Possible to color individual labels for bar plot?

[kaushil]

Here is my code and how my graph looks like:

go.Bar(
            y=[wtdf[WASTE_TYPE].tolist(), wtdf[SUBSTREAM].tolist()],
            x=wtdf[WEIGHT],
            orientation='h',
            marker={'color': [clr_map_mld[clr] for clr in wtdf[WASTE_TYPE].tolist()]},
        )

My question is, is it possible to color individual labels like Reusable in yellow, recycling in green?

[hoatran]

I think you can use subplots to make it. I don’t have your data so please refer below code to make yours.

from plotly.subplots import make_subplots
import plotly.graph_objects as go
import pandas as pd
import numpy as np

df = pd.read_excel('Dtaa.xlsx')
df = df.sort_values(['PALAVRA', 'QTD_EVENTOS'], ascending=[True, True]).groupby('PALAVRA').head(10)
df3= df[df['PALAVRA']=='ponte rolante']
df4= df[df['PALAVRA']=='motorista camihao']
df5= df[df['PALAVRA']=='carga suspensa']

fig1=go.Figure(go.Bar(x=df3['QTD_EVENTOS'], 
                      y=[df3['PALAVRA'],
                         df3['ASSOCIADO']],
                      orientation='h',
                      textposition='outside',
                      text=df3['QTD_EVENTOS'],
                      marker_color='yellow'))
fig2=go.Figure(go.Bar(x=df4['QTD_EVENTOS'], 
                      y=[df4['PALAVRA'],
                         df4['ASSOCIADO']],
                      orientation='h',
                      textposition='outside',
                      text=df4['QTD_EVENTOS'],
                      marker_color='green'))
fig3=go.Figure(go.Bar(x=df5['QTD_EVENTOS'], 
                      y=[df5['PALAVRA'],
                         df5['ASSOCIADO']],
                      orientation='h',
                      textposition='outside',
                      text=df5['QTD_EVENTOS'],
                      marker_color='#c0c0c0'))
fig4 = make_subplots(rows=3, cols=1,
                    shared_xaxes=True,
                    vertical_spacing=0.01)

fig4.append_trace(fig1.data[0], row=1, col=1)
fig4.append_trace(fig2.data[0], row=2, col=1)
fig4.append_trace(fig3.data[0], row=3, col=1)
fig4.update_layout(height=600)
fig4.show()