'numpy.ndarray' object has no attribute 'imshow'
numpy, python
Solution
This:
for i in ax:
ax[i].imshow(img, interpolation='none')
doesn't make sense because `I` isn't the index. It's one of the axis objects.
And your first case is wrong because even though you loop over the items, you call the function on `ax`, not the individual axes.
Do this:
for a in ax:
a.imshow(img, interpolation='none')
Problem
I've been trying everything I can to get pyplot to display an image 5 times. I keep getting this error... Here is my code ``` import matplotlib.pyplot as plt import os.path import numpy as np '''Read the image data''' # Get the directory of this python script directory = os.path.dirname(os.path.abspath(__file__)) # Build an absolute filename from directory + filename filename = os.path.join(directory, 'cat.gif') # Read the image data into an array img = plt.imread(filename) '''Show the image data''' # Create figure with 1 subplot fig, ax = plt.subplots(1, 5) # Show the image data in a subplot for i in ax: ax.imshow(img, interpolation='none') # Show the figure on the screen fig.show() ``` I'm sure it has something to do with the 2D array, but I really cant figure it out. Ive tried ``` for i in ax: ax[i].imshow(img, interpolation='none') # Show the figure on the screen fig.show() ``` But I just get: IndexError: only integers, slices (`:`), ellipsis (`...`), numpy.newaxis (`None`) and integer or boolean arrays are valid indices