numpy.clip() function is used to 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.
Syntax : numpy.clip(a, a_min, a_max, out=None)
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 :
Input array : [1, 2, 3, 4, 5, 6, 7, 8] Output array : [2 2 3 4 5 6 6 6]
Code #2 :
Input array : [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] Output array : [3 4 3 4 5 6 7 8 9 9]
- Python | Merge Python key values to list
- Important differences between Python 2.x and Python 3.x with examples
- Reading Python File-Like Objects from C | Python
- Python | Sort Python Dictionaries by Key or Value
- Python | Add Logging to a Python Script
- Python | Add Logging to Python Libraries
- Python | Set 4 (Dictionary, Keywords in Python)
- Python Set | pop()
- set add() in python
- Use of min() and max() in Python
- bin() in Python
- SHA in Python
- max() and min() in Python
- Any & All in Python
If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to email@example.com. See your article appearing on the GeeksforGeeks main page and help other Geeks.
Please Improve this article if you find anything incorrect by clicking on the "Improve Article" button below.