👻 Check our latest review to choose the best laptop for Machine Learning engineers and Deep learning tasks!
numpy.empty_like (a, dtype = None, order = & # 39; K & # 39 ;, subok = True): return a new array with the same shape and type as this one array.
Parameters :
shape: Number of rows order: C_contiguous or F_contiguous dtype: [optional, float (by Default)] Data type of returned array. subok: [bool, optional] to make subclass of a or not
Return:
array with the same shape and type as a given array.
|
|
Output:
Matrix a : [16843008 1058682594] Matrix c: [[0 0 0] [0 0 0]]
Notes:
These codes will not work for online IDs. Please run them on your systems to see how they work.
This article is courtesy of Mohit Gupta_OMG
👻 Read also: what is the best laptop for engineering students?
We hope this article has helped you to resolve the problem. Apart from numpy.empty_like () in Python, check other NumPy-related topics. Want to excel in Python? See our review of the best Python online courses 2022. If you are interested in Data Science, check also how to learn programming in R. By the way, this material is also available in other languages: San Francisco | 2022-11-30 Maybe there are another answers? What numpy.empty_like () in Python exactly means?. I am just not quite sure it is the best method Boston | 2022-11-30 I was preparing for my coding interview, thanks for clarifying this - numpy.empty_like () in Python in Python is not the simplest one. I am just not quite sure it is the best method Rome | 2022-11-30 NumPy is always a bit confusing 😭 numpy.empty_like () in Python is not the only problem I encountered. I just hope that will not emerge anymore
