Num py - printing arrays

 When printing arrays, NumPy follows a specific layout:

  • The last axis is printed from left to right.
  • The second-to-last axis is printed from top to bottom.
  • The rest of the axes are also printed from top to bottom, with each slice separated by an empty line.

Here are examples demonstrating how arrays are printed based on their dimensions:

  1. One-dimensional array (1D): 


  3. a = np.arange(6) print(a) # Output: # [0 1 2 3 4 5]


Two-dimensional array (2D):

b = np.arange(12).reshape(4, 3) print(b) # Output: # [[ 0 1 2] # [ 3 4 5] # [ 6 7 8] # [ 9 10 11]]


Three-dimensional array (3D):


c = np.arange(24).reshape(2, 3, 4) print(c) # Output: # [[[ 0 1 2 3] # [ 4 5 6 7] # [ 8 9 10 11]] # # [[12 13 14 15] # [16 17 18 19] # [20 21 22 23]]]


If an array is too large to be printed, NumPy will automatically skip the central part and only print the corners. You can change this behavior using set_printoptions to force NumPy to print the entire array

np.set_printoptions(threshold=sys.maxsize) # Import sys module first

This command disables the truncation of large arrays when printing.


Comments

Post a Comment

Popular posts from this blog

Adding constants to numpy array?

  To add a constant value to each element in a NumPy array, you can simply use the addition operator (+) with the constant value. NumPy will automatically broadcast the addition operation across all elements of the array. Here's how you can do it: import numpy as np # Create a NumPy array arr = np.array([1, 2, 3, 4, 5]) # Define the constant value constant = 10 # Add the constant value to each element of the array result = arr + constant print("Original array:", arr) print("Constant added to array:", result) This will output: Original array: [1 2 3 4 5] Constant added to array: [11 12 13 14 15] As you can see, the constant value (10) has been added to each element of the original array. This approach works for NumPy arrays of any shape and dimensionality.
Read more