NumPy: Partition an array in a specified position and move all the smaller elements to the left
NumPy Sorting and Searching: Exercise-7 with Solution
Write a NumPy program to partition a given array in a specified position and move all the smaller elements values to the left of the partition, and the remaining values to the right, in arbitrary order (based on random choice).
Sample Solution:
Python Code:
import numpy as np
nums = np.array([70, 50, 20, 30, -11, 60, 50, 40])
print("Original array:")
print(nums)
print("\nAfter partitioning on 4 the position:")
print(np.partition(nums, 4))
Sample Output:
Original array: [ 70 50 20 30 -11 60 50 40] After partitioning on 4 the position: [-11 30 20 40 50 50 60 70]
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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