How to use numpy.hstack() in Python

How to use numpy.hstack() in Python

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.

Syntax

The syntax for numpy.hstack() is as follows:

numpy.hstack(tup)

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

Examples

Here are some examples of how to use numpy.hstack() in Python:

Example 1: Stack two arrays horizontally

If you have two arrays, a and b, you can stack them horizontally using the following code:

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:

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

Example 2: Stack three arrays horizontally

Here is another example where we stack three arrays horizontally:

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:

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

Conclusion

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.