/
RUN_ME.py
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RUN_ME.py
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import folium
from folium.plugins import MarkerCluster
import geopandas as gpd
import numpy as np
from flask import Flask, render_template
def get_data():
import get_data
def make_isochrone_layers(isochrone_data):
_5min_isos = isochrone_data[isochrone_data['value']==300]
_7min_isos = isochrone_data[isochrone_data['value']==420]
_10min_isos = isochrone_data[isochrone_data['value']==600]
_5min_layer = _5min_isos.unary_union
#_7min_layer = gpd.overlay(_7min_isos, _5min_isos, how='difference').unary_union
_7min_layer = _7min_isos.unary_union
#_10min_layer = gpd.overlay(_10min_isos, _7min_isos, how='difference').unary_union
_10min_layer = _10min_isos.unary_union
return {'5min':_5min_layer, '7min':_7min_layer, '10min':_10min_layer}
def make_market_map(market_data, isochrone_data):
m = folium.Map(location=[40.728783, -73.992320],
tiles = basemap,
zoom_start=11)
#Creating Clusters of Market Locations
market_clusters = MarkerCluster(name='Markets')
for geom, name in zip(market_data['geometry'], market_data['name']):
folium.Marker(location = [geom.y, geom.x],
popup = name,
icon = folium.Icon(prefix='fa', icon='apple',
color='white', icon_color='red')).add_to(market_clusters)
m.add_child(market_clusters)
isochron_layers = folium.map.FeatureGroup(name='Walking Time')
m.add_child(isochron_layers)
_10min = folium.plugins.FeatureGroupSubGroup(isochron_layers, '10 min.')
m.add_child(_10min)
_7min = folium.plugins.FeatureGroupSubGroup(isochron_layers, '7 min.')
m.add_child(_7min)
_5min = folium.plugins.FeatureGroupSubGroup(isochron_layers, '5 min.')
m.add_child(_5min)
_10min.add_child(folium.GeoJson(isochrone_data['10min'], name='10 min.', style_function = lambda x:
{'fillColor': '#FE9B5B',
'fillOpacity': 0.5,
'weight': 1,
'color': 'black'
}))
_7min.add_child(folium.GeoJson(isochrone_data['7min'], name='7 min.', style_function = lambda x:
{'fillColor': '#FEEB7D',
'fillOpacity': 0.5,
'weight': 1,
'color': 'black'
}))
_5min.add_child(folium.GeoJson(isochrone_data['5min'], name='5 min.', style_function = lambda x:
{'fillColor': '#CFFF91',
'fillOpacity': 0.5,
'weight': 1,
'color': 'black'
}))
folium.LayerControl(autoZIndex=True, hideSingleBase="true").add_to(m)
return m
def make_tract_map(market_data, tract_data):
m = folium.Map(location=[40.728783, -73.992320], tiles = basemap, zoom_start=11)
#Creating Clusters of Market Locations
market_clusters = MarkerCluster(name='Markets')
for geom, name in zip(market_data['geometry'], market_data['name']):
folium.Marker(location = [geom.y, geom.x],
popup = name,
icon = folium.Icon(prefix='fa', icon='apple',
color='white', icon_color='red')).add_to(market_clusters)
m.add_child(market_clusters)
folium.features.Choropleth(name='Median Income',
geo_data='Geospatial_Data/NYC_Tracts_Clipped.geojson',
data=tract_data, columns=['GEOID', 'B19049_001E'],
key_on='feature.properties.GEOID',
fill_color='Greens', legend_name='Median Income ($)').add_to(m)
folium.features.Choropleth(name='Pct. Population Nonwhite',
geo_data='Geospatial_Data/NYC_Tracts_Clipped.geojson',
data=tract_data, columns=['GEOID', 'pct_nonwhite'],
key_on='feature.properties.GEOID',
fill_color='Blues', show=False, legend_name='Pct. Nonwhite').add_to(m)
folium.features.Choropleth(name='Median Age',
geo_data='Geospatial_Data/NYC_Tracts_Clipped.geojson',
data=tract_data, columns=['GEOID', 'B01002_001E'],
key_on='feature.properties.GEOID',
fill_color='Oranges', show=False, legend_name='Median Age').add_to(m)
folium.LayerControl(autoZIndex=True, hideSingleBase="true").add_to(m)
return m
def prompt_data_refresh():
while True:
response = input("Obtain fresh data? Y/N")
if response.lower() == 'y':
get_data()
break
elif response.lower() == 'n':
break
else:
print("Please enter 'Y' or 'N'")
pass
if __name__ == '__main__':
prompt_data_refresh()
basemap = 'cartodbpositron'
try:
markets = gpd.read_file('Geospatial_Data/markets.geojson')
except:
print("No data found! Refreshing data -- please wait.")
get_data()
markets = gpd.read_file('Geospatial_Data/markets.geojson')
isochrones = gpd.read_file('Geospatial_Data/isochrones.geojson')
isochrone_data = make_isochrone_layers(isochrones)
tracts = gpd.read_file('Geospatial_Data/Tracts_with_Data.geojson')
tracts[tracts.columns[12:22]] = tracts[tracts.columns[12:22]].astype(float)
tracts[tracts.columns[22]] = tracts[tracts.columns[22]]*100
make_tract_map(markets, tracts).save('static/tracts.html')
make_market_map(markets, isochrone_data).save('static/markets.html')
#Flask starts here
app = Flask(__name__)
@app.route('/')
def index():
return render_template('index.html')
app.run(debug=False)