Meteors

Markers color

#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. I believe there should be function, but don't know how to implement it.

import plotly.express as px
import plotly.graph_objs as go
import pandas as pd

rows=[['501-600','15','122.58333','45.36667','slategray'],
      ['till 500','4','12.5','27.5','teal'],
      ['more 1001','41','-115.53333','38.08','whitesmoke'],
      ]

colmns=['bins','data','longitude','latitude','color']
df=pd.DataFrame(data=rows, columns=colmns)
df = df.astype({"data": int})
# df['colors'] = pd.cut(df['bins'], ['501-600', 'till 500', 'more 1001', 1950, 2100],
#                     labels=['till 1810', '1811-1880', '1881-1950', 'more than 1950'])
# 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 = go.Figure(data=go.Scattergeo(
    lon = df['longitude'],
    lat = df['latitude'],
    mode = 'markers',
    marker_size=df['data'],
    marker=dict(
        # size=df_sub['pop'] / scale,
        color=df['color'],
        line_color='rgb(40,40,40)',
        line_width=0.5,
        sizemode='area'
    ),
    customdata = df,
    hovertemplate="<b>%{customdata[0]} </b><br><br>blablabla: %{customdata[1]: .3f}<extra></extra>"

))
fig.show()