Choropleth 地图未在输出中显示颜色变化

Question

即使在 choropleth 与 geo_data 链接并且 data frame 与 中的 data 参数链接后，我的输出地图中也没有任何颜色变化>choropleth 方法。

我正确地提供了 "key_on" 参数和正确地提供了 "columns" 参数。我已经从 Dataframe 中删除了所有 NULL 值。

import pandas as pd
from pandas import read_csv
import folium
import os
import webbrowser

crimes = read_csv('Dataframe.csv',error_bad_lines=False)

vis = os.path.join('Community_Areas.geojson')
m = folium.Map(location = [41.878113, -87.629799], zoom_start = 10, tiles = "cartodbpositron")
m.choropleth(geo_data=vis, data = crimes, columns = ['Community Area', 'count'], fill_color = 'YlGn', key_on = 'feature.properties.area_numbe')
folium.LayerControl().add_to(m)
m.save('map.html')
webbrowser.open(filepath)

我希望是彩色的等值线图，但实际输出完全是灰色的。我将在下面的链接中添加代码、数据、输出。

代码链接：https://github.com/rahul0070/Stackoverflow_question_data

数据

,Community Area,count
0,25.0,92679
1,8.0,48751
2,43.0,47731
3,23.0,45943
4,29.0,44819
5,28.0,42243
6,71.0,40624
7,67.0,40157
8,24.0,39680
9,32.0,38513
10,49.0,37227
11,68.0,37023
12,69.0,35874
13,66.0,33877
14,44.0,32256
15,6.0,31043
16,26.0,30565
17,27.0,28113
18,61.0,27362
19,22.0,27329
20,46.0,26897
21,19.0,26198
22,30.0,24362
23,53.0,22645
24,42.0,21284
25,7.0,21047
26,1.0,19932
27,3.0,19799
28,15.0,17820
29,38.0,17660
30,2.0,17213
31,73.0,17071
32,16.0,15926
33,40.0,14943
34,58.0,14143
35,31.0,13934
36,63.0,13203
37,70.0,12980
38,35.0,12965
39,14.0,12714
40,77.0,12612
41,21.0,12587
42,75.0,11156
43,65.0,10812
44,51.0,10348
45,56.0,10176
46,4.0,9984
47,33.0,8987
48,60.0,8982
49,76.0,8938
50,20.0,8922
51,17.0,8536
52,41.0,8076
53,48.0,7823
54,5.0,7761
55,45.0,7485
56,39.0,7466
57,52.0,7150
58,54.0,6777
59,10.0,6372
60,11.0,6072
61,34.0,6053
62,62.0,5736
63,50.0,5730
64,59.0,5695
65,57.0,5244
66,64.0,5194
67,72.0,4962
68,37.0,4908
69,13.0,4570
70,36.0,3359
71,74.0,3145
72,55.0,3109
73,18.0,3109
74,12.0,2454
75,47.0,2144
76,9.0,1386

Answer 1

读取数据后发现您没有将社区区域列的数据类型转换为字符串类型，因为geojson文件包含字符串形式的键。所以键和列的数据类型应该匹配。

这里是您回答的完整解决方案

# importing libraries
import pandas as pd
from pandas import read_csv
import folium
import os
import webbrowser
# read the data
crimes = read_csv('Dataframe.csv',error_bad_lines=False)
# convert float to int then to string
crimes['Community Area'] = crimes['Community Area'].astype('int').astype('str')
# choropleth map
vis = 'Community_Areas.geojson'
m = folium.Map(location = [41.878113, -87.629799], zoom_start = 10, tiles = "cartodbpositron")
m.choropleth(geo_data=vis, data = crimes, columns = ['Community Area', 'count'], fill_color = 'YlGn', key_on = 'feature.properties.area_num_1')
folium.LayerControl().add_to(m)
m.save('map.html')
webbrowser.open('map.html')

如果您发现难以理解代码的任何部分，请发表评论。对于key_on参数你也可以试试feature.properties.area_numbe