Merge remote-tracking branch 'upstream/master' into fix/allow_lazy

* upstream/master: (27 commits)
  drop_vars; deprecate drop for variables (pydata#3475)
  uamiv test using only raw uamiv variables (pydata#3485)
  Optimize dask array equality checks. (pydata#3453)
  Propagate indexes in DataArray binary operations. (pydata#3481)
  python 3.8 tests (pydata#3477)
  __dask_tokenize__ (pydata#3446)
  Type check sentinel values (pydata#3472)
  Fix typo in docstring (pydata#3474)
  fix test suite warnings re `drop` (pydata#3460)
  Fix integrate docs (pydata#3469)
  Fix leap year condition in monthly means example (pydata#3464)
  Hypothesis tests for roundtrip to & from pandas (pydata#3285)
  unpin cftime (pydata#3463)
  Cleanup whatsnew (pydata#3462)
  enable xr.ALL_DIMS in xr.dot (pydata#3424)
  Merge stable into master (pydata#3457)
  upgrade black verison to 19.10b0 (pydata#3456)
  Remove outdated code related to compatibility with netcdftime (pydata#3450)
  Remove deprecated behavior from dataset.drop docstring (pydata#3451)
  jupyterlab dark theme (pydata#3443)
  ...

Author: dcherian

MANIFEST.in

@@ -6,3 +6,4 @@ prune doc/generated
 global-exclude .DS_Store
 include versioneer.py
 include xarray/_version.py
+recursive-include xarray/static *

README.rst

@@ -138,4 +138,7 @@ under a "3-clause BSD" license:
 xarray also bundles portions of CPython, which is available under the "Python
 Software Foundation License" in xarray/core/pycompat.py.
 
+xarray uses icons from the icomoon package (free version), which is
+available under the "CC BY 4.0" license.
+
 The full text of these licenses are included in the licenses directory.

azure-pipelines.yml

@@ -18,6 +18,8 @@ jobs:
         conda_env: py36
       py37:
         conda_env: py37
+      py38:
+        conda_env: py38
       py37-upstream-dev:
         conda_env: py37
         upstream_dev: true

ci/requirements/py36-min-all-deps.yml

@@ -13,7 +13,7 @@ dependencies:
   - cartopy=0.17
   - cdms2=3.1
   - cfgrib=0.9
-  - cftime=1.0.3  # FIXME need 1.0.5 (not released yet); 1.0.4 is broken
+  - cftime=1.0
   - coveralls
   - dask=1.2
   - distributed=1.27

ci/requirements/py36.yml

@@ -9,7 +9,7 @@ dependencies:
   - cartopy
   - cdms2
   - cfgrib
-  - cftime<1.0.4  # FIXME need 1.0.5 (not released yet); 1.0.4 is broken
+  - cftime
   - coveralls
   - dask
   - distributed

ci/requirements/py37-windows.yml

@@ -9,7 +9,7 @@ dependencies:
   - cartopy
   # - cdms2  # Not available on Windows
   # - cfgrib  # Causes Python interpreter crash on Windows
-  - cftime<1.0.4  # FIXME need 1.0.5 (not released yet); 1.0.4 is broken
+  - cftime
   - coveralls
   - dask
   - distributed

ci/requirements/py37.yml

@@ -9,7 +9,7 @@ dependencies:
   - cartopy
   - cdms2
   - cfgrib
-  - cftime<1.0.4  # FIXME need 1.0.5 (not released yet); 1.0.4 is broken
+  - cftime
   - coveralls
   - dask
   - distributed

ci/requirements/py38.yml

@@ -0,0 +1,15 @@
+name: xarray-tests
+channels:
+  - conda-forge
+dependencies:
+  - python=3.8
+  - pip
+  - pip:
+      - coveralls
+      - dask
+      - distributed
+      - numpy
+      - pandas
+      - pytest
+      - pytest-cov
+      - pytest-env

doc/data-structures.rst

@@ -393,14 +393,14 @@ methods (like pandas) for transforming datasets into new objects.
 
 For removing variables, you can select and drop an explicit list of
 variables by indexing with a list of names or using the
-:py:meth:`~xarray.Dataset.drop` methods to return a new ``Dataset``. These
+:py:meth:`~xarray.Dataset.drop_vars` methods to return a new ``Dataset``. These
 operations keep around coordinates:
 
 .. ipython:: python
 
     ds[['temperature']]
     ds[['temperature', 'temperature_double']]
-    ds.drop('temperature')
+    ds.drop_vars('temperature')
 
 To remove a dimension, you can use :py:meth:`~xarray.Dataset.drop_dims` method.
 Any variables using that dimension are dropped:
@@ -411,7 +411,7 @@ Any variables using that dimension are dropped:
 
 As an alternate to dictionary-like modifications, you can use
 :py:meth:`~xarray.Dataset.assign` and :py:meth:`~xarray.Dataset.assign_coords`.
-These methods return a new dataset with additional (or replaced) or values:
+These methods return a new dataset with additional (or replaced) values:
 
 .. ipython:: python
 
@@ -420,7 +420,7 @@ These methods return a new dataset with additional (or replaced) or values:
 There is also the :py:meth:`~xarray.Dataset.pipe` method that allows you to use
 a method call with an external function (e.g., ``ds.pipe(func)``) instead of
 simply calling it (e.g., ``func(ds)``). This allows you to write pipelines for
-transforming you data (using "method chaining") instead of writing hard to
+transforming your data (using "method chaining") instead of writing hard to
 follow nested function calls:
 
 .. ipython:: python

doc/examples/monthly-means.rst

@@ -83,7 +83,7 @@ the ``calendar.month_range`` function.
 
         for i, (month, year) in enumerate(zip(time.month, time.year)):
             month_length[i] = cal_days[month]
-            if leap_year(year, calendar=calendar):
+            if leap_year(year, calendar=calendar) and month == 2:
                 month_length[i] += 1
         return month_length