use load_dataset with xr.tutorial

Ouranosinc · Nov 28, 2024 · c7241a7 · c7241a7
1 parent e9ea021
commit c7241a7
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Showing 5 changed files with 6 additions and 6 deletions.
diff --git a/docs/notebooks/customize.ipynb b/docs/notebooks/customize.ipynb
@@ -36,7 +36,7 @@
    "outputs": [],
    "source": [
     "tasmax = (\n",
-    "    xr.tutorial.open_dataset(\"air_temperature\")\n",
+    "    xr.tutorial.load_dataset(\"air_temperature\")\n",
     "    .air.resample(time=\"D\")\n",
     "    .max(keep_attrs=True)\n",
     ")\n",

diff --git a/docs/notebooks/sdba-advanced.ipynb b/docs/notebooks/sdba-advanced.ipynb
@@ -69,7 +69,7 @@
    "outputs": [],
    "source": [
     "# Daily temperature data from xarray's tutorials\n",
-    "ds = xr.tutorial.open_dataset(\"air_temperature\").resample(time=\"D\").mean()\n",
+    "ds = xr.tutorial.load_dataset(\"air_temperature\").resample(time=\"D\").mean()\n",
     "tas = ds.isel(lat=0, lon=0).air\n",
     "\n",
     "# Compute the smoothed series\n",

diff --git a/docs/notebooks/units.ipynb b/docs/notebooks/units.ipynb
@@ -48,7 +48,7 @@
    "outputs": [],
    "source": [
     "# See the Usage page for details on opening datasets, subsetting and resampling.\n",
-    "ds = xr.tutorial.open_dataset(\"air_temperature\")\n",
+    "ds = xr.tutorial.load_dataset(\"air_temperature\")\n",
     "tas = (\n",
     "    ds.air.sel(lat=40, lon=270, method=\"nearest\")\n",
     "    .resample(time=\"D\")\n",
@@ -193,7 +193,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "ds = xr.tutorial.open_dataset(\"air_temperature\")\n",
+    "ds = xr.tutorial.load_dataset(\"air_temperature\")\n",
     "tas_6h = ds.air.sel(\n",
     "    lat=40, lon=270, method=\"nearest\"\n",
     ")  # no resampling, original data is 6-hourly\n",

diff --git a/docs/notebooks/usage.ipynb b/docs/notebooks/usage.ipynb
@@ -139,7 +139,7 @@
    "source": [
     "# Show that data is not at a daily time frequency\n",
     "\n",
-    "ds6h = xr.tutorial.open_dataset(\"air_temperature\")\n",
+    "ds6h = xr.tutorial.load_dataset(\"air_temperature\")\n",
     "xr.infer_freq(ds6h.time)"
    ]
   },

diff --git a/tests/test_sdba/conftest.py b/tests/test_sdba/conftest.py
@@ -114,7 +114,7 @@ def ref_hist_sim_tuto(socket_enabled):  # noqa: F841
     """
 
     def _ref_hist_sim_tuto(sim_offset=3, delta=0.1, smth_win=3, trend=True):
-        ds = xr.tutorial.open_dataset("air_temperature")
+        ds = xr.tutorial.load_dataset("air_temperature")
         ref = ds.air.resample(time="D").mean(keep_attrs=True)
         hist = ref.rolling(time=smth_win, min_periods=1).mean(keep_attrs=True) + delta
         hist.attrs["units"] = ref.attrs["units"]