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Silence sphinx warnings: Round 2 #3592

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merged 7 commits into from
Dec 6, 2019
Merged

Silence sphinx warnings: Round 2 #3592

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88726fd
remove the sections from the quantile examples
keewis Dec 4, 2019
f787ebe
remove the attributes section from DataArray's docstring
keewis Dec 4, 2019
e8ada7c
Merge branch 'master' into silence-sphinx-warnings-round-2
keewis Dec 5, 2019
4f8a8d8
fix author error issues
keewis Dec 5, 2019
24ff48e
remove the newline in the GroupBy.quantile examples
keewis Dec 5, 2019
643ff0d
fix a few more links
keewis Dec 5, 2019
4114feb
CI: disable nit-picky warnings and fail on new warnings
keewis Dec 5, 2019
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2 changes: 1 addition & 1 deletion doc/whats-new.rst
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Expand Up @@ -30,7 +30,7 @@ New Features
By `Deepak Cherian <https://github.com/dcherian>`_.
- Added the :py:meth:`count` reduction method to both :py:class:`DatasetCoarsen`
and :py:class:`DataArrayCoarsen` objects. (:pull:`3500`)
By `Deepak Cherian <https://github.com/dcherian/>`_
By `Deepak Cherian <https://github.com/dcherian>`_
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Bug fixes
~~~~~~~~~
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17 changes: 0 additions & 17 deletions xarray/core/dataarray.py
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Expand Up @@ -235,19 +235,6 @@ class DataArray(AbstractArray, DataWithCoords):

Getting items from or doing mathematical operations with a DataArray
always returns another DataArray.

Attributes
----------
dims : tuple
Dimension names associated with this array.
values : numpy.ndarray
Access or modify DataArray values as a numpy array.
coords : dict-like
Dictionary of DataArray objects that label values along each dimension.
name : str or None
Name of this array.
attrs : dict
Dictionary for holding arbitrary metadata.
"""

_cache: Dict[str, Any]
Expand Down Expand Up @@ -3000,8 +2987,6 @@ def quantile(
... 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)
Expand All @@ -3013,8 +2998,6 @@ def quantile(
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])
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4 changes: 0 additions & 4 deletions xarray/core/dataset.py
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Expand Up @@ -5167,8 +5167,6 @@ def quantile(
... {"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: ()
Expand All @@ -5184,8 +5182,6 @@ def quantile(
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)
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5 changes: 0 additions & 5 deletions xarray/core/groupby.py
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Expand Up @@ -607,8 +607,6 @@ def quantile(self, q, dim=None, interpolation="linear", keep_attrs=None):
... 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],
Expand All @@ -625,15 +623,12 @@ def quantile(self, q, dim=None, interpolation="linear", keep_attrs=None):
* 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 ],
Expand Down