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RegionMap.py
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RegionMap.py
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import pdb
import pandas as pd
import sys, argparse
import folium
from folium.plugins import FastMarkerCluster
import urllib
import geopandas
from csv import reader
import time
from selenium import webdriver
driver = webdriver.Chrome()
driver.set_window_size( 558, 620 )
def mapper(df, no_text=False, map_radius=1, map_opacity=.1):
'''
Display a map of the Dataframe passed in.
Based on https://medium.com/@bobhaffner/folium-markerclusters-and-fastmarkerclusters-1e03b01cb7b1
Parameters
----------
df : Dataframe
The facilities to map. They must have a FAC_LAT and FAC_LONG field.
bounds : Dataframe
A bounding rectangle--minx, miny, maxx, maxy. Discard points outside.
Returns
-------
folium.Map
'''
# Initialize the map
m = folium.Map(
location = [df["FAC_LAT"].mean(), df["FAC_LONG"].mean()]
)
# Create the Marker Cluster array
#kwargs={"disableClusteringAtZoom": 10, "showCoverageOnHover": False}
mc = FastMarkerCluster("")
# Add a clickable marker for each facility
for index, row in df.iterrows():
# pdb.set_trace()
mc.add_child(folium.CircleMarker(
location = [row["FAC_LAT"], row["FAC_LONG"]],
popup = row["NAME"],
radius = map_radius,
color = "black",
weight = 1,
fill_color = "orange",
fill_opacity= map_opacity
))
m.add_child(mc)
bounds = m.get_bounds()
m.fit_bounds(bounds)
# Show the map
return m
def usage():
print( 'Usage: RegionMaps.py -c maps_todo.csv' )
exit
def main( argv ):
parser = argparse.ArgumentParser(
prog='RegionMap.py',
description='Create PNG maps for the cds and states identified in the CSV file.'
)
parser.add_argument( "-c", "--csv_file", required=True, help="The CDS and states to map.")
my_args = parser.parse_args()
state_cds = []
with open( my_args.csv_file, 'r' ) as read_obj:
csv_reader = reader( read_obj )
raw_state_cds = list( map( tuple, csv_reader ))
state_cds = []
for state, cd in raw_state_cds:
if ( cd == '0' ):
cd = None
else:
cd = int( cd )
state_cds.append((state,cd))
# state_cds.extend( [('TX',None),] )
# state_cds.extend( [('TX',34),] )
for state, cd in state_cds:
print( 'Map for {} CD {}'.format( state, cd ))
if ( cd is None ):
# There are too many facilities in most states to successfully plot on a map.
url = "https://github.com/edgi-govdata-archiving/ECHO-Geo/raw/main/states.geojson"
filename = '{}_map'.format( state )
else:
url = "https://raw.githubusercontent.com/unitedstates/districts/gh-pages/cds/2012/{}-{}/shape.geojson".format( state, str(cd))
# f_map.fit_bounds( [[bounds.minx,bounds.miny],[bounds.maxx,bounds.maxy]] )
filename = '{}{}_map'.format( state, str(cd) )
try:
map_boundary = geopandas.read_file( url )
except ( urllib.request.HTTPError, urllib.request.URLError ):
print( 'No map for district: {}{}'.format( state, str(cd) ))
continue
if ( cd is None ):
map_boundary = map_boundary[ map_boundary['STUSPS'] == state ]
bounds = map_boundary.bounds
map_df_data = {'FAC_LAT':[bounds.miny,bounds.miny,bounds.maxy,bounds.maxy],
'FAC_LONG':[bounds.minx,bounds.maxx,bounds.minx,bounds.maxx],
'NAME':['SW','SE','NW','NE']}
map_df = pd.DataFrame( map_df_data, columns=['FAC_LAT', 'FAC_LONG', 'NAME'])
f_map = mapper(df=map_df, no_text=True)
w = folium.GeoJson( map_boundary, name = "Region Map", ).add_to( f_map )
f_map.save( '/var/www/html/EDGI/{}.html'.format( filename ))
driver.get( 'http://localhost/EDGI/{}.html'.format( filename ))
time.sleep( 6 )
driver.save_screenshot( 'Output/CD_maps/{}.png'.format( filename ))
if __name__ == "__main__":
if len(sys.argv) < 2:
usage()
else:
main(sys.argv[1])