import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt

if __name__ == '__main__':
    data = pd.read_csv('commit.csv')

    data['type'] = data['is_ml'].apply(lambda x: 'ML' if x else 'No ML')

    g = sns.catplot(x="type", kind="count", data=data)\
        .set(title='Istanze dei commit in base al tipo')\
        .set(xlabel='tipo')

    ax = g.facet_axis(0, 0)
    for p in ax.patches:
        ax.text(
            p.get_x() + p.get_width() * 0.39,
            p.get_height() + 10,
            p.get_height(),
            color='black', rotation='horizontal', size='large')

    plt.tight_layout()
    #plt.show()
    plt.savefig('../src/figures/count-commit.pdf')