The clip() function in NumPy is used to place or clip a limit values in an input array that is passed to it.
numpy.clip(a, a_min, a_max, out=None, **kwargs)
The clip() function takes the following parameter values:
a: This represents the input array of values to clip. This is a required parameter value.a_min and a_max: This represents the minimum and maximum values to clip the array. This is an optional parameter value.out: This represents the location where the result is stored. This is an optional parameter value.where: This is the condition over which the input is broadcast. At a given location where this condition is True, the resulting array is set to the ufunc result. Otherwise, the resulting array retains its original value. This is an optional parameter value.kwargs: This represents the other keyword arguments. This is an optional parameter value.import numpy as np# creating an input array of complex valuesx = np.array([1, 3, 2, 2, 4, 5, 6, 7, 8, 9])# implementing the clip() function# let the minimum value of the array be 2 and the maximum 7myarray = np.clip(x, 2, 7)print(x)print(myarray)
numpy module.x that has complex values, using the array() function.clip() function on the input array by setting the minimum value of the array as 2 and the maximum value of the array as 7. We assign the result to a variable called myarray.x.myarray.