numpy.full(shape, fill_value, dtype = None, order = ‘C’) : Return a new array with the same shape and type as a given array filled with a fill_value.
shape : Number of rows order : C_contiguous or F_contiguous dtype : [optional, float(by Default)] Data type of returned array. fill_value : [bool, optional] Value to fill in the array.
Matrix a : [[67 67] [67 67]] Matrix c : [[ 10.1 10.1 10.1] [ 10.1 10.1 10.1] [ 10.1 10.1 10.1]]
These NumPy-Python programs won’t run on onlineID, so run them on your systems to explore them
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
- Reading Python File-Like Objects from C | Python
- Python | Index of Non-Zero elements in Python list
- Python | Convert list to Python array
- Python | Set 4 (Dictionary, Keywords in Python)
- Python | Add Logging to a Python Script
- Python | Add Logging to Python Libraries
- Python | Sort Python Dictionaries by Key or Value
- Python | Visualizing O(n) using Python
- SHA in Python
- Python Set | pop()
- Any & All in Python
- max() and min() in Python