NumPy

README.md

@@ -1464,8 +1464,8 @@ NumPy
 ```
 
 ```python
-value   = <array>.min([axis])
-index   = <array>.argmin([axis])
+value = <array>.min([axis])
+index = <array>.argmin([axis])
 ```
 
 ```python
@@ -1480,17 +1480,17 @@ index   = <array>.argmin([axis])
 left  = [[0.1], [0.6], [0.8]]   # Shape: (3, 1)
 right = [ 0.1 ,  0.6 ,  0.8 ]   # Shape: (3)
 ```
-1. If array shapes differ, left-pad the smaller shape with ones.
+**1. If array shapes differ, 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) <- !
 ```
-2. If any dimensions differ in size, expand the ones that have size 1 by duplicating their elements.
+**2. If any dimensions differ in size, expand the ones that have size 1 by duplicating their elements.**
 ```python
 left  = [[0.1, 0.1, 0.1], [0.6, 0.6, 0.6], [0.8, 0.8, 0.8]]  # Shape: (3, 3) <- !
 right = [[0.1, 0.6, 0.8], [0.1, 0.6, 0.8], [0.1, 0.6, 0.8]]  # Shape: (3, 3) <- !
 ```
-3. If neither non-matching dimension has size 1, rise an error.
+**3. If neither non-matching dimension has size 1, rise an error.**
 
 ### Example
 **For each point returns index of its nearest point: `[0.1, 0.6, 0.8] => [1, 2, 1]`.**