What is numpy.clip()?

As programmers, we have to be familiar with arrays and lists as best as we can. Knowing basic methods to manipulate arrays/lists according to our needs is one of the fundamentals of Computer Programming.

In this article, we will look at a clip()`, which helps us to create a subarray containing elements according to our parameters.

The clip() function is used to clip (limit) the values of an array between two numbers. The out-of-range values are swapped out for those by the minimum values that are specified in the argument.

Syntax

The syntax for clip() function is:

Parameters

The clip() function takes in these parameters:

• arr: This mandatory parameter represents the array that is to be clipped.
• arr_min: This mandatory parameter represents the starting limit for clipping the input array.
• arr_max: The maximum values that are to be clipped from the array.
• out: This represents the location where the resultant array is stored.

Return Type

When we use the clip() function in Python, a resultant array is generated, which follows the constraints added while defining the function clip().

Output

As we can see, the resultant array contains only elements between our minimum and maximum values (between 2 and 7).

Examples

To further solidify our knowledge of the clip() function, we will look into some code examples:

• Using np.arrange() function to generate an array

  The arrange() function in NumPy is used to generate an array from 0 to the number specified as its parameter.

  Output

• Applying numpy.clip() on user-defined arrays

  In this example, we will create our array, and use the clip() function on it.

  Output

• The Lower Limit of NumPy Clip is an Array

  As we have used an integer to specify the upper and the lower limit, we will use an array as the lower limit.

  Output

• The Upper Limit of numpy.clip() is an Array

  As we have used an integer to specify the upper and the lower limit, we will use an array as the upper limit.

  Output

• Lower and Upper Limit of numpy.clip() are Arrays

  In this example, we will use independent arrays as our upper and lower limits.

  Output

• The Shape of the Input Array and the Shape of the Upper and Lower Limit are Different

  If the shape of the input array is different than the shape of the upper or lower limit of the clip() function, we will get a value error

  Output

• NumPy Clip for 2D Arrays

  You may use Numpy Clip on an N-dimensional array as well. Clipping can assist you in getting rid of junk data, especially for 2D arrays that are useful for storing picture pixel values.

  Output