NumPy: Find the nearest value from a given value in an array
NumPy: Random Exercise-9 with Solution
Write a NumPy program to find the nearest value from a given value in an array.
Sample Solution :
Python Code :
import numpy as np
x = np.random.uniform(1, 12, 5)
v = 4
n = x.flat[np.abs(x - v).argmin()]
print(n)
Sample Output:
4.2507132388
Pictorial Presentation:
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
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