numpy.sum (arr, axis, dtype, out) : This function returns the sum of the array elements along the specified axis.
arr: input array.
axis: axis along which we want to calculate the sum value. 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: Different array in which we want to place the result. The array must have same dimensions as expected output. Default is None.
initial: [scalar, optional] Starting value of the sum.
Return: Sum of the array elements ( a scalar value if axis is none) or array with sum values along the specified axis.
Code # 1:
Sum of arr: 36.2 Sum of arr (uint8): 36 Sum of arr (float32): 36.2 Is np.sum (arr) .dtype == np.uint : False Is np.sum (arr) .dtype == np.uint: True
Code # 2:
< code class = "undefined spaces">
Sum of arr: 279 Sum of arr (uint8): 23 Sum of arr (float32): 279.0 Is np.sum (arr) .dtype == np.uint : False Is np.sum (arr) .dtype == np.uint: False
Code # 3:
Sum of arr: 279 Sum of arr (axis = 0) : [52 25 93 42 67] Sum of arr (axis = 1): [120 75 84] Sum of arr (keepdimension is True): [  ]
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