from police_api.api import API as POLICE_API
from development_district import district
from development_district import max_lat
from development_district import min_lat
from development_district import max_lng
from development_district import min_lng
from development_district import centre_lat
from development_district import centre_lng
from development_district import distance
police_api = POLICE_API()
import simplekml
import zipfile
kml = simplekml.Kml()
point = []
icon_style = ['images/icon-23.png']
results = police_api.get_street_level_crimes(centre_lat, centre_lng, distance)
for crime in results:
if (float(crime['location']['latitude']) <= max_lat) and (float(
crime['location']['latitude']) >= min_lat) and (float(
crime['location']['longitude']) <= max_lng) and (float(
crime['location']['longitude']) >= min_lng):
if crime['category'] == 'other-crime':
point = kml.newpoint()
point.name = crime['category']
point.description = crime['month']
point.coords = [(crime['location']['longitude'],
from development_district import coordinates from development_district import households from development_district import max_lat from development_district import min_lat from development_district import max_lng from development_district import min_lng from development_district import centre_lat from development_district import centre_lng from development_district import distance import datetime import matplotlib.pyplot as plt import numpy as np import json y_pos = np.arange(len(wards[0])) police_api = POLICE_API() doogal_api = DOOGAL_API() postcodes_api = POSTCODE_API() import simplekml import zipfile kml = simplekml.Kml() today = datetime.date.today() pol = [] colour_scale = [] price_plot = [] icon_style = ['images/icon-14.png'] burglary_count = np.array([0] * len(wards[0])) burglary_percentage = [] yaxis = [] xaxis = []