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Nov 28, 2019
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Examples for quantile #3576

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cbdd7f6
add examples for Dataset.quantile
keewis Nov 26, 2019
4ca4093
add examples for DataArray.quantile
keewis Nov 26, 2019
25a8c3b
add examples for GroupBy.quantile
keewis Nov 27, 2019
e3305e7
rename the example sections
keewis Nov 27, 2019
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37 changes: 37 additions & 0 deletions xarray/core/dataarray.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2971,6 +2971,43 @@ def quantile(
See Also
--------
numpy.nanpercentile, pandas.Series.quantile, Dataset.quantile

Examples
--------

>>> da = xr.DataArray(
... data=[[0.7, 4.2, 9.4, 1.5], [6.5, 7.3, 2.6, 1.9]],
... coords={"x": [7, 9], "y": [1, 1.5, 2, 2.5]},
... dims=("x", "y"),
... )

Single quantile
>>> da.quantile(0) # or da.quantile(0, dim=...)
<xarray.DataArray ()>
array(0.7)
Coordinates:
quantile float64 0.0
>>> da.quantile(0, dim="x")
<xarray.DataArray (y: 4)>
array([0.7, 4.2, 2.6, 1.5])
Coordinates:
* y (y) float64 1.0 1.5 2.0 2.5
quantile float64 0.0

Multiple quantiles
>>> da.quantile([0, 0.5, 1])
<xarray.DataArray (quantile: 3)>
array([0.7, 3.4, 9.4])
Coordinates:
* quantile (quantile) float64 0.0 0.5 1.0
>>> da.quantile([0, 0.5, 1], dim="x")
<xarray.DataArray (quantile: 3, y: 4)>
array([[0.7 , 4.2 , 2.6 , 1.5 ],
[3.6 , 5.75, 6. , 1.7 ],
[6.5 , 7.3 , 9.4 , 1.9 ]])
Coordinates:
* y (y) float64 1.0 1.5 2.0 2.5
* quantile (quantile) float64 0.0 0.5 1.0
"""

ds = self._to_temp_dataset().quantile(
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42 changes: 42 additions & 0 deletions xarray/core/dataset.py
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Expand Up @@ -5116,6 +5116,48 @@ def quantile(
See Also
--------
numpy.nanpercentile, pandas.Series.quantile, DataArray.quantile

Examples
--------

>>> ds = xr.Dataset(
... {"a": (("x", "y"), [[0.7, 4.2, 9.4, 1.5], [6.5, 7.3, 2.6, 1.9]])},
... coords={"x": [7, 9], "y": [1, 1.5, 2, 2.5]},
... )

Single quantile
>>> ds.quantile(0) # or ds.quantile(0, dim=...)
<xarray.Dataset>
Dimensions: ()
Coordinates:
quantile float64 0.0
Data variables:
a float64 0.7
>>> ds.quantile(0, dim="x")
<xarray.Dataset>
Dimensions: (y: 4)
Coordinates:
* y (y) float64 1.0 1.5 2.0 2.5
quantile float64 0.0
Data variables:
a (y) float64 0.7 4.2 2.6 1.5

Multiple quantiles
>>> ds.quantile([0, 0.5, 1])
<xarray.Dataset>
Dimensions: (quantile: 3)
Coordinates:
* quantile (quantile) float64 0.0 0.5 1.0
Data variables:
a (quantile) float64 0.7 3.4 9.4
>>> ds.quantile([0, 0.5, 1], dim="x")
<xarray.Dataset>
Dimensions: (quantile: 3, y: 4)
Coordinates:
* y (y) float64 1.0 1.5 2.0 2.5
* quantile (quantile) float64 0.0 0.5 1.0
Data variables:
a (quantile, y) float64 0.7 4.2 2.6 1.5 3.6 ... 1.7 6.5 7.3 9.4 1.9
"""

if isinstance(dim, str):
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53 changes: 53 additions & 0 deletions xarray/core/groupby.py
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Expand Up @@ -597,6 +597,59 @@ def quantile(self, q, dim=None, interpolation="linear", keep_attrs=None):
--------
numpy.nanpercentile, pandas.Series.quantile, Dataset.quantile,
DataArray.quantile

Examples
--------

>>> da = xr.DataArray(
... [[1.3, 8.4, 0.7, 6.9], [0.7, 4.2, 9.4, 1.5], [6.5, 7.3, 2.6, 1.9]],
... coords={"x": [0, 0, 1], "y": [1, 1, 2, 2]},
... dims=("y", "y"),
... )
>>> ds = xr.Dataset({"a": da})

Single quantile
>>> da.groupby("x").quantile(0)
<xarray.DataArray (x: 2, y: 4)>
array([[0.7, 4.2, 0.7, 1.5],
[6.5, 7.3, 2.6, 1.9]])
Coordinates:
quantile float64 0.0
* y (y) int64 1 1 2 2
* x (x) int64 0 1
>>> ds.groupby("y").quantile(0, dim=...)
<xarray.Dataset>
Dimensions: (y: 2)
Coordinates:
quantile float64 0.0
* y (y) int64 1 2
Data variables:
a (y) float64 0.7 0.7

Multiple quantiles
>>> da.groupby("x").quantile([0, 0.5, 1])
<xarray.DataArray (x: 2, y: 4, quantile: 3)>
array([[[0.7 , 1. , 1.3 ],
[4.2 , 6.3 , 8.4 ],
[0.7 , 5.05, 9.4 ],
[1.5 , 4.2 , 6.9 ]],

[[6.5 , 6.5 , 6.5 ],
[7.3 , 7.3 , 7.3 ],
[2.6 , 2.6 , 2.6 ],
[1.9 , 1.9 , 1.9 ]]])
Coordinates:
* y (y) int64 1 1 2 2
* quantile (quantile) float64 0.0 0.5 1.0
* x (x) int64 0 1
>>> ds.groupby("y").quantile([0, 0.5, 1], dim=...)
<xarray.Dataset>
Dimensions: (quantile: 3, y: 2)
Coordinates:
* quantile (quantile) float64 0.0 0.5 1.0
* y (y) int64 1 2
Data variables:
a (y, quantile) float64 0.7 5.35 8.4 0.7 2.25 9.4
"""
if dim is None:
dim = self._group_dim
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