Python plotly_Connection标记，在行内带有标签 [英] Python plotly_Connection markers with labels within line

问题描述

在下面的代码中，我有标记标签. 现在，我想制作将标记的中心与文本连接起来的线(请参见下图).

In the code below I have marker labels. Now I want to make lines which connect center of markers with text (see pic below).

制作方法是什么?

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")

fig.update_traces(hovertemplate ='bins')

fig.add_trace(go.Scattergeo(lon=df["longitude"],
              lat=df["latitude"],
              text=df["data"],
              textposition="middle right",
              mode='text',
              showlegend=False))
fig.show()

如果您在经度上加10，则在地球上会出现反射平行线的弧线.大规模显示，或者在代码中添加更大的数字时，它是非常明显的.

In case you added 10 to the longitude, there appered arcs reflecting parallels on the globe. It's very visible on big scale or whent you add bigger figures in code.

推荐答案

查看> c0>选项我不知道如何在地图中使用update_layout.我想到的是在距点一定距离处添加标签(这里，我在经度上添加了10)，然后手动添加线.见下文；

Looking at the annotations options I couldn't figure out how to use update_layout within the maps. What I think of was adding the labels at some distance (here, I added 10 to the longitude) from the points and then adding the lines manually. See below;

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})
df = df.astype({"longitude": float})
df = df.astype({"latitude": float})

fig=px.scatter_geo(df,lon='longitude', lat='latitude',
                      color='bins',
                      opacity=0.5,
                      size='data',
                      projection="natural earth")

fig.update_traces(hovertemplate ='bins')


fig.add_trace(go.Scattergeo(lon=df["longitude"]+10,
              lat=df["latitude"],
              text=df["data"],
              textposition="middle right",
              mode='text',
              showlegend=False))

for i in range(len(df)):
    fig.add_trace(
        go.Scattergeo(
            lon = [df['longitude'][i], df['longitude'][i]+9],
            lat = [df['latitude'][i], df['latitude'][i]],
            mode = 'lines',
            line = dict(width = 1,color = 'red'),
            showlegend=False
        )
    )


fig.show()

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