
+        """
+        pass  # TODO: Implement this.
+
+if __name__ == '__main__':
+    thing = Model()
+    thing.set_color
+    print thing.frame

playing_with_packages/csv_read_for_pandas.py

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+import pandas as pd
+
+print pd.read_csv('test_bokeh_data.csv')

playing_with_packages/google_maps_stuff.py

@@ -0,0 +1,51 @@
+from bokeh.models import HoverTool
+from bokeh.plotting import figure
+from bokeh.plotting import ColumnDataSource as plotColumnDataSource
+from bokeh.io import output_file, show
+from bokeh.models import (
+  GMapPlot, GMapOptions, ColumnDataSource, Circle, DataRange1d, PanTool, WheelZoomTool, BoxSelectTool
+)
+
+map_options = GMapOptions(lat=42.3601, lng=-71.0589, map_type="roadmap", zoom=9)
+
+plot = GMapPlot(
+    x_range=DataRange1d(), y_range=DataRange1d(), map_options=map_options, title="Massachusetts"
+)
+
+# source = ColumnDataSource(
+#    data=dict(
+#        lat=[42.3601, 42.2926],
+#        lon=[-71.0589, -71.2644],
+#    )
+# )
+
+data=dict(
+    x=[-71.0589, -71.2644],
+    y=[42.3601, 42.2926],
+    name=['Boston', 'Olin'],
+    address=['Boston Rite Aid', 'Olin The Awesomest']
+)
+source = plotColumnDataSource(data)
+
+colormap = {'Boston': 'blue', 'Olin': 'green'}
+colors = {colormap[x] for x in data['name']}
+circle = Circle(x="x", y="y", size=15, fill_color=colors, fill_alpha=0.8)
+plot.add_glyph(source, circle)
+
+# TOOLS="pan,wheel_zoom,box_zoom,reset,hover,save"
+
+# p = figure(title="Our Map", tools=TOOLS)
+
+plot.add_tools(PanTool(), WheelZoomTool(), BoxSelectTool(), HoverTool())
+
+hover = plot.select_one(HoverTool)
+hover.point_policy = "follow_mouse"
+hover.tooltips = [
+    ('Name', '@name'),
+    ('Title', '@address')
+#    ("(Long, Lat)", "($x, $y)"),
+]
+
+# plot.add_tools(PanTool(), WheelZoomTool(), BoxSelectTool(), hover())
+output_file("gmap_plot.html")
+show(plot)