add xarray to disctiption

browniea · browniea · commit 31e2411882ce · 2026-03-06T11:37:06.000-09:00
diff --git a/examples/Delft3D_example.ipynb b/examples/Delft3D_example.ipynb
@@ -40,7 +40,7 @@
    "source": [
     "## Loading Data from Delft3D as a NetCDF \n",
     "\n",
-    " A NetCDF file has been saved in the [\\\\MHKiT-Python\\\\examples\\\\data\\\\river\\\\d3d](https://github.com/browniea/MHKiT-Python/tree/d3d/examples/data/river/d3d) directory of a simple flume case with a turbine for reference data. Here we are inputting strings for the file path `datadir`, and file name `filename`, so the NetCDF file can be saved as a NetCDF object using the python pack `netCDF4` under the variable `d3d_data`.    \n",
+    " A NetCDF file has been saved in the [\\\\MHKiT-Python\\\\examples\\\\data\\\\river\\\\d3d](https://github.com/browniea/MHKiT-Python/tree/d3d/examples/data/river/d3d) directory of a simple flume case with a turbine for reference data. Here we are inputting strings for the file path `datadir`, and file name `filename`, so the NetCDF file can be saved as a NetCDF object using the python pack `netCDF4` under the variable `d3d_data`.The file also be read in an xarray format us the function ‘xr.open_dataset’.       \n",
     " \n",
     "There are many variables saved in the NetCDF object `d3d_data`. The function `d3d_data.variables.keys()` returns a dictionary of the available data. Here we look at the dictionary keys output to see all the variables. "
    ]

Original file line number	Diff line number	Diff line change
`@@ -40,7 +40,7 @@`
`40`	`40`	`"source": [`
`41`	`41`	`"## Loading Data from Delft3D as a NetCDF \n",`
`42`	`42`	`"\n",`
`43`		- " A NetCDF file has been saved in the [\\\\MHKiT-Python\\\\examples\\\\data\\\\river\\\\d3d](https://github.com/browniea/MHKiT-Python/tree/d3d/examples/data/river/d3d) directory of a simple flume case with a turbine for reference data. Here we are inputting strings for the file path `datadir`, and file name `filename`, so the NetCDF file can be saved as a NetCDF object using the python pack `netCDF4` under the variable `d3d_data`. \n",
	`43`	+ " A NetCDF file has been saved in the [\\\\MHKiT-Python\\\\examples\\\\data\\\\river\\\\d3d](https://github.com/browniea/MHKiT-Python/tree/d3d/examples/data/river/d3d) directory of a simple flume case with a turbine for reference data. Here we are inputting strings for the file path `datadir`, and file name `filename`, so the NetCDF file can be saved as a NetCDF object using the python pack `netCDF4` under the variable `d3d_data`.The file also be read in an xarray format us the function ‘xr.open_dataset’. \n",
`44`	`44`	`" \n",`
`45`	`45`	"There are many variables saved in the NetCDF object `d3d_data`. The function `d3d_data.variables.keys()` returns a dictionary of the available data. Here we look at the dictionary keys output to see all the variables. "
`46`	`46`	`]`