Joining Numpy Arrays

We can join two or more arrays in a single new array using the following:

  1. concatenate() method: Joining along with axis, unlike keys in SQL.
  2. stack method: Joining along a new axis, unlike keys in SQL.

Joining Numpy Arrays with concatenate()


Joining Numpy Arrays with Stack Methods

Join arrays in Numpy using the stack methods, such as

  • stack()
  • hstack()
  • vstack()
  • dstack()
  • column_stack()

Let us see the examples one by one:

numpy.stack() in Python

Join Numpy arrays using the stack() method:


numpy.hstack() in Python

Stack along rows using the hstack() method in Numpy:


numpy.vstack() in Python

Stack along columns using the vstack() method in Numpy:


numpy.dstack() in Python

Stack along depth i.e. height using the dstack() method in Numpy:


numpy.column_stack() in Python

Stack according to columns using the column_stack() method in Numpy:


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Read More:

How to Iterate Numpy Arrays
Split Numpy Array
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