我试图在 plotly 的同一个图中绘制条形图和散点图,但它只显示散点图。
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'
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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)
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Pou*_*del 13
尝试这个:
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)
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