Udpate explanation for xarrayDataArray

examples/tutorials/advanced/date_time_charts.py

@@ -191,10 +191,10 @@
 #
 # In this example, instead of using a list of :class:`pandas.DatetimeIndex` objects,
 # ``x`` is initialized as an :class:`xarray.DataArray` object. This object provides a
-# wrapper around regular scientific Python formats. It also allows the data to have
-# labeled dimensions while supporting operations that use various pieces of metadata.
-# The following code uses :func:`pandas.date_range` to fill the DataArray with data,
-# but this is not essential for the creation of a valid DataArray.
+# wrapper around numpy ndarrays. It also allows the data to have labeled dimensions
+# while supporting operations that use various pieces of metadata. The following code
+# uses :func:`pandas.date_range` to fill the DataArray with data, but this is not
+# essential for the creation of a valid DataArray.
 
 x = xr.DataArray(data=pd.date_range(start="2020-01-01", periods=4, freq="Q"))
 y = [4, 7, 5, 6]