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2 changes: 1 addition & 1 deletion fundamentals/02.2_manipulating_dimensions.ipynb
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Expand Up @@ -36,7 +36,7 @@
" dims=(\"x\", \"y\"),\n",
" coords={\n",
" \"x\": [-3.2, 2.1, 5.3, 6.5],\n",
" \"y\": pd.date_range(\"2009-01-05\", periods=6, freq=\"M\"),\n",
" \"y\": pd.date_range(\"2009-01-05\", periods=6, freq=\"ME\"),\n",
" },\n",
")\n",
"arr"
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4 changes: 2 additions & 2 deletions fundamentals/03.2_groupby_with_xarray.ipynb
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Expand Up @@ -526,7 +526,7 @@
"metadata": {},
"outputs": [],
"source": [
"resample_obj = ds_anom.resample(time=\"5Y\")\n",
"resample_obj = ds_anom.resample(time=\"5YE\")\n",
"resample_obj"
]
},
Expand Down Expand Up @@ -593,7 +593,7 @@
":::{admonition} Solution\n",
":class: dropdown\n",
"```python\n",
"resampled = ds.resample(time='Y').mean().sst.sel(lon=300, lat=50)\n",
"resampled = ds.resample(time='YE').mean().sst.sel(lon=300, lat=50)\n",
"resampled.plot();\n",
"```\n",
":::\n",
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2 changes: 1 addition & 1 deletion fundamentals/05_intro_to_dask.ipynb
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Expand Up @@ -160,7 +160,7 @@
"A crucal difference with Dask is that we must specify the `chunks` argument.\n",
"\"Chunks\" describes how the array is split up over many sub-arrays.\n",
"\n",
"![Dask Arrays](http://docs.dask.org/en/latest/_images/dask-array-black-text.svg)\n",
"![Dask Arrays](https://docs.dask.org/en/latest/_images/dask-array.svg)\n",
"_source:\n",
"[Dask Array Documentation](http://docs.dask.org/en/latest/array-overview.html)_\n",
"\n",
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4 changes: 2 additions & 2 deletions overview/xarray-in-45-min.ipynb
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Expand Up @@ -593,7 +593,7 @@
"source": [
"### Broadcasting: expanding data\n",
"\n",
"Our longitude and latitude length DataArrays are both 1D with different dimension names. If we multiple these DataArrays together the dimensionality is expanded to 2D by _broadcasting_:"
"Our longitude and latitude length DataArrays are both 1D with different dimension names. If we multiply these DataArrays together the dimensionality is expanded to 2D by _broadcasting_:"
]
},
{
Expand Down Expand Up @@ -822,7 +822,7 @@
"outputs": [],
"source": [
"# resample to monthly frequency\n",
"ds.resample(time=\"M\").mean()"
"ds.resample(time=\"ME\").mean()"
]
},
{
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