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‎_preview/35/.buildinfo

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# Sphinx build info version 1
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# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
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config: af4109afea28d3188def59fc8c546001
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tags: 645f666f9bcd5a90fca523b33c5a78b7

‎_preview/35/_sources/applications/applications.rst

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.. _applications:
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.. grid:: 4
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:gutter: 2
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.. grid-item::
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.. grid:: 1
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:gutter: 1
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.. card:: `Plot Types <applications/plot_types/plot_types.rst>`_
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- `Contour <applications/plot_types/contour.ipynb>`_
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- Plot type 2
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- Plot type 3
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.. grid-item::
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.. grid:: 1
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:gutter: 1
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.. card:: `Data Analysis <applications/data_analysis/data_analysis.rst>`_
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- `Data Analysis 1 <applications/data_analysis/sample.ipynb>`_
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.. grid-item::
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.. grid:: 1
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:gutter: 1
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.. card:: `File I/O <applications/file_io/file_io.rst>`_
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- `File I/O 1 <applications/file_io/sample.ipynb>`_
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.. card:: Date Time Routines
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.. grid-item::
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.. grid:: 1
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:gutter: 1
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.. card:: Regridding
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.. card:: Interpolation

‎_preview/35/_sources/applications/data_analysis/data_analysis.rst

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.. currentmodule:: geocat.applications
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.. _applications_data_analysis:
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Data Analysis
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=============
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.. toctree::
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:maxdepth: 1
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:hidden:
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sample.ipynb

‎_preview/35/_sources/applications/data_analysis/sample.ipynb

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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Sample Data Analysis Routine\n",
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"\n",
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"You can also create content with Jupyter Notebooks. This means that you can include\n",
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"code blocks and their outputs in your book.\n",
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"\n",
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"## Markdown + notebooks\n",
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"\n",
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"As it is markdown, you can embed images, HTML, etc into your posts!\n",
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"\n",
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"![](https://myst-parser.readthedocs.io/en/latest/_static/logo-wide.svg)\n",
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"\n",
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"You can also $add_{math}$ and\n",
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"\n",
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"$$\n",
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"math^{blocks}\n",
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"$$\n",
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"\n",
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"or\n",
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"\n",
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"$$\n",
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"\\begin{aligned}\n",
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"\\mbox{mean} la_{tex} \\\\ \\\\\n",
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"math blocks\n",
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"\\end{aligned}\n",
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"$$\n",
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"\n",
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"But make sure you \\$Escape \\$your \\$dollar signs \\$you want to keep!\n",
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"\n",
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"## MyST markdown\n",
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"\n",
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"MyST markdown works in Jupyter Notebooks as well. For more information about MyST markdown, check\n",
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"out [the MyST guide in Jupyter Book](https://jupyterbook.org/content/myst.html),\n",
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"or see [the MyST markdown documentation](https://myst-parser.readthedocs.io/en/latest/).\n",
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"\n",
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"## Code blocks and outputs\n",
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"\n",
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"Jupyter Book will also embed your code blocks and output in your book.\n",
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"For example, here's some sample Matplotlib code:"
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]
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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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"from matplotlib import rcParams, cycler\n",
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"import matplotlib.pyplot as plt\n",
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"import numpy as np\n",
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"\n",
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"plt.ion()"
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]
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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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"# Fixing random state for reproducibility\n",
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"np.random.seed(19680801)\n",
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"\n",
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"N = 10\n",
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"data = [np.logspace(0, 1, 100) + np.random.randn(100) + ii for ii in range(N)]\n",
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"data = np.array(data).T\n",
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"cmap = plt.cm.coolwarm\n",
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"rcParams['axes.prop_cycle'] = cycler(color=cmap(np.linspace(0, 1, N)))\n",
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"\n",
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"\n",
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"from matplotlib.lines import Line2D\n",
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"\n",
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"custom_lines = [\n",
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" Line2D([0], [0], color=cmap(0.0), lw=4),\n",
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" Line2D([0], [0], color=cmap(0.5), lw=4),\n",
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" Line2D([0], [0], color=cmap(1.0), lw=4),\n",
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"]\n",
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"\n",
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"fig, ax = plt.subplots(figsize=(10, 5))\n",
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"lines = ax.plot(data)\n",
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"ax.legend(custom_lines, ['Cold', 'Medium', 'Hot']);"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"There is a lot more that you can do with outputs (such as including interactive outputs)\n",
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"with your book. For more information about this, see [the Jupyter Book documentation](https://jupyterbook.org)"
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]
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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": 3
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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": "ipython3",
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"version": "3.8.0"
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},
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"widgets": {
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"application/vnd.jupyter.widget-state+json": {
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"state": {},
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"version_major": 2,
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"version_minor": 0
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}
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}

‎_preview/35/_sources/applications/file_io/file_io.rst

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.. currentmodule:: geocat.applications
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.. _applications_file_io:
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File I/O
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========
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.. toctree::
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:maxdepth: 1
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:hidden:
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sample.ipynb

‎_preview/35/_sources/applications/file_io/sample.ipynb

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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Sample File I/O Routine\n",
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"\n",
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"You can also create content with Jupyter Notebooks. This means that you can include\n",
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"code blocks and their outputs in your book.\n",
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"\n",
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"## Markdown + notebooks\n",
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"\n",
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"As it is markdown, you can embed images, HTML, etc into your posts!\n",
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"\n",
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"![](https://myst-parser.readthedocs.io/en/latest/_static/logo-wide.svg)\n",
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"\n",
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"You can also $add_{math}$ and\n",
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"\n",
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"$$\n",
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"math^{blocks}\n",
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"$$\n",
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"\n",
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"or\n",
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"\n",
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"$$\n",
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"\\begin{aligned}\n",
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"\\mbox{mean} la_{tex} \\\\ \\\\\n",
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"math blocks\n",
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"\\end{aligned}\n",
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"$$\n",
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"\n",
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"But make sure you \\$Escape \\$your \\$dollar signs \\$you want to keep!\n",
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"\n",
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"## MyST markdown\n",
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"\n",
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"MyST markdown works in Jupyter Notebooks as well. For more information about MyST markdown, check\n",
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"out [the MyST guide in Jupyter Book](https://jupyterbook.org/content/myst.html),\n",
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"or see [the MyST markdown documentation](https://myst-parser.readthedocs.io/en/latest/).\n",
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"\n",
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"## Code blocks and outputs\n",
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"\n",
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"Jupyter Book will also embed your code blocks and output in your book.\n",
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"For example, here's some sample Matplotlib code:"
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]
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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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"from matplotlib import rcParams, cycler\n",
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"import matplotlib.pyplot as plt\n",
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"import numpy as np\n",
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"\n",
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"plt.ion()"
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]
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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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"# Fixing random state for reproducibility\n",
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"np.random.seed(19680801)\n",
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"\n",
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"N = 10\n",
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"data = [np.logspace(0, 1, 100) + np.random.randn(100) + ii for ii in range(N)]\n",
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"data = np.array(data).T\n",
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"cmap = plt.cm.coolwarm\n",
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"rcParams['axes.prop_cycle'] = cycler(color=cmap(np.linspace(0, 1, N)))\n",
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"\n",
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"\n",
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"from matplotlib.lines import Line2D\n",
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"\n",
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"custom_lines = [\n",
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" Line2D([0], [0], color=cmap(0.0), lw=4),\n",
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" Line2D([0], [0], color=cmap(0.5), lw=4),\n",
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" Line2D([0], [0], color=cmap(1.0), lw=4),\n",
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"]\n",
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"\n",
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"fig, ax = plt.subplots(figsize=(10, 5))\n",
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"lines = ax.plot(data)\n",
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"ax.legend(custom_lines, ['Cold', 'Medium', 'Hot']);"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"There is a lot more that you can do with outputs (such as including interactive outputs)\n",
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"with your book. For more information about this, see [the Jupyter Book documentation](https://jupyterbook.org)"
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]
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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": 3
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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": "ipython3",
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"version": "3.8.0"
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},
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"widgets": {
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"application/vnd.jupyter.widget-state+json": {
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"state": {},
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"version_major": 2,
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"version_minor": 0
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}
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}

‎_preview/35/_sources/applications/ncl_applications.rst

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.. _ncl_applications:
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NCL Applications
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================

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