Python plotly_change marker's color

Question

I want to customise marker colors and for yhis reason I made SetColor function. But it change only names in legend, but not colors in the visualization. How to fix it?

import plotly.express as px
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})

def SetColor(x):
        if(x == '501-600'):
            return "steelblue"
        elif(x == 'till 500'):
            return "mintcream"
        elif(x == 'more 1001'):
            return "palegoldenrod"

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

fig.update_traces(marker=dict(symbol='octagon',
                                line=dict(width=0)))

fig.show()

ananyamous · Accepted Answer · 2020-05-21 13:22:30Z

The color parameter in scatter_geo refers to the column of categories, not the colors you want to pick. so you should set the color='bins' and add a new parameter, 'color_discrete_sequence' with the specific colors you want. See below for the code and result:

import plotly.express as px
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})

# def SetColor(x):
#         if(x == '501-600'):
#             return "steelblue"
#         elif(x == 'till 500'):
#             return "mintcream"
#         elif(x == 'more 1001'):
#             return "palegoldenrod"

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

fig.update_traces(marker=dict(symbol='octagon',
                                line=dict(width=0)))

fig.show()

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