%matplotlib inline
import matplotlib.pyplot as plt
import matplotlib.style as style
import seaborn as sns

plt.rcParams["figure.figsize"] = (12,12)
# Improve style of the plots
style.use('seaborn-deep')
style.use('ggplot')

top_no = 10
pie_data = df
  .groupby('country')['name']\
  .nunique()\
  .nlargest(top_no)\
  .to_frame()

fig1, ax1 = plt.subplots()
ax1.pie(x=pie_data['name'],
        labels=pie_data.index,
        autopct='%1.1f%%',
        startangle=180)
centre_circle = plt.Circle((0,0),0.70,fc='white')
fig = plt.gcf()
fig.gca().add_artist(centre_circle)
fig.gca().set_title(f"Top {top_no} names")
ax1.axis('equal')
plt.tight_layout()
plt.show()