Python plotly scatter_geo 修改悬停数据
问题描述
我想修改悬停数据并将其留给例如只有 bins
数据.我做了以下代码,但 hover_data
参数不起作用.修改har数据的方法是什么?
I want to modify hover data and leave ther for e.g. only bins
data.
I made following code, but hover_data
parameter didn't work. What is the way to modify haver data?
import plotly.express as px
import plotly.graph_objs as go
import pandas as pd
rows=[['501-600','15','122.58333','45.36667'],
['till 500','4','12.5','27.5'],
['more 1001','41','-115.53333','38.08'],
]
colmns=['bins','data','longitude','latitude']
df=pd.DataFrame(data=rows, columns=colmns)
df = df.astype({"data": int})
fig=px.scatter_geo(df,lon='longitude', lat='latitude',
color='bins',
opacity=0.5,
size='data',
projection="natural earth", hover_data=(['bins']))
fig.add_trace(go.Scattergeo(lon=df["longitude"],
lat=df["latitude"],
text=df["data"],
textposition="middle center",
mode='text',
showlegend=False))
fig.show()
解决方案
scatter_geo 的 hover_data 参数可以参考如下.
you can mention as below for hover_data argument of scatter_geo.
import plotly.express as px
import plotly.graph_objs as go
import pandas as pd
rows=[['501-600','15','122.58333','45.36667'],
['till 500','4','12.5','27.5'],
['more 1001','41','-115.53333','38.08'],
]
colmns=['bins','data','longitude','latitude']
df=pd.DataFrame(data=rows, columns=colmns)
df = df.astype({"data": int})
fig=px.scatter_geo(df,lon='longitude', lat='latitude',
color='bins',
opacity=0.5,
size='data',
projection="natural earth", hover_data={'longitude':False,'latitude':False,'data':False})
fig.add_trace(go.Scattergeo(lon=df["longitude"],
lat=df["latitude"],
text=df["data"],
textposition="middle center",
mode='text',
showlegend=False))
fig.show()
在 hover_data 中将列名设置为 False 将从 hover_data 中删除该列名.希望这能回答您的问题.
Setting the columns name as False in hover_data will remove that column name from hover_data. Hope this answers your question.
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