To do my furthur analysis i want get the radius of the biggest bubble?it's better if I can get another column with a bubble radius.
Current code:
fig = px.scatter_mapbox(df, lat="GPSLat", lon="GPSLng", zoom=15, height=500,width=1000,
size="Count",color="Device",title=' All device :2021/01/08')
fig.update_layout(mapbox_style="satellite")
fig.show()
df:
Device GPSLat GPSLng Count
1001 6.8050 80.0154 9.0
1001 6.6050 80.2154 12.0
1001 6.7050 80.4154 114.0
1002 6.8050 80.0154 2.0
1001 6.5050 80.0154 2111.0
As commented, the diameter or radius will be automatically calculated and drawn. If you get the drawing data, you will see that the bubble size is based on your 'Count'.
import plotly.express as px
import pandas as pd
import numpy as np
import io
data = '''
Device GPSLat GPSLng Count
1001 6.8050 80.0154 509.0
1001 6.6050 80.2154 1200.0
1001 6.7050 80.4154 840.0
1002 6.0050 80.0154 1602.0
1001 6.5050 80.0154 2111.0
'''
df = pd.read_csv(io.StringIO(data), delim_whitespace=True)
import plotly.express as px
px.set_mapbox_access_token(open("mapbox_api_key.txt").read())
fig = px.scatter_mapbox(df,
lat="GPSLat",
lon="GPSLng",
hover_name='Device',
height=500, width=1000,
zoom=8,
size="Count",
color="Count",
title=" All device :2021/01/08",
mapbox_style='satellite')
fig.show()
fig.data
(Scattermapbox({
'hovertemplate': ('<b>%{hovertext}</b><br><br>Cou' ... 'r>GPSLng=%{lon}<extra></extra>'),
'hovertext': array([1001., 1001., 1001., 1002., 1001.]),
'lat': array([6.805, 6.605, 6.705, 6.005, 6.505]),
'legendgroup': '',
'lon': array([80.0154, 80.2154, 80.4154, 80.0154, 80.0154]),
'marker': {'color': array([ 509., 1200., 840., 1602., 2111.]),
'coloraxis': 'coloraxis',
'size': array([ 509., 1200., 840., 1602., 2111.]),
'sizemode': 'area',
'sizeref': 5.2775},
'mode': 'markers',
'name': '',
'showlegend': False,
'subplot': 'mapbox'
}),)
# marker size
fig.data[0]['marker']['size']
array([ 509., 1200., 840., 1602., 2111.])