missing_values.py

import matplotlib.pyplot as plt

#generate the percentages of missing values sorted from the highest to lowest
null_perc=((muon_hits_df.isnull().
           sum()/muon_hits_df.
           shape[0]
           )*100).sort_values(ascending=False)

#create a figure object to specify the figure size and axes' labels
fig = plt.figure(figsize = (10,5))
ax = fig.gca()
ax.set_xlabel("features names")
ax.set_ylabel("missing values percentage")

#generate the bar graph
null_perc.plot.bar(ax=ax)
plt.show()