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Python | numpy.ma.ids() method
• Last Updated : 03 Oct, 2019

With the help of `numpy.ma.ids()` method, we can get the address of masked array having data by using `numpy.ma.ids()` method.

Syntax : `numpy.ma.ids(array, mask)`
Return : Return the address of masked array.

Example #1 :
In this example we can see that by using `numpy.ma.ids()` method, we are able to get the address of the targeted masked array.

 `# import numpy.ma``import` `numpy.ma as ma`` ` `# using numpy.ma.ids() method``gfg ``=` `ma.array([``1``, ``2``, ``4``, ``8``], mask ``=``[``1``, ``0``, ``0``, ``1``])`` ` `print``(gfg.ids())`

Output :

(2172543392448, 2172542026240)

Example #2 :

 `# import numpy.ma``import` `numpy.ma as ma`` ` `# using numpy.ma.ids() method``gfg ``=` `ma.array([[``1``, ``2``, ``3``], [``4``, ``5``, ``6``], [``7``, ``8``, ``9``]], ``         ``mask ``=``[[``1``, ``0``, ``0``], [``0``, ``1``, ``0``], [``0``, ``0``, ``1``]])`` ` `print``(gfg.ids())``print``(gfg)`

Output :

(2172299359856, 2172543392224)

masked_array(
data=[[–, 2, 3],
[4, –, 6],
[7, 8, –]],
mask=[[ True, False, False],
[False, True, False],
[False, False, True]],
fill_value=999999)

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