[英]Python_Function for customdata hover in plotly lib
In the code below I tried to use customdata to make hovertemplate, but in this case on visualization it shows only data from the first row everywhere.在下面的代码中,我尝试使用 customdata 来制作悬停模板,但在这种情况下,在可视化上它只显示第一行的数据。 I believe there should be function, but don't know how to implement it.
相信应该有function,但是不知道怎么实现。
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")
new_customdata = df.loc[:,('bins', 'data')]
fig.update_traces(go.Scattergeo(
customdata=new_customdata,
hovertemplate="<b>%{customdata[0]} </b><br><br>" + \
"blablabla: %{customdata[1]: .3f}<extra></extra>"))
fig.show()
I believe this does what you're looking for:我相信这可以满足您的需求:
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 = go.Figure(data=go.Scattergeo(
lon = df['longitude'],
lat = df['latitude'],
mode = 'markers',
marker_color = df.index,
marker_size=df['data'],
customdata = df,
hovertemplate="<b>%{customdata[0]} </b><br><br>blablabla: %{customdata[1]: .3f}<extra></extra>"
))
fig.show()
The result is (there's different hover text for each item):结果是(每个项目都有不同的 hover 文本):
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