What is the meaning of “axis” attribute in a Pandas DataFrame?

Question

Taking the following example:

>>> df1 = pd.DataFrame({\"x\":[1, 2, 3, 4, 5], 
                        \"y\":[3, 4, 5, 6, 7]}, 
                      ind         


        

Answer 1

This is my trick with axis: just add the operation in your mind to make it sound clear:

• axis 0 = rows
• axis 1 = columns

If you “sum” through axis=0, you are summing all rows, and the output will be a single row with the same number of columns. If you “sum” through axis=1, you are summing all columns, and the output will be a single column with the same number of rows.