Plot up the distribution of counts
sns.barplot(class_counts.values, class_counts.index, color=‘b’)
plt.title(‘Distribution of Classes for Training Dataset’, fontsize=15)
plt.xlabel(‘Number of Patients’, fontsize=15)
plt.ylabel(‘Diseases’, fontsize=15)
plt.show()
Hi @Mahmoud_Menessy,
I am not sure to which exercise this code snippet refers to, but I will try to help out.
Seaborn barplot expects to specify explicitly the x= and y=. Are you sure that the x is class_counts.values and the y is class_counts.index? Or are they keys and values?
Regards,
Samuel
Hi @Mahmoud_Menessy ,
Try this,
sns.barplot(x=class_counts.values, y=class_counts.index, color='b') plt.title('Distribution of Classes for Training Dataset', fontsize=15) plt.xlabel('Number of Patients', fontsize=15) plt.ylabel('Diseases', fontsize=15) plt.show()
x=class_counts.values
represents the data for the x-axis (the counts of each class),
y=class_counts.index
represents the data for the y-axis (the names of each class),
color='b'
sets the color of the bars in the plot to blue.
Also, make sure that class_counts
is a pandas Series where the index is the name of the classes (or ‘Diseases’ in your case) and the values are the counts of each class (or ‘Number of Patients’ in your case).