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NumPy: Create an element-wise comparison (equal, equal within a tolerance) of two given arrays

NumPy: Basic Exercise-11 with Solution

Write a NumPy program to create an element-wise comparison (equal, equal within a tolerance) of two given arrays.

Sample Solution :

Python Code :

import numpy as np
x = np.array([72, 79, 85, 90, 150, -135, 120, -10, 60, 100])
y = np.array([72, 79, 85, 90, 150, -135, 120, -10, 60, 100.000001])
print("Original numbers:")
print(x)
print(y)
print("Comparison - equal:")
print(np.equal(x, y))
print("Comparison - equal within a tolerance:")
print(np.allclose(x, y))

Sample Output:

Original numbers:
[  72   79   85   90  150 -135  120  -10   60  100]
[  72.         79.         85.         90.        150.       -135.
  120.        -10.         60.        100.000001]
Comparison - equal:
[ True  True  True  True  True  True  True  True  True False]
Comparison - equal within a tolerance:
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