popular repo heatmap.py

popular_df = github_df.nlargest(n=100,columns=['Star'])[['Issues','Pull_Requests','Commits','Contributors']]

# set figure size and dpi
fig, ax = plt.subplots(figsize=(6,4), dpi=100)

# plot the correlation in a heatmap
sns.heatmap(popular_df.corr(), linewidths=0.1, vmax=1.0, square=True, linecolor='white', annot=True, cmap='summer');
fig.suptitle('Correlation of contributions in Top 100 popular repositories',fontsize=16, color = '#333F4B');