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Use a small local dataset for the Xarray Zarr example #381

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Use a small local dataset for the Xarray Zarr example #381

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19 changes: 15 additions & 4 deletions intermediate/intro-to-zarr.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -605,7 +605,8 @@
"### Xarray and Zarr\n",
"\n",
"Xarray has built-in support for reading and writing Zarr data. You can use the `xarray.open_zarr()` function to open a Zarr store as an Xarray dataset.\n",
"\n"
"\n",
"We will create a small, synthetic precipitation dataset and write it to a local store. This example needs no cloud credentials or external dataset. The values are for demonstration only, not observations."
]
},
{
Expand All @@ -617,9 +618,19 @@
"source": [
"import xarray as xr\n",
"\n",
"store = \"https://ncsa.osn.xsede.org/Pangeo/pangeo-forge/gpcp-feedstock/gpcp.zarr\"\n",
"store = datadir / \"precipitation.zarr\"\n",
"sample = xr.Dataset(\n",
" {\"precip\": ((\"time\", \"lat\", \"lon\"), np.arange(124).reshape(31, 2, 2) / 10)},\n",
" coords={\n",
" \"time\": np.arange(\"2020-01-01\", \"2020-02-01\", dtype=\"datetime64[D]\"),\n",
" \"lat\": [10.0, 20.0],\n",
" \"lon\": [30.0, 40.0],\n",
" },\n",
")\n",
"sample.precip.attrs[\"units\"] = \"mm/day\"\n",
"sample.to_zarr(store, mode=\"w\", zarr_format=3, consolidated=False)\n",
"\n",
"ds = xr.open_dataset(store, engine=\"zarr\", chunks={}, consolidated=True)\n",
"ds = xr.open_zarr(store, chunks={}, consolidated=False)\n",
"ds"
]
},
Expand All @@ -641,7 +652,7 @@
"::::{admonition} Exercise\n",
":class: tip\n",
"\n",
"Can you calculate the mean precipitation for January 2020 in the GPCP dataset and plot it?\n",
"Can you calculate and plot the mean precipitation for January 2020 in this sample?\n",
"\n",
":::{admonition} Solution\n",
":class: dropdown\n",
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