Merge pull request #3 from Ouranosinc/master

Update to latest xarray.

Author: jwenfai

.github/PULL_REQUEST_TEMPLATE.md

@@ -1,3 +1,5 @@
- - [ ] Closes #xxxx (remove if there is no corresponding issue, which should only be the case for minor changes)
- - [ ] Tests added (for all bug fixes or enhancements)
- - [ ] Fully documented, including `whats-new.rst` for all changes and `api.rst` for new API (remove if this change should not be visible to users, e.g., if it is an internal clean-up, or if this is part of a larger project that will be documented later)
+<!-- Feel free to remove check-list items aren't relevant to your change -->
+
+ - [ ] Closes #xxxx
+ - [ ] Tests added
+ - [ ] Fully documented, including `whats-new.rst` for all changes and `api.rst` for new API

ci/requirements-py36-zarr-dev.yml

@@ -18,4 +18,4 @@ dependencies:
   - pip:
     - coveralls
     - pytest-cov
-    - git+https://github.com/alimanfoo/zarr.git
+    - git+https://github.com/zarr-developers/zarr.git

ci/requirements-py37.yml

@@ -1,13 +1,30 @@
 name: test_env
 channels:
-  - defaults
+  - conda-forge
 dependencies:
   - python=3.7
+  - cftime
+  - dask
+  - distributed
+  - h5py
+  - h5netcdf
+  - matplotlib
+  - netcdf4
+  - pytest
+  - flake8
+  - numpy
+  - pandas
+  - scipy
+  - seaborn
+  - toolz
+  - rasterio
+  - bottleneck
+  - zarr
+  - pseudonetcdf>=3.0.1
+  - eccodes
   - pip:
-    - pytest
-    - flake8
-    - mock
-    - numpy
-    - pandas
     - coveralls
     - pytest-cov
+    - pydap
+    - lxml
+    - cfgrib>=0.9.2

doc/api.rst

@@ -377,7 +377,7 @@ Universal functions
 .. warning::
 
    With recent versions of numpy, dask and xarray, NumPy ufuncs are now
-   supported directly on all xarray and dask objects. This obliviates the need
+   supported directly on all xarray and dask objects. This obviates the need
    for the ``xarray.ufuncs`` module, which should not be used for new code
    unless compatibility with versions of NumPy prior to v1.13 is required.
 

doc/computation.rst

@@ -164,9 +164,8 @@ Note that rolling window aggregations are faster when bottleneck_ is installed.
 
 We can also manually iterate through ``Rolling`` objects:
 
-.. ipython:: python
+.. code:: python
 
-   @verbatim
    for label, arr_window in r:
       # arr_window is a view of x
 
@@ -268,7 +267,7 @@ This means, for example, that you always subtract an array from its transpose:
 
     c - c.T
 
-You can explicitly broadcast xaray data structures by using the
+You can explicitly broadcast xarray data structures by using the
 :py:func:`~xarray.broadcast` function:
 
 .. ipython:: python
@@ -298,9 +297,9 @@ operations. The default result of a binary operation is by the *intersection*
 If coordinate values for a dimension are missing on either argument, all
 matching dimensions must have the same size:
 
-.. ipython:: python
+.. ipython::
+    :verbatim:
 
-    @verbatim
     In [1]: arr + xr.DataArray([1, 2], dims='x')
     ValueError: arguments without labels along dimension 'x' cannot be aligned because they have different dimension size(s) {2} than the size of the aligned dimension labels: 3