["python","pandas","dataframe"]
What does axis in pandas mean?

Here is my code to generate a dataframe: import pandas as pd import numpy as np dff = pd.DataFrame(np.random.randn(1, 2), columns=list('AB')) then I got the dataframe: A B 0 0.626386 1.52325 When I type the command dff.mean(axis=1), I get: 0 1.074821 dtype: float64 According to the reference of pandas, axis=1 stands for columns and I expect the result of the command to be A 0.626386 B 1.523255 dtype: float64 So what does axis in pandas mean?
It specifies the axis along which the means are computed. By default axis=0. This is consistent with the numpy.mean usage when axis is specified explicitly (in numpy.mean, axis==None by default, which computes the mean value over the flattened array) , in which axis=0 along the rows (namely, index in pandas), and axis=1 along the columns. For added clarity, one may choose to specify axis='index' (instead of axis=0) or axis='columns' (instead of axis=1). A B 0 0.626386 1.52325 → → axis=1 → → ↓ ↓ ↓ axis=0 ↓ ↓ ↓