Stop loading tutorial data by default

doc/indexing.rst

@@ -411,7 +411,7 @@ can use indexing with ``.loc`` :
 
 .. ipython:: python
 
-    ds = xr.tutorial.load_dataset('air_temperature')
+    ds = xr.tutorial.open_dataset('air_temperature')
 
     #add an empty 2D dataarray
     ds['empty']= xr.full_like(ds.air.mean('time'),fill_value=0)

doc/interpolation.rst

@@ -262,7 +262,7 @@ Let's see how :py:meth:`~xarray.DataArray.interp` works on real data.
 .. ipython:: python
 
     # Raw data
-    ds = xr.tutorial.load_dataset('air_temperature').isel(time=0)
+    ds = xr.tutorial.open_dataset('air_temperature').isel(time=0)
     fig, axes = plt.subplots(ncols=2, figsize=(10, 4))
     ds.air.plot(ax=axes[0])
     axes[0].set_title('Raw data')

doc/plotting.rst

@@ -60,7 +60,7 @@ For these examples we'll use the North American air temperature dataset.
 
 .. ipython:: python
 
-    airtemps = xr.tutorial.load_dataset('air_temperature')
+    airtemps = xr.tutorial.open_dataset('air_temperature')
     airtemps
 
     # Convert to celsius
@@ -585,7 +585,7 @@ This script will plot the air temperature on a map.
 .. ipython:: python
 
     import cartopy.crs as ccrs
-    air = xr.tutorial.load_dataset('air_temperature').air
+    air = xr.tutorial.open_dataset('air_temperature').air
     ax = plt.axes(projection=ccrs.Orthographic(-80, 35))
     air.isel(time=0).plot.contourf(ax=ax, transform=ccrs.PlateCarree());
     @savefig plotting_maps_cartopy.png width=100%

doc/whats-new.rst

@@ -70,6 +70,11 @@ Breaking changes
   should significantly improve performance when reading and writing
   netCDF files with Dask, especially when working with many files or using
   Dask Distributed. By `Stephan Hoyer <https://github.com/shoyer>`_
+- Tutorial data is now loaded lazily. Previous behavior of
+  :py:meth:`xarray.tutorial.load_dataset` would call `Dataset.load()` prior
+  to returning. This was changed in order to facilitate using this data with
+  dask.
+  By `Joe Hamman <https://github.com/jhamman>`_.
 
 Documentation
 ~~~~~~~~~~~~~

xarray/tests/test_tutorial.py

@@ -23,6 +23,6 @@ def setUp(self):
             os.remove('{}.md5'.format(self.testfilepath))
 
     def test_download_from_github(self):
-        ds = tutorial.load_dataset(self.testfile)
+        ds = tutorial.open_dataset(self.testfile).load()
         tiny = DataArray(range(5), name='tiny').to_dataset()
-        assert_identical(ds, tiny)
+        assert_identical(ds, tiny)

xarray/tutorial.py

@@ -9,6 +9,7 @@
 
 import hashlib
 import os as _os
+import warnings
 
 from .backends.api import open_dataset as _open_dataset
 from .core.pycompat import urlretrieve as _urlretrieve
@@ -24,7 +25,7 @@ def file_md5_checksum(fname):
 
 
 # idea borrowed from Seaborn
-def load_dataset(name, cache=True, cache_dir=_default_cache_dir,
+def open_dataset(name, cache=True, cache_dir=_default_cache_dir,
                  github_url='https://github.com/pydata/xarray-data',
                  branch='master', **kws):
     """
@@ -48,6 +49,10 @@ def load_dataset(name, cache=True, cache_dir=_default_cache_dir,
     kws : dict, optional
         Passed to xarray.open_dataset
 
+    See Also
+    --------
+    xarray.open_dataset
+
     """
     longdir = _os.path.expanduser(cache_dir)
     fullname = name + '.nc'
@@ -77,9 +82,26 @@ def load_dataset(name, cache=True, cache_dir=_default_cache_dir,
             """
             raise IOError(msg)
 
-    ds = _open_dataset(localfile, **kws).load()
+    ds = _open_dataset(localfile, **kws)
 
     if not cache:
         _os.remove(localfile)
 
     return ds
+
+
+def load_dataset(*args, **kwargs):
+    """
+    `load_dataset` will be removed in version 0.12. The current behavior of
+    this function can be achived by using `tutorial.open_dataset(...).load()`.
+
+    See Also
+    --------
+    open_dataset
+    """
+    warnings.warn(
+        "load_dataset` will be removed in version 0.12. The current behavior "
+        "of this function can be achived by using "
+        "`tutorial.open_dataset(...).load()`.",
+        FutureWarning, stacklevel=2)
+    return open_dataset(*args, **kwargs).load()