How to plot grouped bar chart with multiple y axes in python plotly

Question

I need to plot a grouped bar chart with two y axes and one x axis. The plot looks like the following if drawn in matplotlib

I want it by python plotly but I could not find a solution. There seems to be a similar question two years ago

https://stackoverflow.com/questions/29046057/plotly-grouped-bar-chart-with-multiple-axes

but did not work when I tried to do it similarly.

Here is the code snippet that I tested:

import plotly
import plotly.graph_objs as go
import numpy as np
import pandas as pd
from io import StringIO

s = StringIO("""     amount     price
A     40929   4066443
B     93904   9611272
C    188349  19360005
D    248438  24335536
E    205622  18888604
F    140173  12580900
G     76243   6751731
H     36859   3418329
I     29304   2758928
J     39768   3201269
K     30350   2867059""")

df = pd.read_csv(s, index_col=0, delimiter=' ', skipinitialspace=True)

plotly.offline.plot({
    "data": [go.Bar(x=df.index, y=df.price, name="price"),
             go.Bar(x=df.index, y=df.amount, name="amount", yaxis='y2'),
             ],
    "layout": go.Layout(title="Amount and price", 
                        yaxis=dict(
                            title='price',
                            autorange = True,
                            range = [0, max(df.price)],
                        ),
                        yaxis2=dict(
                            title='amount',
                            autorange = True,
                            range = [0, max(df.amount)],
                                overlaying='y',
                                side='right'                                
                        ),           
                        barmode='group',
                        autosize=True),
})

please note that I gave barmode='group' but this does not take effect.

Answer 1

Use secondary_y :

df.plot.bar(secondary_y=['price'])

Output: