I was working on the Fashion MNIST dataset on TensorFlow, I was trying to plot the image of the train_data of having a specific test_label. I ran the following code, it works but it only shows me one image even though there are many such images.
for i in range (len(test_data)):
if test_labels[i]==9:
plt.imshow(test_data[i])
following is the output I am getting:
It overwrites the previous plot each time you iterate over test data.
If you want to get different plots, use something like this:
j = 0
n_rows = 2
n_cols = 3
for i in range(len(test_data)):
if test_labels[i]==9:
j += 1
ax = plt.subplot(n_rows,n_cols,j)
ax.imshow(test_data[i])
if j >= (n_rows*n_cols):
break