Coding Ref

In Python, `numpy.hstack()`

is a function that is used to stack arrays in a sequence horizontally (i.e., column-wise).

This means that it concatenates arrays along the second axis, which is the columns in a two-dimensional array.

The syntax for `numpy.hstack()`

is as follows:

```
numpy.hstack(tup)
```

where `tup`

is a tuple containing the arrays that you want to stack.

Here are some examples of how to use `numpy.hstack()`

in Python:

If you have two arrays, `a`

and `b`

, you can stack them horizontally using the following code:

main.py

```
import numpy as np
a = np.array([1, 2, 3])
b = np.array([4, 5, 6])
c = np.hstack((a, b))
```

In this case, `c`

will be the resulting array after stacking a and b horizontally.

It will have the following values:

output

```
array([1, 2, 3, 4, 5, 6])
```

Here is another example where we stack three arrays horizontally:

main.py

```
import numpy as np
a = np.array([1, 2, 3])
b = np.array([4, 5, 6])
c = np.array([7, 8, 9])
d = np.hstack((a, b, c))
```

In this case, `d`

will be the resulting array after stacking `a`

, `b`

, and `c`

horizontally. It will have the following values:

output

```
array([1, 2, 3, 4, 5, 6, 7, 8, 9])
```

`numpy.hstack()`

is a very useful function for stacking arrays horizontally in Python. It is especially useful when working with large datasets and can help make your code more efficient and easier to read.

Related tutorials curated for you

How to use numpy.zeros() in Python

How to use numpy.percentile() in Python

NumPy: np.arrange()

How to use numpy.clip() in Python

How to use numpy.exp() in Python

NumPy numpy.transpose()

ModuleNotFoundError: No module named 'numpy' in Python

How to use numpy.random.uniform() in Python

How to use numpy.vstack() in Python

How to use numpy.round() in Python

How to use numpy.linspace() in Python

How to use numpy.ndarray.flatten() in Python