Comparison to Xarray¶
In this tutorial, you’ll learn about:¶
The differences and similarities between UXarray’s and Xarray’s plotting routines
Using
hvPlotwith Xarray
Related Documentation¶
Prerequisites¶
| Concepts | Importance | Notes |
|---|---|---|
| Xarray | Necessary |
Time to learn: 5 minutes
Introduction¶
For users coming from an Xarray background, much of UXarray’s design is familiar. This notebook showcases an example of transitioning a visualization of a structured grid using Xarray into a visualization of an unstructured grid using UXarray.
import cartopy.crs as ccrs
import matplotlib.pyplot as plt
import uxarray as ux
import xarray as xrData¶
We use two variations of the outCSne30 grid for this example. One of them is the original unstructured cube sphere, with the other being a remapped structured version.
Xarray¶
base_path = "../../meshfiles/"
ds_path = base_path + "outCSne30.structured.nc"
xrds = xr.open_dataset(ds_path)
xrdsLoading...
UXarray¶
base_path = "../../meshfiles/"
grid_filename = base_path + "outCSne30.grid.ug"
data_filename = base_path + "outCSne30.data.nc"
uxds = ux.open_dataset(grid_filename, data_filename)
uxds---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
Cell In[3], line 5
1 base_path = "../../meshfiles/"
2 grid_filename = base_path + "outCSne30.grid.ug"
3 data_filename = base_path + "outCSne30.data.nc"
4
----> 5 uxds = ux.open_dataset(grid_filename, data_filename)
6 uxds
File ~/micromamba/envs/unstructured-grid-viz-cookbook-dev/lib/python3.14/site-packages/uxarray/core/api.py:163, in open_dataset(grid_filename_or_obj, filename_or_obj, latlon, use_dual, grid_kwargs, **kwargs)
160 # map each dimension to its UGRID equivalent
161 ds = _map_dims_to_ugrid(ds, uxgrid._source_dims_dict)
--> 163 uxds = UxDataset(ds, uxgrid=uxgrid, source_datasets=str(filename_or_obj))
165 return uxds
File ~/micromamba/envs/unstructured-grid-viz-cookbook-dev/lib/python3.14/site-packages/uxarray/core/dataset.py:63, in UxDataset.__init__(self, uxgrid, source_datasets, *args, **kwargs)
60 else:
61 self.uxgrid = uxgrid
---> 63 super().__init__(*args, **kwargs)
File ~/micromamba/envs/unstructured-grid-viz-cookbook-dev/lib/python3.14/site-packages/xarray/core/dataset.py:389, in Dataset.__init__(self, data_vars, coords, attrs)
385 ) -> None:
386 if data_vars is None:
387 data_vars = {}
388 if isinstance(data_vars, Dataset):
--> 389 raise TypeError(
390 "Passing a Dataset as `data_vars` to the Dataset constructor is"
391 " not supported. Use `ds.copy()` to create a copy of a Dataset."
392 )
TypeError: Passing a Dataset as `data_vars` to the Dataset constructor is not supported. Use `ds.copy()` to create a copy of a Dataset.Visualization¶
Xarray¶
xrds["psi"].plot(figsize=(12, 5), cmap="inferno");UXarray¶
uxds["psi"].plot(width=800, height=400, backend="matplotlib", cmap="inferno")Using hvPlot to combine UXarray & Xarray Plots¶
Since UXarray is written using hvPlot, we can visualize Xarray and UXarray plots together by using hvplot.xarray.
See also:
To learn more about hvPlot and Xarray, please refer to the hvPlot Documentationimport holoviews as hv
import hvplot.xarray
hv.extension("bokeh")(
xrds.hvplot(cmap="inferno", title="Xarray with hvPlot", width=800, height=400)
+ uxds["psi"].plot(
cmap="inferno",
title="UXarray Plot",
width=800,
height=400,
periodic_elements="split",
)
).cols(1)