[PYTHON] Show axes as percentages in Matplotlib

It's not a big deal, but it's easy to forget.

Sample data

import numpy as np

arr = np.random.randn(10)
print(arr)
# => array([ 0.24671671, -0.8013258 , -0.29147271, -0.10755521, -1.39065478,
#           -1.03983494, -0.75304377,  0.62645801,  0.76417769, -0.31104797])

When plotted normally

import matplotlib.pyplot as plt

fig, ax = plt.subplots()
ax.bar(x=range(len(arr)), height=arr)
ax.set_title('Some percentage')

It is difficult to understand that this is a ratio.

When displaying as a percentage

import matplotlib
import matplotlib.pyplot as plt

fig, ax = plt.subplots()
ax.bar(x=range(len(arr)), height=arr)
ax.yaxis.set_major_formatter(matplotlib.ticker.PercentFormatter(1.0))
ax.set_title('Some percentage')

matplotlib.ticker — Matplotlib documentation