print2d 0.2.1

print2d : Replacement of `print()` for printing 2d array with readability.

print2d : Print 2d array with readability

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]]