numpy.isrealobj() in Python (original) (raw)
Last Updated : 07 Aug, 2019
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.
Return :
True, if the input array hasn't any complex element; otherwise False
Code 1 :
import
numpy as np
in_array
=
[
1
,
3
,
5
,
4
]
print
(
"Input array : "
, in_array)
output_value
=
np.isrealobj(in_array)
print
(
"\nIs real : "
, output_value)
Output :
Input array : [1, 3, 5, 4]
Is real : True
Code 2 :
import
numpy as geek
a
=
geek.arange(
20
).reshape(
5
,
4
)
print
(
"Is real : "
, geek.isrealobj(a))
b
=
geek.arange(
20
).reshape(
5
,
4
).dtype
=
complex
print
(
"\n"
,b)
print
(
"\nIs real : "
, geek.isrealobj(b))
b
=
[[
1j
],
`` [
3
]]
print
(
"\nIs real : "
, geek.isrealobj(b))
Output :
Is real : True
class 'complex'
Is real : True
Is real : False
References :
https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.isrealobj.html#numpy.isrealobj
.
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