numpy.reshape(array, shape, order = ‘C’) : shapes an array without changing data of array.
array : [array_like]Input array shape : [int or tuples of int] e.g. if we are aranging an array with 10 elements then shaping it like numpy.reshape(4, 8) is wrong; we can order : [C-contiguous, F-contiguous, A-contiguous; optional] C-contiguous order in memory(last index varies the fastest) C order means that operating row-rise on the array will be slightly quicker FORTRAN-contiguous order in memory (first index varies the fastest). F order means that column-wise operations will be faster. ‘A’ means to read / write the elements in Fortran-like index order if, array is Fortran contiguous in memory, C-like order otherwise
Array which is reshaped without changing the data.
Original array : [0 1 2 3 4 5 6 7] array reshaped with 2 rows and 4 columns : [[0 1 2 3] [4 5 6 7]] array reshaped with 2 rows and 4 columns : [[0 1] [2 3] [4 5] [6 7]] Original array reshaped to 3D : [[[0 1] [2 3]] [[4 5] [6 7]]]
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.
- Python | Merge Python key values to list
- Reading Python File-Like Objects from C | Python
- Python | Index of Non-Zero elements in Python list
- Important differences between Python 2.x and Python 3.x with examples
- Python | Sort Python Dictionaries by Key or Value
- Python | Add Logging to Python Libraries
- Python | Set 4 (Dictionary, Keywords in Python)
- Python | Add Logging to a Python Script
- Python | Visualizing O(n) using Python
- Any & All in Python
- bin() in Python
- Python Set | pop()
- Python vs PHP
- Use of min() and max() in Python