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NumPy: Convert a given array into bytes, and load it as array

NumPy: Basic Exercise-38 with Solution

Write a NumPy program to convert a given array into bytes, and load it as array.

Sample Solution :

Python Code :

import numpy as np
import os
a = np.array([1, 2, 3, 4, 5, 6])
print("Original array:")
print(a)
a_bytes = a.tobytes()
a2 = np.frombuffer(a_bytes, dtype=a.dtype)
print("After loading, content of the text file:")
print(a2)
print(np.array_equal(a, a2))

Sample Output:

Original array:
[1 2 3 4 5 6]
After loading, content of the text file:
[1 2 3 4 5 6]
True

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