NumPy: Test element-wise for complex number, real number of a given array. Also test whether a given number is a scalar type or not
NumPy: Basic Exercise-8 with Solution
Write a NumPy program to test element-wise for complex number, real number of a given array. Also test whether a given number is a scalar type or not.
Sample Solution :
Python Code :
import numpy as np
a = np.array([1+1j, 1+0j, 4.5, 3, 2, 2j])
print("Original array")
print(a)
print("Checking for complex number:")
print(np.iscomplex(a))
print("Checking for real number:")
print(np.isreal(a))
print("Checking for scalar type:")
print(np.isscalar(3.1))
print(np.isscalar([3.1]))
Sample Output:
Original array [ 1.0+1.j 1.0+0.j 4.5+0.j 3.0+0.j 2.0+0.j 0.0+2.j] Checking for complex number: [ True False False False False True] Checking for real number: [False True True True True False] Checking for scalar type: True False
Pictorial Presentation:
Python-Numpy Code Editor:
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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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