I was trying to plot barplot and scatterplot in the same plot in plotly, but it shows only scatterplot.

如何显示两个图?

import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
from matplotlib.ticker import PercentFormatter

import plotly
import plotly.offline as py
import plotly.graph_objs as go
import plotly.figure_factory as ff
import plotly.tools as tls
from plotly.subplots import make_subplots
from plotly.offline import plot, iplot, init_notebook_mode
init_notebook_mode(connected=False)

df = pd.DataFrame({
            'price': [ 4.0, 17.0, 7.0, 7.0, 2.0, 1.0, 1.0],
            'item': ['apple', 'banana', 'carrot', 'plum',
                    'orange', 'date', 'cherry']})

df = df.sort_values(num,ascending=False)
df['cumulative_sum'] = df[num].cumsum()
df['cumulative_perc'] = 100*df['cumulative_sum']/df[num].sum()

df['demarcation'] = 80


num = 'price'
cat = 'item'
title = 'Pareto Chart'

代码

trace1 = go.Bar(
    x=df[cat],
    y=df[num],
    name=num,
    marker=dict(
        color='rgb(34,163,192)'
               )
)
trace2 = go.Scatter(
    x=df[cat],
    y=df['cumulative_perc'],
    name='Cumulative Percentage',
    yaxis='y2',

)

data = [trace1,trace2]

fig = dict(data=data)
iplot(fig)

输出

• 同时显示条形图和散点图
• 左侧 y 轴上的条形图 y 刻度
• 右侧 y 轴上的散点图 y 刻度
• xticklabels 旋转 90 度

解决方案

试试这个:

import plotly.graph_objects as go
from plotly.subplots import make_subplots

trace1 = go.Bar(
    x=df[cat],
    y=df[num],
    name=num,
    marker=dict(
        color='rgb(34,163,192)'
               )
)
trace2 = go.Scatter(
    x=df[cat],
    y=df['cumulative_perc'],
    name='Cumulative Percentage',
    yaxis='y2'

)

fig = make_subplots(specs=[[{"secondary_y": True}]])
fig.add_trace(trace1)
fig.add_trace(trace2,secondary_y=True)
fig['layout'].update(height = 600, width = 800, title = title,xaxis=dict(
      tickangle=-90
    ))
iplot(fig)

给，