numpy.isrealobj() in Python

numpy.iscomplexobj() in Python

Last Updated : 11 May, 2021

numpy.iscomplexobj(array) : This logical function helps to checks for the complex type of an array or array of a complex number. Even if imaginary part is equal to zero, it is considered to be an Complex Object.

Parameters :

array    : [array_like]Input array or object whose elements, we need to test.

Return :

True, if the input array has a complex element; otherwise False

Code 1 :

Python

# Python program explaining
# iscomplexobj() function
import numpy as np
 
in_array = [1, 3, 5, 4]
print ("Input array : ", in_array)
 
output_value = np.iscomplexobj(in_array)
print ("\nIs complex : ", output_value)

Output :

Input array :  [1, 3, 5, 4]

Is complex :  False

Code 2 :

Python

# Python Program illustrating
# numpy.iscomplexobj() method
import numpy as geek 
   
# Returns True/False value for each element 
a = geek.arange(20).reshape(5, 4)
print("Is complex : \n", geek.iscomplexobj(a))
   
# Returns True/False value as ans 
# because we have mentioned dtpe in the beginning
b = geek.arange(20).reshape(5, 4).dtype = complex
                 
print("\n",b)
print("\nIs complex : ", geek.iscomplexobj(b))
  
  
b = [[1j], 
     [3]]
print("\nIs complex : \n", geek.iscomplexobj(b))

Output :

Is complex : 
 False

 class 'complex'

Is complex :  False

Is complex : 
 True

References :
https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.iscomplexobj.html#numpy.iscomplexobj

numpy.isrealobj() in Python

mohit gupta_omg :)

Improve

Article Tags :

Practice Tags :

python

Similar Reads

numpy.iscomplex() in Python

The numpy.iscomplex() function tests element-wise whether it is a complex number or not(not infinity or not Not a Number) and returns the result as a boolean array. Syntax : numpy.iscomplex(array) Parameters : array : [array_like] Input array whose element we want to test Return : boolean array cont

numpy.isrealobj() in Python

numpy.isrealobj(array) : This logical function helps to checks if the array has no complex type or array has a complex number. Even if imaginary part is equal to zero, it is not considered to be a Real Object. Parameters : array : [array_like]Input array or object whose elements, we need to test. Re

numpy.isposinf() in Python

The numpy.isposinf() function tests element-wise whether it is positive infinity or not and returns the result as a boolean array. Syntax : numpy.isposinf(array, y = None) Parameters: array : [array_like]Input array or object whose elements, we need to test for infinity. y : [array_like]A boolean ar

numpy.isreal() in Python

numpy.isreal(array) : Test element-wise whether it is a real number or not(not infinity or not Not a Number) and return the result as a boolean array. Parameters : array : [array_like] Input array whose element we want to test Return : boolean array containing the result Code 1 : Python Code # Pytho

numpy.less() in Python

The numpy.less() : checks whether x1 is lesser than x2 or not. Syntax : numpy.less(x1, x2[, out]) Parameters : x1, x2 : [array_like]Input arrays. If x1.shape != x2.shape, they must be broadcastable to a common shape out : [ndarray, boolean]Array of bools, or a single bool if x1 and x2 are scalars. R

numpy.isinf() in Python

The numpy.isinf() function tests element-wise whether it is +ve or -ve infinity or not return the result as a boolean array. Syntax: numpy.isinf(array [, out]) Parameters : array : [array_like]Input array or object whose elements, we need to test for infinity out : [ndarray, optional]Output array pl

Python | numpy.isin() method

With the help of numpy.isin() method, we can see that one array having values are checked in a different numpy array having different elements with different sizes. Syntax : numpy.isin(target_array, list) Return : Return boolean array having same size as of target_array. Example #1 : In this example

numpy.isneginf() in Python

The numpy.isneginf() function tests element-wise whether it is negative infinity or not, and returns the result as a boolean array. Syntax : numpy.isneginf(array, y = None) Parameters : array : [array_like]Input array or object whose elements, we need to test for infinity. y : [array_like]A boolean

numpy.isnan() in Python

The numpy.isnan() function tests element-wise whether it is NaN or not and returns the result as a boolean array. Syntax : numpy.isnan(array [, out]) Parameters : array : [array_like]Input array or object whose elements, we need to test for infinity out : [ndarray, optional]Output array placed with

numpy.isfinite() in Python

The numpy.isfinite() function tests element-wise whether it is finite or not(not infinity or not Not a Number) and return the result as a boolean array. Syntax : numpy.isfinite(array [, out]) Parameters : array : [array_like]Input array or object whose elements, we need to test for infinity out : [n