overall contribution correlation.py

# drop rows with any null values and create a dataframe with only the contribution columns
corr_df = github_df.dropna(axis=0, subset = ['Issues','Pull_Requests','Commits','Contributors'])[['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(corr_df.corr(), linewidths=0.1, vmax=1.0, square=True, linecolor='white', annot=True, cmap='summer');
fig.suptitle('Correlation between the contribution columns',fontsize=16, color = '#333F4B');