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NumPy: Save two given arrays into a single file in compressed format and load it

NumPy: Basic Exercise-36 with Solution

Write a NumPy program to save two given arrays into a single file in compressed format (.npz format) and load it.

Sample Solution :

Python Code :

import numpy as np
import os
x = np.arange(10)
y = np.arange(11, 20)
print("Original arrays:")
print(x)
print(y)
np.savez('temp_arra.npz', x=x, y=y)
print("Load arrays from the 'temp_arra.npz' file:")
with np.load('temp_arra.npz') as data:
    x2 = data['x']
    y2 = data['y']
    print(x2)
    print(y2)

Sample Output:

Original arrays:
[0 1 2 3 4 5 6 7 8 9]
[11 12 13 14 15 16 17 18 19]
Load arrays from the 'temp_arra.npz' file:
[0 1 2 3 4 5 6 7 8 9]
[11 12 13 14 15 16 17 18 19]

Python-Numpy Code Editor:

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Python: Tips of the Day

Find current directory and file's directory:

To get the full path to the directory a Python file is contained in, write this in that file:

import os 
dir_path = os.path.dirname(os.path.realpath(__file__))

(Note that the incantation above won't work if you've already used os.chdir() to change your current working directory, since the value of the __file__ constant is relative to the current working directory and is not changed by an os.chdir() call.)

To get the current working directory use

import os
cwd = os.getcwd()

Documentation references for the modules, constants and functions used above:

  • The os and os.path modules.
  • The __file__ constant
  • os.path.realpath(path) (returns "the canonical path of the specified filename, eliminating any symbolic links encountered in the path")
  • os.path.dirname(path) (returns "the directory name of pathname path")
  • os.getcwd() (returns "a string representing the current working directory")
  • os.chdir(path) ("change the current working directory to path")

Ref: https://bit.ly/3fy0R6m