python - 无边界地 block 分布

Question

我在 Python 中使用 plotly 来创建由某些分类变量着色的美国县的等值线。由于县非常小，因此图像中的边界线占主导地位。我怎样才能摆脱它们(或将它们的宽度设置为零)？

到目前为止的代码和输出(使用随机数据):

plotly :/image/G3ltp.png

from urllib.request import urlopen
import json
import numpy as np
import plotly.express as px
import pandas as pd

#Read county geography
with urlopen('https://raw.githubusercontent.com/plotly/datasets/master/geojson-counties-fips.json') as response:
    buf = response.read()
    counties = json.loads(buf.decode('utf-8'))

#Create random data
df = pd.DataFrame(np.random.randn(99999, 1),columns=["val"])
df['category']=df['val']>1
df['fips'] = list(range(1,100000))

#Graph
fig = px.choropleth(df, geojson=counties, locations='fips', color='category',
scope="usa")
fig.show()

Answer 1

以下应该有效:

fig.update_traces(marker_line_width=0)

https://community.plotly.com/t/adding-state-lines-to-county-level-geojson-based-choropleth/36269