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Update README.md

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Signed-off-by: David Rotermund <54365609+davrot@users.noreply.github.com>
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@ -108,6 +108,15 @@ b = np.vstack((a, a))
print(b.shape) # -> (4, 3, 4)
```
## [numpy.vsplit](https://numpy.org/doc/stable/reference/generated/numpy.vsplit.html)
```python
numpy.vsplit(ary, indices_or_sections)[source]
```
> Split an array into multiple sub-arrays vertically (row-wise).
>
> vsplit is equivalent to split with axis=0 (default), the array is always split along the first axis regardless of the array dimension.
## [numpy.hstack](https://numpy.org/doc/stable/reference/generated/numpy.hstack.html)
@ -132,6 +141,16 @@ b = np.hstack((a, a))
print(b.shape) # -> (2, 6, 4)
```
## [numpy.hsplit](https://numpy.org/doc/stable/reference/generated/numpy.hsplit.html)
```python
numpy.hsplit(ary, indices_or_sections)[source]
```
> Split an array into multiple sub-arrays horizontally (column-wise).
>
> hsplit is equivalent to split with axis=1, the array is always split along the second axis except for 1-D arrays, where it is split at axis=0.
## [numpy.dstack](https://numpy.org/doc/stable/reference/generated/numpy.dstack.html)
```python
@ -154,3 +173,46 @@ b = np.dstack((a, a))
print(b.shape) # -> (2, 3, 8)
```
## [numpy.dsplit](https://numpy.org/doc/stable/reference/generated/numpy.dsplit.html)
```python
numpy.dsplit(ary, indices_or_sections)
```
> Split array into multiple sub-arrays along the 3rd axis (depth).
>
> dsplit is equivalent to split with axis=2, the array is always split along the third axis provided the array dimension is greater than or equal to 3.
## [numpy.stack](https://numpy.org/doc/stable/reference/generated/numpy.stack.html)
```python
numpy.stack(arrays, axis=0, out=None, *, dtype=None, casting='same_kind')
```
> Join a sequence of arrays along a **new axis**.
>
> The axis parameter specifies the index of the new axis in the dimensions of the result. For example, if axis=0 it will be the first dimension and if axis=-1 it will be the last dimension.
```python
import numpy as np
a = np.zeros((6, 8, 10))
print(a.shape) # -> (6, 8, 10)
b = np.stack((a, a), axis=0)
print(b.shape) # -> (2, 6, 8, 10)
b = np.stack((a, a), axis=1)
print(b.shape) # -> (6, 2, 8, 10)
b = np.stack((a, a), axis=2)
print(b.shape) # -> (6, 8, 2, 10)
b = np.stack((a, a), axis=3)
print(b.shape) # -> (6, 8, 10, 2)
b = np.stack((a, a), axis=4) # AxisError: axis 4 is out of bounds for array of dimension 4
```