numpy.bmat(obj, l_dict = None, g_dict = None) : Return specialised 2-D matrix from nested objects that can be string-like or array-like.
object : array-like or string l_dict : (dict, optional) replaces local operands, A dictionary that replaces local operands in current frame g_dict : (dict, optional) replaces global operands, A dictionary that replaces global operands in current frame.
2-D matrix from nested objects
Via bmat array like input : [[ 4 1 5 2] [22 1 5 2] [ 8 4 4 1] [ 6 6 22 1]] Via bmat string like input : [[ 4 1 5 2] [22 1 5 2] [ 4 1 4 1] [22 1 22 1]]
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
- Reading Python File-Like Objects from C | Python
- Python | Merge Python key values to list
- 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)
- pow() in Python
- Python vs PHP
- SHA in Python
- Use of min() and max() in Python
- gcd() in Python
- abs() in Python
- zip() in Python