[FIXED] Mnist random sample plotting is not working?

Issue

Sampling random mnist dataset , but it shows error, tell me where i am doing wrong?

import sklearn
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
from sklearn.datasets import fetch_openml

mnist = fetch_openml('mnist_784')
y = mnist.target
X = mnist.data.astype('float64')

fig, ax = plt.subplots(2, 5)
ax = ax.flatten()
for i in range(10):
    im_idx = np.argwhere(y == str(i))[0]    #panda versions bug, worked in pycharm.  {kindly tell me an alternate way to fix it}
    print(im_idx)
    plottable_image = np.reshape(X[im_idx], (28, 28))
    ax[i].imshow(plottable_image, cmap='gray_r')
  

the error shows

ValueError: Length of passed values is 1, index implies 70000.

Solution

The error you are getting results because np.argwhere(y == i) returns an empty array and that is because you are trying to make a comparison between y which is filled with string values and i which is an int.

The following change will fix it:

im_idx = np.argwhere(y == str(i))[0]

---

Edit:

Here is the updated cast to match the numpy operations:

y = mnist.target.to_numpy()
X = mnist.data.astype('float64').to_numpy()

Answered By - ImSo3K