Folium Choropleth Map 呈现灰色阴影而不是专题图的真实颜色

Question

我遇到了一个问题，我的分区统计图没有正确渲染。

我有一堆芝加哥市的叫车数据，我想按人口普查区创建一个等值线图。我检查了 geojson 文件中的 key_on 特征是 "geoid10" 并确保 Pickup Census Tracts 都匹配。

我还确保了geojson文件和dataframe中key的数据类型是一样的（都是对象）

然而，我的等值线图呈现 black/grey 色调而不是适当色调的地图。

这是我的代码：

# Import packages
import pandas as pd
import geopandas as gpd
import folium

# Load in GeoJSON file, because works with Folium
geosjon_file = "Boundaries - Census Tracts - 2010.geojson"
chicago_census_tracts = gpd.read_file(geosjon_file)

# Pickup by census tract
pickup_by_censustract = pd.read_csv("pickup_demand_by_censustract_test.csv")

# Convert Pickup Census Tract to dtype: object, as key_on object in geosjon_file is also an dtype: object
pickup_by_censustract["Pickup Census Tract"].astype(str)

# Creating Chicago map with Folium
chicago_map = folium.Map(
    location=[41.881832, -87.623177],
    zoom_start=9)
#folium.TileLayer("CartoDB positron", name="Light Map", control=False).add_to(chicago_map)

# Overlaying Chicago map with bounderies of census tracts
folium.GeoJson(chicago_census_tracts).add_to(chicago_map)

# Creating Choropleth
folium.Choropleth(
    geo_data=chicago_census_tracts,
    name="choropleth",
    data=pickup_by_censustract,
    columns=["Pickup Census Tract", "Count"],
    key_on="feature.properties.geoid10",
    fill_color="YlGn",
    fill_opacity=0.7,
    line_opacity=0.2,
    legend_name="Ride-hailing demand"
).add_to(chicago_map)

folium.LayerControl().add_to(chicago_map)
chicago_map

这是我的 Jupyter Notebook 中的当前输出：

尽管我相信我已将 key_on 特征与数据框正确匹配，但我仍然认为问题仍然在于将 geojson 文件与数据框正确匹配。

请在此处找到代码、数据和 geojson 文件： https://github.com/Doncorleone1018/Chicago-choropleth

当前python版本：3.7.4
当前 folium 版本：0.10.1

Answer 1

只需更改此行：

pickup_by_censustract["Pickup Census Tract"].astype(str)

进入：

pickup_by_censustract["Pickup Census Tract"] = pickup_by_censustract["Pickup Census Tract"].astype(str)

你得到：

Folium Choropleth Map 呈现灰色阴影而不是专题图的真实颜色

Folium Chropleth Map renders grey shading instead of true colors of the thematic map

python

python-3.x

pandas

choropleth

folium