我正在尝试使用plotly.express
创建一个Choropleth。该图可以加载,但仅显示一种颜色。我可以将鼠标悬停在每个功能上,并且它会显示相关信息,但不会以可变颜色显示。这意味着它正在读取geojson,但显示不正确。 u/geds133 had the same issue,但由于声誉低下,我无法与其联系或发表评论。
这是我的“预测” df:
import pandas as pd
predictions = pd.read_csv("Predictions_DF_2002.csv")
predictions.head()
huc12 Predicted PRBT Std
170102120304 30.677075 23.348831
170102120603 31.362211 23.784001
90400010201 5.697461 7.688427
100301040401 3.493039 5.36472
170101011208 4.421055 11.924093
我正在尝试将DataFrame与geojson文件中的属性进行匹配:
#Read in geojson
import geopandas as gpd
import json
hucs = gpd.read_file(~/"HUC.geojson")
#Populate hucs['properties'] (i.e. convert to plotly-readible geojson-type)
hucs = json.loads(hucs.to_json())
#Print Properties for sanity check
print(hucs['features'][0]['properties'])
#...<a bunch of stuff we don't care about>
{'huc12':170102120304}
#...
因此,我可以使用featureidkey
参数来指定the docs中所写的locations
值的匹配位置。这是我用来创建choropleth的代码:
fig = px.choropleth(predictions,
geojson=hucs, color='Predicted PRBT',
locations='huc12', featureidkey='properties.huc12',
color_continuous_scale="Viridis", labels={'Predicted PRBT':'Predicted % RBT'})
fig.update_geos(fitbounds="locations",visible=False)
fig.show()
这是输出显示的内容。请注意,将鼠标悬停在屏幕上会显示相关信息:
我的geojson和csv可以下载here。
答案 0 :(得分:2)
在绘制之前必须先解开geojson:
#Read in geojson
import geopandas as gpd
import json
hucs = gpd.read_file(~/"HUC.geojson")
#Populate hucs['properties'] (i.e. convert to plotly-readible geojson-type)
hucs = json.loads(hucs.to_json())
from geojson_rewind import rewind
hucs_rewound = rewind(hucs,rfc7946=False)
fig = px.choropleth(predictions,
geojson=hucs_rewound, color='Predicted PRBT',
locations='huc12', featureidkey='properties.huc12',
color_continuous_scale="Viridis", labels={'Predicted PRBT':'Predicted % RBT'})
fig.update_geos(fitbounds="locations",visible=False)
fig.show()
请参见https://github.com/plotly/plotly.py/issues/2354#issuecomment-638742767 和https://github.com/plotly/plotly.py/issues/2619