fix setup.cfg

Author: dcherian

setup.cfg

@@ -4,7 +4,7 @@ author = xarray Developers
 author_email = xarray@googlegroups.com
 license = Apache
 description = N-D labeled arrays and datasets in Python
-long_description_content_type=x-rst
+long_description_content_type=text/x-rst
 long_description =
     **xarray** (formerly **xray**) is an open source project and Python package
     that makes working with labelled multi-dimensional arrays simple,
@@ -43,16 +43,11 @@ long_description =
     powerful and concise interface. For example:
 
     -  Apply operations over dimensions by name: ``x.sum('time')``.
-    -  Select values by label instead of integer location:
-       ``x.loc['2014-01-01']`` or ``x.sel(time='2014-01-01')``.
-    -  Mathematical operations (e.g., ``x - y``) vectorize across multiple
-       dimensions (array broadcasting) based on dimension names, not shape.
-    -  Flexible split-apply-combine operations with groupby:
-       ``x.groupby('time.dayofyear').mean()``.
-    -  Database like alignment based on coordinate labels that smoothly
-       handles missing values: ``x, y = xr.align(x, y, join='outer')``.
-    -  Keep track of arbitrary metadata in the form of a Python dictionary:
-       ``x.attrs``.
+    -  Select values by label instead of integer location: ``x.loc['2014-01-01']`` or ``x.sel(time='2014-01-01')``.
+    -  Mathematical operations (e.g., ``x - y``) vectorize across multiple dimensions (array broadcasting) based on dimension names, not shape.
+    -  Flexible split-apply-combine operations with groupby: ``x.groupby('time.dayofyear').mean()``.
+    -  Database like alignment based on coordinate labels that smoothly handles missing values: ``x, y = xr.align(x, y, join='outer')``.
+    -  Keep track of arbitrary metadata in the form of a Python dictionary: ``x.attrs``.
 
     Learn more
     ----------