NumPy: Count the number of "P" in a given array, element-wise
NumPy String: Exercise-15 with Solution
Write a NumPy program to count the number of "P" in a given array, element-wise.
Sample Solution:-
Python Code:
import numpy as np
x1 = np.array(['Python', 'PHP', 'JS', 'examples', 'html'], dtype=np.str)
print("\nOriginal Array:")
print(x1)
print("Number of ‘P’:")
r = np.char.count(x1, "P")
print(r)
Sample Input:
(['Python', 'PHP', 'JS', 'examples', 'html'], dtype=np.str)
Sample Output:
Original Array: ['Python' 'PHP' 'JS' 'examples' 'html'] Number of ‘P’: [1 2 0 0 0]
Pictorial Presentation:
Python-Numpy Code Editor:
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Previous: Write a NumPy program to test equal, not equal, greater equal, greater and less test of all the elements of two given arrays.
Next: Write a NumPy program to count the lowest index of "P" in a given array, element-wise.
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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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