Add cumulative ratio to matplotlib bar chart

A series that adds cumulative ratios to the matplotlib graph. Added cumulative ratio to bar chart. Click here for the completed plot mlt_barplot_with_ratio.png

The point is that matplotlib.bar () can't specify categorical variables as they are for the name bar, so I need to tell you where to plot on the x-axis. Specifically, numpy.arange () etc. is used to generate serial numbers and indexes for the number of categories and tell the location of the x-axis.

"""An example of adding a cumulative ratio to a maptlolib bar chart"""
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import seaborn as sns

#Plot cool in seaborn style
# % matplotlib inline
sns.set(style="darkgrid", palette="muted", color_codes=True)

#Toy data generation
df = pd.DataFrame({'group': ['A', 'B', 'C', 'D', 'E'],
                   'value': [20, 30, 10, 50, 40]})

#Specify x-axis plot position
#It needs to be generated because it does not do it without permission.
x_idx = np.arange(df.shape[0])

#Get fig and ax for plotting
fig, ax = plt.subplots()

#Added bar graph (1st axis)
bar = ax.bar(left=x_idx,
             height=df['value'],
             align='center',
             tick_label=df['group'],
             alpha=0.7
             )

#Calculate the cumulative ratio for the 2nd axis
df['accumulative_ratio'] = df['value'].cumsum() / df['value'].sum()

#Added cumulative line graph to the 2nd axis
ax2 = ax.twinx()
line = ax2.plot(x_idx,
                df['accumulative_ratio'],
                ls='--',
                marker='o',
                color='r'
                )
ax2.grid(visible=False)
plt.show()

The completed code with the legend etc. added is given in Gist.

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