The iscomplex() function of NumPy module

Overview:

A complex number is the number of the form a+ib, where “a" is the real part and “b” is the imaginary part. Both “a” and “b” are real numbers.
Complex numbers have their applications from solving polynomials to describing wave forms, signal processing, fluid dynamics, quantum physics and other areas of science.
The NumPy function iscomplex() checks an element whether it is a complex number and the result is True if the imaginary part is non-zero. The results are returned as an array of Boolean values. When the input is scalar, the function returns a Boolean value.

Example:

In Python, a complex number can be directly constructed in two ways:

By invoking the built-in function complex().
By adding a complex number whose real part is zero(e.g., 1j, -2j, 5j) to a real or integer value e.g., 2+5j, 4-3j.

The NumPy example below constructs complex numbers using the second approach. e.g.,10+4j

# Example Python program that checks
# complex numbers for non-zero imaginary part
import numpy

# Create an ndarray
complexArray = numpy.ndarray(shape = (2, 2), dtype = complex)

complex1 = 10+4j
print(complex1)
print(type(complex1))

complex2 = 3+0j
print(complex2)
print(type(complex2))

complex3 = 0+1j
complex4 = 0+0j

# Populate the ndarray with complex numbers
complexArray[0][0] = complex1
complexArray[0][1] = complex2
complexArray[1][0] = complex3
complexArray[1][1] = complex4
print(complexArray)

# Check for complex numbers whose imaginary part is non-zero
resultArray = numpy.iscomplex(complexArray)
print(resultArray)

Output:

(10+4j)

(3+0j)

[[10.+4.j 3.+0.j]

[ 0.+1.j 0.+0.j]]

[[ True False]

[ True False]]