Python 如何画出漂亮的地图？ 第1页

       import folium import pandas as pd  # define the world map world_map = folium.Map()  # display world map world_map     

       # San Francisco latitude and longitude values latitude = 37.77 longitude = -122.42  # Create map and display it san_map = folium.Map(location=[latitude, longitude], zoom_start=12)  # Display the map of San Francisco san_map     

       # Create map and display it san_map = folium.Map(location=[latitude, longitude], zoom_start=12,tiles='Stamen Toner')     

       # Read Dataset  cdata = pd.read_csv('https://cocl.us/sanfran_crime_dataset') cdata.head()     

       # get the first 200 crimes in the cdata limit = 200 data = cdata.iloc[0:limit, :]  # Instantiate a feature group for the incidents in the dataframe incidents = folium.map.FeatureGroup()  # Loop through the 200 crimes and add each to the incidents feature group for lat, lng, in zip(cdata.Y, data.X):     incidents.add_child(         folium.CircleMarker(             [lat, lng],             radius=7, # define how big you want the circle markers to be             color='yellow',             fill=True,             fill_color='red',             fill_opacity=0.4         )     )  # Add incidents to map san_map = folium.Map(location=[latitude, longitude], zoom_start=12) san_map.add_child(incidents)     

       # add pop-up text to each marker on the map latitudes = list(data.Y) longitudes = list(data.X) labels = list(data.Category)  for lat, lng, label in zip(latitudes, longitudes, labels):     folium.Marker([lat, lng], popup=label).add_to(san_map)          # add incidents to map san_map.add_child(incidents)     

       from folium import plugins  # let's start again with a clean copy of the map of San Francisco san_map = folium.Map(location = [latitude, longitude], zoom_start = 12)  # instantiate a mark cluster object for the incidents in the dataframe incidents = plugins.MarkerCluster().add_to(san_map)  # loop through the dataframe and add each data point to the mark cluster for lat, lng, label, in zip(data.Y, data.X, cdata.Category):     folium.Marker(         location=[lat, lng],         icon=None,         popup=label,     ).add_to(incidents)  # add incidents to map san_map.add_child(incidents)     

       import json import requests  url = 'https://cocl.us/sanfran_geojson' san_geo = f'{url}' san_map = folium.Map(location=[37.77, -122.4], zoom_start=12) folium.GeoJson(     san_geo,     style_function=lambda feature: {         'fillColor': '#ffff00',         'color': 'black',         'weight': 2,         'dashArray': '5, 5'     } ).add_to(san_map)  #display map san_map     

       # Count crime numbers in each neighborhood disdata = pd.DataFrame(cdata['PdDistrict'].value_counts()) disdata.reset_index(inplace=True) disdata.rename(columns={'index':'Neighborhood','PdDistrict':'Count'},inplace=True) disdata     

       m = folium.Map(location=[37.77, -122.4], zoom_start=12) folium.Choropleth(     geo_data=san_geo,     data=disdata,     columns=['Neighborhood','Count'],     key_on='feature.properties.DISTRICT',     #fill_color='red',     fill_color='YlOrRd',     fill_opacity=0.7,     line_opacity=0.2,     highlight=True,     legend_name='Crime Counts in San Francisco' ).add_to(m) m     

       from folium.plugins import HeatMap  # let's start again with a clean copy of the map of San Francisco san_map = folium.Map(location = [latitude, longitude], zoom_start = 12)  # Convert data format heatdata = data[['Y','X']].values.tolist()  # add incidents to map HeatMap(heatdata).add_to(san_map)  san_map