At the specified interval, values outside the interval are trimmed to the edges of the interval. For example, if an interval of [0, 1] is specified, values less than 0 become 0, and values greater than 1 become 1.
Syntax: numpy.clip (a, a_min , a_max, out = None)
Parameters:
a: Array containing elements to clip.
a_min : Minimum value.
-" If None, clipping is not performed on lower interval edge. Not more than one of a_min and a_max may be None.
a_max: Maximum value.
-" If None, clipping is not performed on upper interval edge. Not more than one of a_min and a_max may be None.
-" If a_min or a_max are array_like, then the three arrays will be broadcasted to match their shapes.
out: Results will be placed in this array. It may be the input array for in-place clipping. out must be of the right shape to hold the output. Its type is preserved.Return: clipped_array
Code # 1:
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Output:
Input array: [1, 2, 3, 4, 5, 6, 7, 8] Output array: [2 2 3 4 5 6 6 6]
Code # 2:
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Output:
Input array: [1, 2, 3, 4, 5, 6, 7, 8, 9 , 10] Output array: [3 4 3 4 5 6 7 8 9 9]
