https://github.com/pjessesco/print2d

Replacement of `print()` for printing 2d array with readability including Torch and Numpy.
https://github.com/pjessesco/print2d

formatted-text numpy print python3 readability torch

Last synced: 25 days ago
JSON representation

Replacement of `print()` for printing 2d array with readability including Torch and Numpy.

• Host: GitHub
• URL: https://github.com/pjessesco/print2d
• Owner: pjessesco
• License: mit
• Created: 2021-03-12T07:02:20.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2021-03-30T05:30:57.000Z (almost 4 years ago)
• Last Synced: 2024-11-27T17:01:39.379Z (about 1 month ago)
• Topics: formatted-text, numpy, print, python3, readability, torch
• Language: Python
• Homepage:
• Size: 21.5 KB
• Stars: 2
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# print2d : Print 2d array with readability

[![PyPI version](https://badge.fury.io/py/print2d.svg)](https://badge.fury.io/py/print2d) 

Replacement of `print()` for printing 2d array with readability.

    print2d(mat1, "*" ,mat2, "=", mult)

    [[4.  3.  1.  1. ]  * [[1 2 3]  = [[26.  24.  39. ]  

     [6.  2.  4.  8. ]     [5 2 6]     [64.  84.  98. ]  

     [1.1 6.6 1.5 0.1]]    [2 3 1]     [37.6 20.6 45.2]] 

                           [5 7 8]]  

## Available types

 - Python `list`

 - NumPy `ndarray`

 - PyTorch `Tensor`

## Install

    pip install print2d

## Usage

Import this module 

    from print2d import *

`print2d()` function gets parameter separated with comma(,).

### Python list

    arr1 = [[1,2],[3,4], [5,6]]

    arr2 = [[1, 2, 3], [4, 5, 6]]

    print2d("arr1", arr1, "arr2", arr2)

---

    arr1 [[1, 2]  arr2 [[1, 2, 3]  

          [3, 4]        [4, 5, 6]] 

          [5, 6]]                  

### NumPy ndarray

    np1 = np.array([[1,2],[3,4], [5,6]])

    np2 = np.array([[1, 2, 3], [4, 5, 6]])

    print2d("np1", np1, "np2", np2)

---

    np1 [[1 2]  np2 [[1 2 3]  

         [3 4]       [4 5 6]] 

         [5 6]]        

### PyTorch Tensor

    tc1 = torch.tensor([[1,2],[3,4], [5,6]])

    tc2 = torch.tensor([[1, 2, 3], [4, 5, 6]])

    print2d("tc1", tc1, "tc2", tc2)

---

    tc1 tensor([[1, 2],  tc2 tensor([[1, 2, 3],  

                [3, 4],              [4, 5, 6]]) 

                [5, 6]])    

### Combination

    arr1 = [[1,2],[3,4], [5,6]]

    np2 = np.array([[1, 2, 3], [4, 5, 6]])

    print2d("arr1", arr1, "np2", np2)

---

    arr1 [[1, 2]  np2 [[1 2 3]  

          [3, 4]       [4 5 6]] 

          [5, 6]]