NumPy: Numbers from a given array which are less and greater than a specified number
NumPy: Basic Exercise-53 with Solution
Write a NumPy program to extract all numbers from a given array which are less and greater than a specified number.
Sample Solution:
Python Code :
import numpy as np
nums = np.array([[5.54, 3.38, 7.99],
[3.54, 4.38, 6.99],
[1.54, 2.39, 9.29]])
print("Original array:")
print(nums)
n = 5
print("\nElements of the said array greater than",n)
print(nums[nums > n])
n = 6
print("\nElements of the said array less than",n)
print(nums[nums < n])
Sample Output:
Original array: [[5.54 3.38 7.99] [3.54 4.38 6.99] [1.54 2.39 9.29]] Elements of the said array greater than 5 [5.54 7.99 6.99 9.29] Elements of the said array less than 6 [5.54 3.38 3.54 4.38 1.54 2.39]
Python-Numpy Code Editor:
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Next: Write a NumPy program to replace all numbers in a given array which is equal, less and greater to a given number.
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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")
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