Sorting grouped bar plots dependently (each traces) in Plotly

📊 Plotly Python
1

Hi, I want to sort my grouped bar plots one-by-one in descending (question on StackOverflow) but didn’t find any solution, is this possible? (I’ve found that sorting particular traces is not possible).
Want to sort players first by their Weight, then by Height, and so on…

5xaWa
5xaWa1200×1297 29.7 KB

My Code

import pandas as pd
import numpy as np
import plotly.graph_objects as go

dftst = pd.DataFrame([('Arthur', 110, 200, 10),
                   ('Benson', 50, 160, 12),
                   ('Carlos', 90, 170, 14),
                   ('Dante', 160, 180, 11),
                   ('Evan', 130, 165, 18),
                   ('Frank', 70, 190, 20)],
           columns=('Name', 'Weight', 'Height', 'Score'))

pnames = dftst['Name']
x = list(range(len(pnames)))

bar_plots = [
  go.Bar(x=x, y=dftst['Weight'], name='Weight', marker=go.bar.Marker(color='#0343df')),
  go.Bar(x=x, y=dftst['Height'], name='Height', marker=go.bar.Marker(color='#e50000')),
  go.Bar(x=x, y=dftst['Score'], name='Score', marker=go.bar.Marker(color='green')),
]

layout = go.Layout(
  title=go.layout.Title(text="Players", x=0.5),
  yaxis_title="Players Details",
  xaxis_tickmode="array",
  xaxis_tickvals=list(range(6)),
  xaxis_ticktext=tuple(dftst['Name'].values))

fig = go.Figure(data=bar_plots, layout=layout)

fig.update_layout(
    autosize=False,
    width=600,
    height=700)

fig.update_layout(barmode='group', xaxis={'categoryorder':'category ascending'})

fig.update_xaxes(
    showgrid=True,
    ticks="outside",
    tickson="boundaries",
    ticklen=20
)

fig.show()