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NumPy: Create an element-wise comparison (greater, greater_equal, less and less_equal) of two given arrays

NumPy: Basic Exercise-10 with Solution

Write a NumPy program to create an element-wise comparison (greater, greater_equal, less and less_equal) of two given arrays.

Sample Solution :

Python Code :

import numpy as np
x = np.array([3, 5])
y = np.array([2, 5])
print("Original numbers:")
print(x)
print(y)
print("Comparison - greater")
print(np.greater(x, y))
print("Comparison - greater_equal")
print(np.greater_equal(x, y))
print("Comparison - less")
print(np.less(x, y))
print("Comparison - less_equal")
print(np.less_equal(x, y))

Sample Output:

Original numbers:
[3 5]
[2 5]
Comparison - greater
[ True False]
Comparison - greater_equal
[ True  True]
Comparison - less
[False False]
Comparison - less_equal
[False  True]

Python-Numpy Code Editor:

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

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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