Update README.rst

Author: dcherian

README.rst

@@ -30,34 +30,8 @@
 cf-xarray
 =========
 
-A lightweight convenience wrapper for using CF attributes on xarray objects. Right now all of this works:
+A lightweight convenience wrapper for using CF attributes on xarray objects. 
 
-.. code-block:: python
+For example you can use `.cf.mean("latitude")` instead of `.mean("lat")` if appropriate attributes are set! This allows you to write code that does not require knowledge of specific dimension or coordinate names particular to a dataset.
 
-    import cf_xarray
-    import xarray as xr
-
-    ds = xr.tutorial.load_dataset("air_temperature").isel(time=slice(4))
-
-    ds.air.cf.var("X")
-
-    ds.air.cf.resample(T="M").var()
-
-    ds.air.cf.groupby("T").var("Y")
-
-    (
-    	ds.air
-    	.cf.isel(T=slice(4))
-    	.cf.plot.contourf(x="Y", y="X", col="T", col_wrap=4)
-    )
-
-    ds.air.isel(lat=[0, 1], lon=1).cf.plot.line(x="T", hue="Y")
-
-    ds.air.attrs["cell_measures"] = "area: cell_area"
-    ds.coords["cell_area"] = (
-	np.cos(ds.air.cf["latitude"] * np.pi / 180)
-        * xr.ones_like(ds.air.cf["longitude"])
-        * 105e3
-        * 110e3
-    )
-    ds.air.cf.weighted("area").sum("latitude")
+See more in the introductory notebook `here <https://cf-xarray.readthedocs.io/en/latest/examples/introduction.html>`_.