如何使用 plotly 和袖扣绘制多轴？

Question

I am following the example of cufflinks in plotly. In the multi axes example, I get the following error. What is the problem ?? The pandas version is 0.23.0 and the cufflinks version is 0.14.4.

import pandas as pd
import numpy as np

from plotly.offline import init_notebook_mode, iplot
import plotly.plotly as py
import plotly.graph_objs as go
import cufflinks as cf
init_notebook_mode(connected=True)

df = cf.datagen.lines(4, mode='abc')
df[['c', 'd']] = df[['c', 'd']] * 100
df.iplot(secondary_y=['c','d'])

fig1 = df.iplot(columns=['a', 'b'], asFigure=True)
fig2 = df.iplot(columns=['c', 'd'], kind='bar', secondary_y=['c', 'd'], asFigure=True)
fig2['data'].extend(fig1['data'])
py.iplot(fig2, filename='pandas/secondary y with bar chart')

AttributeError                            Traceback (most recent call last)
<ipython-input-76-a8425145c10f> in <module>()
      1 fig1 = df.iplot(columns=['a', 'b'], asFigure=True)
----> 2 fig2 = df.iplot(columns=['c', 'd'], kind='bar', secondary_y=['c', 'd'], asFigure=True)
      3 fig2['data'].extend(fig1['data'])
      4 py.iplot(fig2)

C:\ProgramData\Anaconda3\lib\site-packages\cufflinks\plotlytools.py in _iplot(self, kind, data, layout, filename, sharing, title, xTitle, yTitle, zTitle, theme, colors, colorscale, fill, width, dash, mode, interpolation, symbol, size, barmode, sortbars, bargap, bargroupgap, bins, histnorm, histfunc, orientation, boxpoints, annotations, keys, bestfit, bestfit_colors, mean, mean_colors, categories, x, y, z, text, gridcolor, zerolinecolor, margin, labels, values, secondary_y, secondary_y_title, subplots, shape, error_x, error_y, error_type, locations, lon, lat, asFrame, asDates, asFigure, asImage, dimensions, asPlot, asUrl, online, **kwargs)
   1151 ## Check secondary axis
   1152         if secondary_y:
-> 1153                 figure=tools._set_axis(figure,secondary_y,side='right')
   1154                 if secondary_y_title:
   1155                         figure.layout.yaxis2.title=secondary_y_title

C:\ProgramData\Anaconda3\lib\site-packages\cufflinks\tools.py in _set_axis(self, traces, on, side, title)
   1166                 if k not in fig.axis['ref_axis']:
   1167                         try:
-> 1168                                 del fig['layout'][id]
   1169                         except KeyError:
   1170                                 pass

AttributeError: __delitem__

Answer 1

应用这段代码时我取得了成功

df[['a','b','c','d']].iplot(secondary_y=['c', 'd'])

Answer 2

It is not what you are looking for? I am adopted the code from this example to your data:

# import necessary libraries
from plotly.offline import init_notebook_mode, iplot
import plotly.graph_objs as go
import cufflinks as cf
init_notebook_mode(connected=True)
# get DataFrame
df = cf.datagen.lines(4, mode='abc')
# Create two traces
trace1 = go.Scatter(x=df['a'], y=df['b'])
trace2 = go.Scatter(x=df['c'], y=df['d'])
# Create data from traces
data = [trace1, trace2]
# Create layout
layout = go.Layout(title='Double Y Axis Example',
    # Define first yaxis
    yaxis=dict(
        title='yaxis title'
    ),
    # Define second yaxis
    yaxis2=dict(
        title='yaxis2 title',
        titlefont=dict(
            color='rgb(148, 103, 189)'
        ),
        tickfont=dict(
            color='rgb(148, 103, 189)'
        ),
        overlaying='y',
        side='right'
    )
)
# Create figure
fig = go.Figure(data=data, layout=layout)
# Plot the figure
iplot(fig, filename='pandas/secondary y with bar chart.html')

Output:

Answer 3

This works for me.

from cufflinks import tools
import plotly.graph_objs as go

df = cf.datagen.lines(4, mode='abc')
df[['c', 'd']] = df[['c', 'd']] * 100

fig = go.Figure(**tools.merge_figures([
    df.figure(columns=['a', 'b']),
    df.figure(columns=['c', 'd'], kind='bar')
])).set_axis(['c', 'd'], side='right')

cf.iplot(fig)