numpy.eye(R, C = None, k = 0, dtype = type <‘float’>) : Return a matrix having 1’s on the diagonal and 0’s elsewhere w.r.t. k.
R : Number of rows C : [optional] Number of columns; By default M = N k : [int, optional, 0 by default] Diagonal we require; k>0 means diagonal above main diagonal or vice versa. dtype : [optional, float(by Default)] Data type of returned array.
array of shape, R x C, an array where all elements are equal to zero, except for the k-th diagonal, whose values are equal to one.
Matrix b : [[ 1. 0.] [ 0. 1.]] Matrix a : [[ 0. 0. 0. 0. 0.] [ 1. 0. 0. 0. 0.] [ 0. 1. 0. 0. 0.] [ 0. 0. 1. 0. 0.]]
These codes won’t run on online-ID. Please run them on your systems to explore the working
This article is contributed by Mohit Gupta_OMG 😀. If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to firstname.lastname@example.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.
Please write comments if you find anything incorrect, or you want to share more information about the topic discussed above.
- Important differences between Python 2.x and Python 3.x with examples
- Python | Merge Python key values to list
- Python | Index of Non-Zero elements in Python list
- Python | Convert list to Python array
- Reading Python File-Like Objects from C | Python
- Python | Add Logging to Python Libraries
- Python | Add Logging to a Python Script
- Python | Sort Python Dictionaries by Key or Value
- Python | Set 4 (Dictionary, Keywords in Python)
- Python | Visualizing O(n) using Python
- SHA in Python
- chr() in Python
- try-except vs If in Python
- Any & All in Python