# xarray.ufuncs.iscomplex

### xarray.ufuncs.iscomplex *= <xarray.ufuncs._unary_ufunc object>*

xarray specific variant of [`numpy.iscomplex()`](https://numpy.org/doc/stable/reference/generated/numpy.iscomplex.html#numpy.iscomplex). Handles xarray objects by dispatching to the appropriate function for the underlying array type.

Documentation from numpy:

Returns a bool array, where True if input element is complex.

What is tested is whether the input has a non-zero imaginary part, not if
the input type is complex.

* **Parameters:**
  **x** ([array_like](https://numpy.org/doc/stable/glossary.html#term-array_like)) – Input array.
* **Returns:**
  **out** ([`ndarray`](https://numpy.org/doc/stable/reference/generated/numpy.ndarray.html#numpy.ndarray) of `bools`) – Output array.

#### SEE ALSO
[`isreal`](xarray.ufuncs.isreal.html.md#xarray.ufuncs.isreal)

`iscomplexobj`
: Return True if x is a complex type or an array of complex numbers.

### Examples

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```pycon
>>> import numpy as np
>>> np.iscomplex([1+1j, 1+0j, 4.5, 3, 2, 2j])
array([ True, False, False, False, False,  True])
```

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