Minor fixes to image as arrays

tutorial/01_images_are_arrays.md

@@ -75,6 +75,7 @@ A color image is a 3D array, where the last dimension has size 3 and represents
 
 ```{code-cell} ipython3
 cat = ski.data.chelsea()
+
 print("Shape:", cat.shape)
 print("Values min/max:", cat.min(), cat.max())
 
@@ -248,7 +249,7 @@ for i, animal in enumerate(animals):
     print('The animal in position {} is {}'.format(i, animal))
 ```
 
-## <span class="exercize">Exercise 1: draw the letter H</span>
+## Exercise 1: draw the letter H
 
 Define a function that takes as input an RGB image (shape `MxNx3`) and a pair of coordinates, `(row, column)`, and returns a copy with a green letter H overlaid at those coordinates. The coordinates point to the top-left corner of the H.
 

tutorial/solved/01_images_are_arrays.md

@@ -5,7 +5,7 @@ jupytext:
     extension: .md
     format_name: myst
     format_version: 0.13
-    jupytext_version: 1.14.7
+    jupytext_version: 1.16.2
 kernelspec:
   display_name: Python 3 (ipykernel)
   language: python
@@ -186,7 +186,7 @@ scikit-image conveniently wraps many of these in the `io` submodule, and will us
 ```{code-cell} ipython3
 from skimage import io
 
-image = io.imread('./data/balloon.jpg')
+image = io.imread('../data/balloon.jpg')
 
 print(type(image))
 print(image.dtype)
@@ -307,7 +307,7 @@ Display the different color channels of the image along (each as a gray-scale im
 
 # --- read in the image ---
 
-image = plt.imread('./data/Bells-Beach.jpg')
+image = plt.imread('../data/Bells-Beach.jpg')
 
 # --- assign each color channel to a different variable ---
 
@@ -384,8 +384,9 @@ Change the coefficients to 1/3 (i.e., take the mean of the red, green, and blue
 :tags: [raises-exception, remove-output]
 
 from skimage import color, img_as_float
+import skimage as ski
 
-image = img_as_float(io.imread('./data/balloon.jpg'))
+image = img_as_float(ski.io.imread('../data/balloon.jpg'))
 
 gray = color.rgb2gray(image)
 coefficients = [0.2126, 0.7152, 0.0722]