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This article mainly introduces what Axis stands for in python. It is very detailed and has certain reference value. Friends who are interested must finish reading it.

What does Axis stand for?

In Pandas, you may encounter Axis when deleting a column or summing values in a NumPy matrix.

Let's use an example of deleting a column (row):

Df.drop ('Column Aids, axis=1) df.drop (' Row Aids, axis=0)

If you want to process columns, set Axis to 1, and if you want to process rows, set it to 0.

But why?

Think back to shape in Pandas.

Df.shape (# of Rows, # of Columns)

Calling the shape property from Pandas DataFrame returns a tuple, with the first value representing the number of rows and the second value representing the number of columns.

If you want to index it in Python, the number of rows is subscript 0 and the number of columns is subscript 1, much like how we declare axis values.

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