How to overlay two plots in same figure in plotly ( Create Pareto chart in plotly )?(如何在 plotly 中覆盖同一图中的两个图(在 plotly 中创建帕累托图)?)

问题描述

我试图在同一图中绘制条形图和散点图，但它只显示散点图.

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 = "UGFyZXRvIENoYXJ0"

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

推荐答案

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，

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