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# In Python, numpy.clip)

The Python function numpy.cli() is used to cut off the values of a given array (limit). With the specified interval values, the interval limits are cut to fit the edges of the interval.

Basic composition

The most important syntax of the numpy.clip() function in Python is given below:

numpy.clip(arr, a_min, a_max, out=none)

And the parameters are as follows:

 Settings Description surrounded. It’s an input board. a_min Minimum value. Otherwise, as long as the staple hasn’t gone through the bottoms. Maximum a_min and a_max shall not be zero. If one of a_min and a_max looks like an array, three arrays are sent. a_max Maximum value. Otherwise, provided that the clip is not placed at the top edges. Maximum a_min and a_max shall not be zero. If one of a_min and a_max looks like an array, three arrays are sent.

Returned value

This function provides a specialized 2D array of a data string or an array-like object.

Example

Below you will find some examples:

Example 1

 # Python3 is a demo program for the clip() function # Narcotics imports The input is as deaf as phtht input_array = [10, 20, 30, 40, 50, 60, 70, 80, 90, 100]. Expression (Input Array: , Input_Array) output_array = np.cli(input_array, a_min = [50, 30, 20, 80, 100, 90], a_max = 70]. Output (output_array: , output_array)

The conclusion for the above programme is given below:

Access table : 10, 20, 30, 40, 50, 60, 70, 80, 90, 100]
Output field : [ 50, 30, 30, 50, 50, 60, 80, 80, 100, 90]

Example 2

 # Program on python to illustrate the numpy.clip() function # Importing the numbering module The input is as deaf as phtht input_array = [10, 20, 30, 40, 50, 60, 70, 80, 90, 100]. Expression (Input Array: , Input_Array) output_array = np.cli(input_array, a_min = 30, a_max = 80) Output (output_array: , output_array)

The conclusion for the above programme is given below:

Access table : 10, 20, 30, 40, 50, 60, 70, 80, 90, 100]
Output field : [30, 30, 30, 40, 50, 60, 70, 80, 80, 80]

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