netflix.py

p = df.groupby('Rating')['Rating'].agg(['count'])

# get movie count
movie_count = df.isnull().sum()[1]

# get customer count
cust_count = df['Cust_Id'].nunique() - movie_count

# get rating count
rating_count = df['Cust_Id'].count() - movie_count

ax = p.plot(kind = 'barh', legend = False, figsize = (15,10))
plt.title('Total pool: {:,} Movies, {:,} customers, {:,} ratings given'.format(movie_count, cust_count, rating_count), fontsize=20)
plt.axis('off')

for i in range(1,6):
    ax.text(p.iloc[i-1][0]/4, i-1, 'Rating {}: {:.0f}%'.format(i, p.iloc[i-1][0]*100 / p.sum()[0]), color = 'white', weight = 'bold')