numpy.empty(shape, dtype = float, order = ‘C’) : Return a new array of given shape and type, with random values.
-> shape : Number of rows -> order : C_contiguous or F_contiguous -> dtype : [optional, float(by Default)] Data type of returned array.
Matrix b : [ 0 1079574528] Matrix a : [[0 0] [0 0]] Matrix a : [[ 0. 0. 0.] [ 0. 0. 0.] [ 0. 0. 0.]]
Note : empty, unlike zeros, does not set the array values to zero, and may therefore be marginally faster.
Also, 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.
Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.
To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course.