``````

In [4]:

import xarray as xr
import numpy as np

``````
``````

In [47]:

arr = xr.DataArray(np.arange(16).reshape(4, 4),[('x', ['a', 'b', 'c', 'd']), ('y', [10, 20, 30, 40])],name='sample')

``````
``````

In [48]:

arr.name

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``````

Out[48]:

'sample'

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``````

In [55]:

arr

``````
``````

Out[55]:

<xarray.DataArray 'sample' (x: 4, y: 4)>
array([[ 0,  1,  2,  3],
[ 4,  5,  6,  7],
[ 8,  9, 10, 11],
[12, 13, 14, 15]])
Coordinates:
* x        (x) <U1 'a' 'b' 'c' 'd'
* y        (y) int32 10 20 30 40

``````
``````

In [59]:

arr.mean(['x','y'])

``````
``````

Out[59]:

<xarray.DataArray 'sample' ()>
array(7.5)

``````
``````

In [26]:

arr+10

``````
``````

Out[26]:

<xarray.DataArray 'sample' (x: 4, y: 3)>
array([[10, 11, 12],
[13, 14, 15],
[16, 17, 18],
[19, 20, 21]])
Coordinates:
* x        (x) <U1 'a' 'b' 'c' 'd'
* y        (y) int32 10 20 30

``````
``````

In [45]:

nan_arr = xr.DataArray([[0, 1, np.nan, np.nan, 2],[0, 1, np.nan, np.nan, 2]], dims=(['x', 'y']), name='1D_with_nan')

``````
``````

In [46]:

nan_arr

``````
``````

Out[46]:

<xarray.DataArray '1D_with_nan' (x: 2, y: 5)>
array([[  0.,   1.,  nan,  nan,   2.],
[  0.,   1.,  nan,  nan,   2.]])
Coordinates:
* x        (x) int64 0 1
* y        (y) int64 0 1 2 3 4

``````
``````

In [33]:

nan_arr.isnull()

``````
``````

Out[33]:

<xarray.DataArray '1D_with_nan' (x: 5)>
array([False, False,  True,  True, False], dtype=bool)
Coordinates:
* x        (x) int64 0 1 2 3 4

``````
``````

In [35]:

nan_arr.notnull()

``````
``````

Out[35]:

<xarray.DataArray '1D_with_nan' (x: 5)>
array([ True,  True, False, False,  True], dtype=bool)
Coordinates:
* x        (x) int64 0 1 2 3 4

``````
``````

In [36]:

nan_arr.count()

``````
``````

Out[36]:

<xarray.DataArray '1D_with_nan' ()>
array(3)

``````
``````

In [39]:

nan_arr.dropna(dim='x')

``````
``````

Out[39]:

<xarray.DataArray '1D_with_nan' (x: 3)>
array([ 0.,  1.,  2.])
Coordinates:
* x        (x) int64 0 1 4

``````
``````

In [42]:

nan_arr.fillna('a')

``````
``````

Out[42]:

<xarray.DataArray '1D_with_nan' (x: 5)>
array(['0.0', '1.0', 'a', 'a', '2.0'],
dtype='<U32')
Coordinates:
* x        (x) int64 0 1 2 3 4

``````
``````

In [ ]:

``````