试图用简单的数字数据渲染美国县地图。此代码无法呈现几种状态：
from urllib.request import urlopen
import json
import requests
import os
import pandas as pd
import plotly.express as px
with urlopen('https://raw.githubusercontent.com/plotly/datasets/master/geojson-counties-fips.json') as response:
counties = json.load(response)
tsfile = 'time_series_covid19_confirmed_US.csv'
tsurl = 'https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/' + tsfile
if not os.path.exists(tsfile):
req = requests.get(tsurl)
with open(tsfile, 'wb') as f:
f.write(req.content)
ts = pd.read_csv(tsfile)
ts.dropna(inplace=True)
ts = ts[ts['FIPS'] < 80000].copy(deep=True)
ts_short = ts[['FIPS', '5/9/20', '5/10/20']].copy(deep=True)
ts_short['delta'] = ts_short['5/10/20'] - ts_short['5/9/20']
ts_short = ts_short[ts_short['delta'] >= 0].copy(deep=True)
dmin = ts_short['5/10/20'].min()
dmax = ts_short['5/10/20'].max()
fig = px.choropleth(ts_short, geojson=counties, locations='FIPS', color='5/10/20',
color_continuous_scale="Viridis",
range_color=(dmin, dmax),
scope="usa"
)
fig.update_layout(margin={"r":0,"t":0,"l":0,"b":0})
fig.show()
这就是渲染的内容（无论如何颜色似乎都是错误的）：
但是，替代方法 create_choropleth() 可以很好地处理相同的数据：
import plotly.figure_factory as pff
fig2 = pff.create_choropleth(fips=ts_short['FIPS'], values=ts_short['5/10/20'])
fig2.show()
如何对 choropleth() 进行故障排除？
情节 4.6.0
Python 3.7.7
Jupyter 笔记本
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