我试图在同一图中绘制barplot和scatterplot,但仅显示散点图。
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'
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)
尝试makeplots:
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, 1, 1)
fig.add_trace(trace2, 1, 1,secondary_y=True)
fig['layout'].update(height = 600, width = 800, title = title)
iplot(fig)