Pie

regions = ['na_sales', 'jp_sales', 'eu_sales']

for i in range(3):
    top_platforms = (df_period.groupby('platform')[regions[i]].sum().
             reset_index().
             sort_values(regions[i], ascending = False, ignore_index = True).
             head(5))

    top_platforms = (top_platforms.
                     append({
                         'platform': 'Other_platform',
                         regions[i]: df_period[regions[i]].sum() - top_platforms[regions[i]].sum()},
                         ignore_index= True))

    import matplotlib.pyplot as plt

    fig, ax = plt.subplots(1,3)

    ax[i].pie(top_platforms[regions[i]], labels = top_platforms['platform'], autopct="%1.1f%%", frame = True)
    ax[i].axis('equal')
    ax[i].set_title(top_platforms.columns[i].split(' ')[0].upper())

plt.show()