# 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.
```

Return :

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

Code 1 :

 `# 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 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 begining ` `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```

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