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NumPy

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Jure Šorn 5 years ago
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      README.md

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@ -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.** **Broadcasting is a set of rules by which NumPy functions operate on arrays of different sizes and/or dimensions.**
```python ```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: #### 1. If array shapes differ in length, left-pad the smaller shape with ones:
```python ```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: #### 2. If any dimensions differ in size, expand the ones that have size 1 by duplicating their elements:

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