issue_comments: 459022819

Ya sounds good.

Though this job is showing a bunch more: https://travis-ci.org/pydata/xarray/jobs/486320561. We can leave these for a future PR.

/home/travis/miniconda/envs/test_env/lib/python3.6/site-packages/dask/array/blockwise.py:204: UserWarning: The da.atop function has moved to da.blockwise warnings.warn("The da.atop function has moved to da.blockwise")

xarray/tests/test_plot.py::TestPlot::test_2d_coords_line_plot /home/travis/build/pydata/xarray/xarray/tests/test_plot.py:213: PytestDeprecationWarning: The 'message' parameter is deprecated. (did you mean to use `match='some regex'` to check the exception message?) Please comment on https://github.com/pytest-dev/pytest/issues/3974 if you have concerns about removal of this parameter. with pytest.raises(ValueError, message='If x or y are 2D '):

xarray/tests/test_dataset.py::TestDataset::test_to_dict_with_numpy_attrs /home/travis/miniconda/envs/test_env/lib/python3.6/site-packages/numpy/lib/type_check.py:546: DeprecationWarning: np.asscalar(a) is deprecated since NumPy v1.16, use a.item() instead 'a.item() instead', DeprecationWarning, stacklevel=1) /home/travis/miniconda/envs/test_env/lib/python3.6/site-packages/numpy/lib/type_check.py:546: DeprecationWarning: np.asscalar(a) is deprecated since NumPy v1.16, use a.item() instead 'a.item() instead', DeprecationWarning, stacklevel=1) /home/travis/miniconda/envs/test_env/lib/python3.6/site-packages/numpy/lib/type_check.py:546: DeprecationWarning: np.asscalar(a) is deprecated since NumPy v1.16, use a.item() instead 'a.item() instead', DeprecationWarning, stacklevel=1)

xarray/tests/test_dataarray.py::TestDataArray::test_to_and_from_cdms2_sgrid /home/travis/miniconda/envs/test_env/lib/python3.6/site-packages/numpy/ma/core.py:7705: DeprecationWarning: elementwise comparison failed; this will raise an error in the future. if not np.all(xinf == filled(np.isinf(y), False)): /home/travis/miniconda/envs/test_env/lib/python3.6/site-packages/numpy/ma/core.py:7705: DeprecationWarning: elementwise comparison failed; this will raise an error in the future. if not np.all(xinf == filled(np.isinf(y), False)): /home/travis/miniconda/envs/test_env/lib/python3.6/site-packages/numpy/ma/core.py:7705: DeprecationWarning: elementwise comparison failed; this will raise an error in the future. if not np.all(xinf == filled(np.isinf(y), False)): /home/travis/miniconda/envs/test_env/lib/python3.6/site-packages/numpy/ma/core.py:7705: DeprecationWarning: elementwise comparison failed; this will raise an error in the future. if not np.all(xinf == filled(np.isinf(y), False)): /home/travis/miniconda/envs/test_env/lib/python3.6/site-packages/cdms2/axis.py:825: UserWarning: genutil module not present, was not able to determine if axis is level based on units "genutil module not present, was not able to determine if axis is level based on units")

3.5 is triggering this (https://travis-ci.org/pydata/xarray/jobs/486320560): /home/travis/miniconda/envs/test_env/lib/python3.5/site-packages/numpy/ma/core.py:6447: MaskedArrayFutureWarning: In the future the default for ma.maximum.reduce will be axis=0, not the current None, to match np.maximum.reduce. Explicitly pass 0 or None to silence this warning. return self.reduce(a)