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Commit c9537ae

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A few minor changes to fix a typo, broken link, and some deprecations (#322)
* Update xarray-in-45-min.ipynb - typo * Update xarray-in-45-min.ipynb - update alias used in resample * Update 02.2_manipulating_dimensions.ipynb - update alias used in * Update 03.2_groupby_with_xarray.ipynb - update time alias * Update 05_intro_to_dask.ipynb - update URL for Dask diagram
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‎fundamentals/02.2_manipulating_dimensions.ipynb‎

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" dims=(\"x\", \"y\"),\n",
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" coords={\n",
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" \"x\": [-3.2, 2.1, 5.3, 6.5],\n",
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" \"y\": pd.date_range(\"2009年01月05日\", periods=6, freq=\"M\"),\n",
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" \"y\": pd.date_range(\"2009年01月05日\", periods=6, freq=\"ME\"),\n",
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" },\n",
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")\n",
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"arr"

‎fundamentals/03.2_groupby_with_xarray.ipynb‎

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"metadata": {},
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"outputs": [],
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"source": [
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"resample_obj = ds_anom.resample(time=\"5Y\")\n",
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"resample_obj = ds_anom.resample(time=\"5YE\")\n",
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"resample_obj"
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]
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},
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":::{admonition} Solution\n",
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":class: dropdown\n",
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"```python\n",
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"resampled = ds.resample(time='Y').mean().sst.sel(lon=300, lat=50)\n",
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"resampled = ds.resample(time='YE').mean().sst.sel(lon=300, lat=50)\n",
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"resampled.plot();\n",
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"```\n",
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":::\n",

‎fundamentals/05_intro_to_dask.ipynb‎

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"A crucal difference with Dask is that we must specify the `chunks` argument.\n",
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"\"Chunks\" describes how the array is split up over many sub-arrays.\n",
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"\n",
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"![Dask Arrays](http://docs.dask.org/en/latest/_images/dask-array-black-text.svg)\n",
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"![Dask Arrays](https://docs.dask.org/en/latest/_images/dask-array.svg)\n",
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"_source:\n",
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"[Dask Array Documentation](http://docs.dask.org/en/latest/array-overview.html)_\n",
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"\n",

‎overview/xarray-in-45-min.ipynb‎

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"source": [
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"### Broadcasting: expanding data\n",
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"\n",
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"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_:"
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"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_:"
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]
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},
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{
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"outputs": [],
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"source": [
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"# resample to monthly frequency\n",
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"ds.resample(time=\"M\").mean()"
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"ds.resample(time=\"ME\").mean()"
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]
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},
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{

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