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numpy.clip(a, a_min, a_max, out=None)(values < a_min are replaced with a_min, and those > a_max with a_max.)

2024-11-13 09:54:39   203人阅读

numpy.clip(a, a_min, a_max, out=None)

Clip (limit) the values in an array.

Given an interval, values outside the interval are clipped to the interval edges. For example, if an interval of [0, 1] is specified, values smaller than 0 become 0, and values larger than 1 become 1.

Parameters:

a : array_like

Array containing elements to clip.

a_min : scalar or array_like or None

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 : scalar or array_like or None

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 : ndarray, optional

The 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.

Returns:

clipped_array : ndarray

An array with the elements of a, but where values < a_min are replaced with a_min, and those > a_max with a_max.

 

Examples

>>> a = np.arange(10)>>> np.clip(a, 1, 8)array([1, 1, 2, 3, 4, 5, 6, 7, 8, 8])>>> aarray([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])>>> np.clip(a, 3, 6, out=a)array([3, 3, 3, 3, 4, 5, 6, 6, 6, 6])>>> a = np.arange(10)>>> aarray([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])>>> np.clip(a, [3, 4, 1, 1, 1, 4, 4, 4, 4, 4], 8)array([3, 4, 2, 3, 4, 5, 6, 7, 8, 8])

numpy.clip(a, a_min, a_max, out=None)(values < a_min are replaced with a_min, and those > a_max with a_max.)


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