Python Numpy Tutorial - ones vs ones_like (np.ones vs np.ones_like)

This python tutorial shows you the difference between np.ones and np.ones_like for numpy package in python. Both are used to create matrices full of ones. Watch to find out how they both work.

This is a Python anaconda tutorial for help with coding, programming, or computer science. These are short python videos dedicated to troubleshooting python problems and learning Python syntax. For more videos see Python Help playlist by Rylan Fowers.

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ONES vs ONES_LIKE

This video will compare ones vs ones like

We import numpy and I’m making a random matrix A. It will be 3 by 2.

So that means 3 rows and 2 columns.

To do ones_like function we need to reference another matrix that is why we created A. It will make a matrix of the same size but fill it with ones

As you can see it is also 3 by 2

Next we compare that to np.ones. This requires a tuple for an entry. So let’s make it different and say 2 by 3.

Here is the matrix B for comparison.

There you have it, that is the difference between numpy ones and numpy ones_like in python

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