NumPy Advanced

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Problems

sum_all

Returns the sum of all numbers in the array

Example 1:

Input: [[1 2 3 4]
        [2 1 0 5]]
Output: 18

Constraints:

dtpye = np.uint8

sum_axis

Returns the sum of rows in the array

Example 1:

Input: [[1 2 3 4]
        [2 1 0 5]]
Output: [10  8]

Constraints:

dtpye = np.uint8

prod

Returns the product of all numbers in the array

Example 1:

Input: [[3 4]
        [1 5]
        [3 2]]
Output: 360

Constraints:

dtpye = np.uint8

max_all

Returns the max of all numbers in the array

Example 1:

Input: [[  1  11]
        [  4  65]
        [  5  14]
        [122   4]
        [ 12   3]]
Output: 122

Constraints:

dtpye = np.uint8

min_all

Returns the min of all numbers in the array

Example 1:

Input: [[  1  11]
        [  4  65]
        [  5  14]
        [122   4]
        [ 12   3]]
Output: 1

Constraints:

dtpye = np.uint8

max_axis

Returns the max of all numbers in the array

Example 1:

Input: [[  1  11]
        [  4  65]
        [  5  14]
        [122   4]
        [ 12   3]]
Output: [11  65  14 122  12]

Constraints:

dtpye = np.uint8

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