clarify xarray guidance

Author: asteiker

notebooks/ICESat-2_Cloud_Access/ATL06-direct-access.ipynb

@@ -328,7 +328,7 @@
    "id": "56677586-a2cd-4ddb-8e57-457ced954331",
    "metadata": {},
    "source": [
-    "We can see from the representation of the `xarray.DataTree` object `dt` that there are ten groups in the top, or \"root\", level. Clicking on Groups reveals various Metadata and Ancillary data groups as well as groups representing each of the left and right beam pairs from the ICESat-2 ATLAS instrument*. We can also see that there are no dimensions, coordinates, or data variables in the root group. Data could be read into `numpy` arrays or a `pandas.Dataframe`.  However, each granule would have to be read using a package that reads HDF5 granules such as `h5py`.  `xarray` does this all _under-the-hood_ in a single line. \n",
+    "We can see from the representation of the `xarray.DataTree` object `dt` that there are ten groups in the top, or \"root\", level. Clicking on Groups reveals various Metadata and Ancillary data groups as well as groups representing each of the left and right beam pairs from the ICESat-2 ATLAS instrument*. We can also see that there are no dimensions, coordinates, or data variables in the root group. Reading the data into `numpy` arrays or a `pandas.Dataframe` could be an alternative method to using `xarray.Datatree`. However, each granule (file) would have to be read first using a package that reads HDF5 files such as `h5py`. `xarray` does this all under-the-hood in a single line.\n",
     "\n",
     "*ICESat-2 measures photon returns from 3 beam pairs numbered 1, 2 and 3 that each consist of a left and a right beam. In this case, we are interested in plotting the left ground track (gt) of beam pair 1. "
    ]

notebooks/ICESat-2_Cloud_Access/ATL06-direct-access_rendered.ipynb

@@ -43342,7 +43342,7 @@
    "id": "3392e88a-bf67-45cb-9675-87076d0f5483",
    "metadata": {},
    "source": [
-    "We can see from the representation of the `xarray.DataTree` object `dt` that there are ten groups in the top, or \"root\", level. Clicking on Groups reveals various Metadata and Ancillary data groups as well as groups representing each of the left and right beam pairs from the ICESat-2 ATLAS instrument*. We can also see that there are no dimensions, coordinates, or data variables in the root group. Data could be read into `numpy` arrays or a `pandas.Dataframe`.  However, each granule would have to be read using a package that reads HDF5 granules such as `h5py`.  `xarray` does this all _under-the-hood_ in a single line. \n",
+    "We can see from the representation of the `xarray.DataTree` object `dt` that there are ten groups in the top, or \"root\", level. Clicking on Groups reveals various Metadata and Ancillary data groups as well as groups representing each of the left and right beam pairs from the ICESat-2 ATLAS instrument*. We can also see that there are no dimensions, coordinates, or data variables in the root group. Reading the data into `numpy` arrays or a `pandas.Dataframe` could be an alternative method to using `xarray.Datatree`. However, each granule (file) would have to be read first using a package that reads HDF5 files such as `h5py`. `xarray` does this all under-the-hood in a single line.\n",
     "\n",
     "*ICESat-2 measures photon returns from 3 beam pairs numbered 1, 2 and 3 that each consist of a left and a right beam. In this case, we are interested in plotting the left ground track (gt) of beam pair 1. "
    ]