title: What do I see on the image when I specify arr[0].imshow(img1[:,:,0]) using slicing ? (imageio package). How to interpret the intensities we observe?
body: <p>Please help me to understand what information I see on the image when I use slicing in the imshow() function in the image layers. How to interpret the intensities I see ? And what those colors mean ?</p>
  <p>Here is my code:</p>
  <pre class="lang-py prettyprint-override"><code>import imageio as io
  import matplotlib.pyplot as plt
  import numpy as np
  
  img1 = io.imread('pexels-asad-photo-maldives-457882.jpg')
  
  fig, arr = plt.subplots(1,4,figsize=(15,15))
  
  arr[0].imshow(img1[:,:])
  arr[0].set_title('img1[:,:]')
  
  arr[1].imshow(img1[:,:,0])
  arr[1].set_title('img1[:,:,0]')
  
  arr[2].imshow(img1[:,:,1])
  arr[2].set_title('img1[:,:,1]')
  
  arr[3].imshow(img1[:,:,2])
  arr[3].set_title('img1[:,:,2]')
  
  plt.show()
  </code></pre>
  <p>Image shape : (2624, 3936, 3)</p>
  <p>Here is what is displayed:</p>
  <p><a href="https://i.stack.imgur.com/GIoCK.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/GIoCK.png" alt="Output" /></a></p>