data

data.py

colors_list = ['#5bc0de','#d9534f']
plt.title("Potential Fraud distribution")
ax = patient_data['PotentialFraud'].value_counts().plot(kind='bar', figsize=(5,5), width=0.8,color = colors_list)
total = len(patient_data['PotentialFraud'])
for p in ax.patches:
        percentage = '{:.1f}%'.format(100 * p.get_height()/total)        
        x = p.get_x() + p.get_width() - 0.5
        y = p.get_y() + p.get_height()
        ax.annotate(percentage, (x, y))
plt.xlabel('Potential_Fraud')
plt.ylabel('Count')
plt.show()