NumPy

README.md

@@ -1911,14 +1911,14 @@ indexes = <array>.argmin(axis)
 **Broadcasting is a set of rules by which NumPy functions operate on arrays of different sizes and/or dimensions.**
 
 ```python
-left  = [[0.1], [0.6], [0.8]]  # Shape: (3, 1)
-right = [ 0.1 ,  0.6 ,  0.8 ]  # Shape: (3)
+left  = [[0.1], [0.6], [0.8]]                                # Shape: (3, 1)
+right = [ 0.1 ,  0.6 ,  0.8 ]                                # Shape: (3)
 ```
 
 #### 1. If array shapes differ in length, left-pad the smaller shape with ones:
 ```python
-left  = [[0.1], [0.6], [0.8]]  # Shape: (3, 1)
-right = [[0.1 ,  0.6 ,  0.8]]  # Shape: (1, 3) <- !
+left  = [[0.1], [0.6], [0.8]]                                # Shape: (3, 1)
+right = [[0.1 ,  0.6 ,  0.8]]                                # Shape: (1, 3) <- !
 ```
 
 #### 2. If any dimensions differ in size, expand the ones that have size 1 by duplicating their elements: