Numpy 1.13 for rtd

doc/api-hidden.rst

@@ -22,13 +22,6 @@
    Dataset.std
    Dataset.var
 
-   Dataset.isnull
-   Dataset.notnull
-   Dataset.count
-   Dataset.dropna
-   Dataset.fillna
-   Dataset.where
-
    core.groupby.DatasetGroupBy.assign
    core.groupby.DatasetGroupBy.assign_coords
    core.groupby.DatasetGroupBy.first
@@ -68,13 +61,6 @@
    DataArray.std
    DataArray.var
 
-   DataArray.isnull
-   DataArray.notnull
-   DataArray.count
-   DataArray.dropna
-   DataArray.fillna
-   DataArray.where
-
    core.groupby.DataArrayGroupBy.assign_coords
    core.groupby.DataArrayGroupBy.first
    core.groupby.DataArrayGroupBy.last

doc/api.rst

@@ -113,6 +113,22 @@ Indexing
    Dataset.reset_index
    Dataset.reorder_levels
 
+Missing value handling
+----------------------
+
+.. autosummary::
+   :toctree: generated/
+
+   Dataset.isnull
+   Dataset.notnull
+   Dataset.count
+   Dataset.dropna
+   Dataset.fillna
+   Dataset.ffill
+   Dataset.bfill
+   Dataset.interpolate_na
+   Dataset.where
+
 Computation
 -----------
 
@@ -142,17 +158,6 @@ Computation
 :py:attr:`~Dataset.std`
 :py:attr:`~Dataset.var`
 
-**Missing values**:
-:py:attr:`~Dataset.isnull`
-:py:attr:`~Dataset.notnull`
-:py:attr:`~Dataset.count`
-:py:attr:`~Dataset.dropna`
-:py:attr:`~Dataset.fillna`
-:py:attr:`~Dataset.ffill`
-:py:attr:`~Dataset.bfill`
-:py:attr:`~Dataset.interpolate_na`
-:py:attr:`~Dataset.where`
-
 **ndarray methods**:
 :py:attr:`~Dataset.argsort`
 :py:attr:`~Dataset.clip`
@@ -256,6 +261,22 @@ Indexing
    DataArray.reset_index
    DataArray.reorder_levels
 
+Missing value handling
+----------------------
+
+.. autosummary::
+  :toctree: generated/
+
+  DataArray.isnull
+  DataArray.notnull
+  DataArray.count
+  DataArray.dropna
+  DataArray.fillna
+  DataArray.ffill
+  DataArray.bfill
+  DataArray.interpolate_na
+  DataArray.where
+
 Comparisons
 -----------
 
@@ -296,17 +317,6 @@ Computation
 :py:attr:`~DataArray.std`
 :py:attr:`~DataArray.var`
 
-**Missing values**:
-:py:attr:`~DataArray.isnull`
-:py:attr:`~DataArray.notnull`
-:py:attr:`~DataArray.count`
-:py:attr:`~DataArray.dropna`
-:py:attr:`~DataArray.fillna`
-:py:attr:`~DataArray.ffill`
-:py:attr:`~DataArray.bfill`
-:py:attr:`~DataArray.interpolate_na`
-:py:attr:`~DataArray.where`
-
 **ndarray methods**:
 :py:attr:`~DataArray.argsort`
 :py:attr:`~DataArray.clip`

doc/computation.rst

@@ -71,8 +71,8 @@ methods for working with missing data from pandas:
     x.count()
     x.dropna(dim='x')
     x.fillna(-1)
-    x.ffill()
-    x.bfill()
+    x.ffill('x')
+    x.bfill('x')
 
 Like pandas, xarray uses the float value ``np.nan`` (not-a-number) to represent
 missing values.

doc/dask.rst

@@ -49,7 +49,7 @@ argument to :py:func:`~xarray.open_dataset` or using the
 :py:func:`~xarray.open_mfdataset` function.
 
 .. ipython:: python
-   :suppress:
+    :suppress:
 
     import numpy as np
     import pandas as pd

doc/environment.yml

@@ -3,9 +3,11 @@ channels:
   - conda-forge
   - defaults
 dependencies:
-  - python=3.5
-  - numpy=1.11.2
+  - python=3.6
+  - numpy=1.13
   - pandas=0.21.0
+  - scipy=1.0
+  - bottleneck
   - numpydoc=0.7.0
   - matplotlib=2.0.0
   - seaborn=0.8