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_toc.yml

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- caption: Foundations
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chapters:
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- file: notebooks/01-foundations/intro-to-unstructured-grids
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- file: notebooks/01-foundations/plotting
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- file: notebooks/01-foundations/unstructured-grids
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- file: notebooks/01-foundations/plotting-libs
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- file: notebooks/01-foundations/rendering-techniques
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- caption: Introduction to UXarray
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chapters:
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- file: notebooks/02-intro-to-uxarray/grids
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- file: notebooks/02-intro-to-uxarray/grid
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- file: notebooks/02-intro-to-uxarray/uxds-uxda
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- caption: Plotting with UXarray
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- file: notebooks/03-plotting-with-uxarray/grid-viz
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- caption: Climate Model Output Visualization Examples
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- file: notebooks/o4-climate-model-examples/e3sm
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- file: notebooks/04-climate-model-examples/e3sm
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- caption: Visualization Package Compatibility
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- caption: Compatibility with Visualization Packages
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chapters:
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- file: notebooks/01-intro/01-unstructured-grid-overview
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- file: notebooks/05-viz-packages/matplotlib
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- file: notebooks/05-viz-packages/datashader
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- file: notebooks/05-viz-packages/lonboard

notebooks/02-intro-to-uxarray/uxds-uxda.ipynb

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"metadata": {},
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"cell_type": "markdown",
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"source": [
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"# ``ux.UxDataArray`` & ``ux.UxDataset``\n",
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"# ``UxDataArray`` & ``UxDataset``\n",
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"---"
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],
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"id": "defae8d5978518cb"
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{
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"cells": [
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{
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"metadata": {},
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"cell_type": "markdown",
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"source": [
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"# Datashader\n",
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"---"
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],
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"id": "9320edea162f109d"
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},
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{
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"metadata": {
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"ExecuteTime": {
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"end_time": "2024-11-04T20:08:23.394487Z",
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"start_time": "2024-11-04T20:08:23.391186Z"
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}
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},
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"cell_type": "code",
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"source": "# todo",
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"id": "781f47a67aa5e115",
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"outputs": [],
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"execution_count": 1
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},
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{
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"metadata": {},
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"cell_type": "code",
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"outputs": [],
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"execution_count": null,
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"source": "",
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"id": "ad31d371e468bdf0"
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 2
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython2",
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"version": "2.7.6"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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{
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"cells": [
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{
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"metadata": {},
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"cell_type": "markdown",
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"source": [
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"# Lonboard\n",
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"---"
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],
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"id": "342496cb5a083961"
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},
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{
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"metadata": {},
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"cell_type": "code",
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"outputs": [],
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"execution_count": null,
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"source": "",
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"id": "f2548d72573ff8fd"
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 2
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython2",
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"version": "2.7.6"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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{
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"cells": [
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{
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"metadata": {},
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"cell_type": "markdown",
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"source": [
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"# Matplotlib\n",
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"---"
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],
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"id": "603ede925041bb57"
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},
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{
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"metadata": {
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"ExecuteTime": {
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"end_time": "2024-11-04T20:08:11.699420Z",
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"start_time": "2024-11-04T20:08:11.696372Z"
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}
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},
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"cell_type": "code",
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"source": "# todo",
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"id": "32f286fdac3a7845",
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"outputs": [],
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"execution_count": 1
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},
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"metadata": {},
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"cell_type": "code",
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"outputs": [],
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"execution_count": null,
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"source": "",
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"id": "ed0beab11ed42e3f"
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 2
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython2",
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"version": "2.7.6"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}

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