python-scipyHow do I join two arrays using Python and NumPy?

Joining two arrays using Python and NumPy is a simple task. NumPy provides the concatenate() function which can be used to join two arrays. The syntax for concatenate() is as follows:

numpy.concatenate((array1, array2), axis)

where array1 and array2 are the two arrays that are to be joined, and axis is an optional argument which specifies the axis along which the two arrays are to be joined. If axis is not specified, the arrays are flattened before being joined.

For example, let's say we have two arrays a and b:

a = np.array([[1, 2], [3, 4]])
b = np.array([[5, 6], [7, 8]])

We can join them along the row axis (axis=0) using concatenate() as follows:

np.concatenate((a, b), axis=0)

The output of this code will be:

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

Code explanation

1. numpy.concatenate((array1, array2), axis): The syntax for concatenate() which is used to join two arrays.
2. array1 and array2: The two arrays which are to be joined.
3. axis: An optional argument which specifies the axis along which the two arrays are to be joined.

Helpful links

• NumPy concatenate() Documentation

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