earlier we deal with column as axis = 0 and row axis = 1, so why here when we want to delete column we specified the axis = 1?

Axis = 0 does not mean literally to deal with rows and the same applies for axis = 1 in columns However, Axis = 0 means that we are going to apply the function vertically (from top to bottom) - For example, np.sum([[1, 1, 1], [2, 2, 2]], axis=0) means that we will aggregate vertically resulting only in one row so the result will be in this case array([3, 3, 3]) - The same applies for np.delete, it means that we will delete starting from top (deleting a row) By the same technique, you can understand axis=1 which means that we should apply the function horizontally (from left to right) - For example, np.sum([[1, 1, 1], [2, 2, 2]], axis=1) means that we will aggregate horizontally resulting only in one column so the result will be in this case array([3,6]) - The same applies for np.delete, it means that we will delete starting from left (deleting a column)

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Batool Osama Khalid

Last answered:

10 Oct 2022

Posted on:

05 Nov 2021

Axis clarifiction on np.delete

in Data Preprocessing with NumPy / Removing Values from Ndarrays

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Eslam Mohamed Helmi

Posted on:

10 Oct 2022

Axis clarifiction on np.delete

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