numpy.mean (arr, axis = None) : compute the arithmetic mean (average) of the given data (array elements) along the specified axis.
arr: [array_like] input array.
axis: [int or tuples of int] axis along which we want to calculate the arithmetic mean. Otherwise, it will consider arr to be flattened (works on all
the axis). axis = 0 means along the column and axis = 1 means working along the row.
out: [ndarray, optional] Different array in which we want to place the result. The array must have the same dimensions as expected output.
dtype: [data-type, optional] Type we desire while computing mean.
Results: Arithmetic mean of the array (a scalar value if axis is none) or array with mean values along specified axis.
Code # 1: p>
arr: [20, 2, 7, 1, 34] mean of arr: 12.8
Code # 2:
mean of arr, axis = None: 18.6 mean of arr, axis = 0: [17.33333333 8.33333333 31. 14. 22.33333333] mean of arr , axis = 1: [24. 15.16.8] out_arr: [0 1 2] mean of arr, axis = 1: [24 15 16]