Resize 3D stack of images in Python

Question

I have a 3D numpy array, which is a stack of 100 300x300 images. I want to resize all the images in the stack to be 200x200. I tried to use the numpy resize function:

import numpy as np

img_stack_sm = np.resize(img_stack, (100, 200, 200))

...but doing so scrambles the images (as shown by plotting). How can this be done in one pass? Thank you.

Answer 1

I just used a for loop in the end and cv2:

import cv2

width = 200
height = 200
img_stack_sm = np.zeros((len(img_stack), width, height))

for idx in range(len(img_stack)):
    img = img_stack[idx, :, :]
    img_sm = cv2.resize(img, (width, height), interpolation=cv2.INTER_CUBIC)
    img_stack_sm[idx, :, :] = img_sm