numpy.iscomplex() in Python (original) (raw)
Last Updated : 08 Mar, 2024
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 containing the result
Code 1 :
Python
import
numpy as geek
print
(
"Is Complex : "
, geek.iscomplex([
1
+
1j
,
1
+
0j
]),
"\n"
)
print
(
"Is Complex : "
, geek.iscomplex([
0
+
1j
,
0
]),
"\n"
)
Output :
Is Complex : [ True False]
Is Complex : [ True False]
Code 2 :
Python
import
numpy as geek
a
=
geek.arange(
20
).reshape(
5
,
4
)
print
(
"Is complex : \n"
, geek.iscomplex(a))
b
=
geek.arange(
20
).reshape(
5
,
4
).dtype
=
complex
print
(
"\n"
,b)
print
(
"\nIs complex : "
, geek.iscomplex(b))
b
=
[[
1j
],
`` [
3
]]
print
(
"\nIs complex : \n"
, geek.iscomplex(b))
Output :
Is complex : [[False False False False] [False False False False] [False False False False] [False False False False] [False False False False]]
Is complex : False
Is complex : [[ True] [False]]
Note : These codes won’t run on online IDE’s. So please, run them on your systems to explore the working.
Similar Reads
- numpy.iscomplexobj() in Python 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. 2 min read
- numpy.isscalar() in Python In this article, we will elucidate the `numpy.isscalar()` function through a well-documented code example and comprehensive explanation. Python numpy.isscalar() Syntax Syntax : numpy.isscalar(element) Parameters: element: The input element to be checked for scalar properties.Return Type: bool: Retur 3 min read
- 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 2 min read
- 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 2 min read
- 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 2 min read
- 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 2 min read
- 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 2 min read
- 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 2 min read
- 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 2 min read
- numpy.multiply() in Python The numpy.multiply() is a numpy function in Python which is used to find element-wise multiplication of two arrays or scalar (single value). It returns the product of two input array element by element. Syntax: numpy.multiply(arr1, arr2, out=None, where=True, casting='same_kind', order='K', dtype=No 3 min read