如何在python中绘制具有多个y轴的分组条形图

时间:2018-03-07 12:35:50

标签: python bar-chart plotly multiple-axes

我需要绘制一个带有两个y轴和一个x轴的分组条形图。 如果在matplotlib中绘制,则情节如下所示

enter image description here

我想通过python情节,但我找不到解决方案。两年前似乎有一个类似的问题

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

但是当我尝试这样做时却没有用。

以下是我测试过的代码段:

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),
})

请注意我给了barmode =' group'但这没有生效。

1 个答案:

答案 0 :(得分:0)

使用secondary_y

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

输出:

enter image description here