I have used in the past a seaborn plotting function to visualize the number of samples belonging to each class directory. That was very easy since each directory in which the dataset was divided represented a class, and within each directory there was a given number of samples. I visualized in pytorch the samples distribution in the classes or categories by this simple code :
import seaborn as sns sns.countplot(x = train_dataset.targets) plt.show()
The result of this code was the following visualization plot:
As you see the number of classes (=directories) was 25.
But now I need to visualize the same data structure with a larger number of directories. Actually about 1600 directories (or classes). Unfortunately I realized the I could not use the same piece of code because the result was the following :
What modification should I add to the code in order to make readable the visualization ? Thank you for you help