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fundamentals/03.3_windowed.ipynb

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"### Custom reductions\n",
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"\n",
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"While common reductions are implemented by default, sometimes it is useful to apply our own windowed operations. For these uses, Xarray provides the `construct` methods for [DataArray.rolling](https://docs.xarray.dev/en/stable/generated/xarray.core.rolling.DataArrayRolling.construct.html) and [Dataset.rolling](https://docs.xarray.dev/en/stable/generated/xarray.core.rolling.DatasetRolling.construct.html).\n",
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"While common reductions are implemented by default, sometimes it is useful to apply our own windowed operations. For these uses, Xarray provides the `construct` methods for [DataArray.rolling](https://docs.xarray.dev/en/stable/generated/xarray.computation.rolling.DataArrayRolling.construct.html#xarray.computation.rolling.DataArrayRolling.construct) and [Dataset.rolling](https://docs.xarray.dev/en/stable/generated/xarray.computation.rolling.DatasetRolling.construct.html#xarray.computation.rolling.DatasetRolling.construct).\n",
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"\n",
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"For rolling over a dimension `time` with a window size `N`, `construct` adds a new dimension (with user-provided name) of size `N`. \n",
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"\n",

intermediate/xarray_ecosystem.ipynb

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"cell_type": "markdown",
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"metadata": {},
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"Xarray objects can store [arbitrary metadata](https://docs.xarray.dev/en/stable/getting-started-guide/faq.html#what-is-your-approach-to-metadata) in the form of a `dict` attached to each `DataArray` and `Dataset` object, accessible via the `.attrs` property."
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"Xarray objects can store [arbitrary metadata](https://docs.xarray.dev/en/stable/get-help/faq.html#what-is-your-approach-to-metadata) in the form of a `dict` attached to each `DataArray` and `Dataset` object, accessible via the `.attrs` property."
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overview/xarray-in-45-min.ipynb

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"\n",
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"Xarray ties in to the larger scientific python ecosystem and in turn many\n",
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"packages build on top of xarray. A long list of such packages is here:\n",
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"<https://docs.xarray.dev/en/stable/related-projects.html>.\n",
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"<https://docs.xarray.dev/en/stable/user-guide/ecosystem.html>.\n",
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"\n",
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"Now we will demonstrate some cool features.\n"
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"metadata": {},
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"import hvplot.xarray\n",
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"\n",
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"import hvplot.xarray"
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]
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"ds.air.hvplot(groupby=\"time\", clim=(270, 300), widget_location='bottom')"
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"- [MetPy](https://unidata.github.io/MetPy/latest/index.html) : tools for working\n",
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" with weather data\n",
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"\n",
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"Check the Xarray [Ecosystem](https://docs.xarray.dev/en/stable/ecosystem.html) page and [this tutorial](https://tutorial.xarray.dev/intermediate/xarray_ecosystem.html) for even more packages and demonstrations."
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"Check the Xarray [Ecosystem](https://docs.xarray.dev/en/stable/user-guide/ecosystem.html) page and [this tutorial](https://tutorial.xarray.dev/intermediate/xarray_ecosystem.html) for even more packages and demonstrations."
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"\n",
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"1. Read the [tutorial](https://tutorial.xarray.dev) material and [user guide](https://docs.xarray.dev/en/stable/user-guide/index.html)\n",
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"1. See the description of [common terms](https://docs.xarray.dev/en/stable/terminology.html) used in the xarray documentation: \n",
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"1. Answers to common questions on \"how to do X\" with Xarray are [here](https://docs.xarray.dev/en/stable/howdoi.html)\n",
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"1. Answers to common questions on \"how to do X\" with Xarray are [here](https://docs.xarray.dev/en/stable/get-help/howdoi.html)\n",
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"1. Ryan Abernathey has a book on data analysis with a [chapter on Xarray](https://earth-env-data-science.github.io/lectures/xarray/xarray_intro.html)\n",
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"1. [Project Pythia](https://projectpythia.org/) has [foundational](https://foundations.projectpythia.org/landing-page.html) and more [advanced](https://cookbooks.projectpythia.org/) material on Xarray. Pythia also aggregates other [Python learning resources](https://projectpythia.org/resource-gallery.html).\n",
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"1. [Project Pythia](https://projectpythia.org/) has [foundational](https://foundations.projectpythia.org) and more [advanced](https://cookbooks.projectpythia.org/) material on Xarray. Pythia also aggregates other [Python learning resources](https://projectpythia.org/resource-gallery).\n",
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"1. The [Xarray Github Discussions](https://github.com/pydata/xarray/discussions) and [Pangeo Discourse](https://discourse.pangeo.io/) are good places to ask questions.\n",
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"1. Tell your friends! Tweet!\n",
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"\n",

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