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updated python latex doc #1266

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36 changes: 0 additions & 36 deletions _posts/python/style/latex/2015-04-09-latex.html
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15 changes: 0 additions & 15 deletions _posts/python/style/latex/2015-04-09-latex_python_index.html
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133 changes: 133 additions & 0 deletions _posts/python/style/latex/2015-06-30-latex-typesetting.html
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---
permalink: python/LaTeX/
description: How to add LaTeX to python graphs.
name: LaTeX
has_thumbnail: true
thumbnail: thumbnail/latex.jpg
title: Python LaTeX | Examples | Plotly
has_thumbnail: true
language: python
display_as: style_opt
order: 3
ipynb: ~notebook_demo/268
layout: user-guide
page_type: u-guide
---
{% raw %}
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<h4 id="New-to-Plotly?">New to Plotly?<a class="anchor-link" href="#New-to-Plotly?">&#182;</a></h4><p>Plotly's Python library is free and open source! <a href="https://plot.ly/python/getting-started/">Get started</a> by downloading the client and <a href="https://plot.ly/python/getting-started/">reading the primer</a>.
<br>You can set up Plotly to work in <a href="https://plot.ly/python/getting-started/#initialization-for-online-plotting">online</a> or <a href="https://plot.ly/python/getting-started/#initialization-for-offline-plotting">offline</a> mode, or in <a href="https://plot.ly/python/getting-started/#start-plotting-online">jupyter notebooks</a>.
<br>We also have a quick-reference <a href="https://images.plot.ly/plotly-documentation/images/python_cheat_sheet.pdf">cheatsheet</a> (new!) to help you get started!</p>

</div>
</div>
</div>
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<h4 id="Version-Check">Version Check<a class="anchor-link" href="#Version-Check">&#182;</a></h4><p>Plotly's python package is updated frequently. Run <code>pip install plotly --upgrade</code> to use the latest version.</p>

</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[1]:</div>
<div class="inner_cell">
<div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">plotly</span>
<span class="n">plotly</span><span class="o">.</span><span class="n">__version__</span>
</pre></div>

</div>
</div>
</div>

<div class="output_wrapper">
<div class="output">


<div class="output_area">

<div class="prompt output_prompt">Out[1]:</div>




<div class="output_text output_subarea output_execute_result">
<pre>&#39;3.6.0&#39;</pre>
</div>

</div>

</div>
</div>

</div>
<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<h4 id="LaTeX-Typesetting">LaTeX Typesetting<a class="anchor-link" href="#LaTeX-Typesetting">&#182;</a></h4>
</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[2]:</div>
<div class="inner_cell">
<div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">plotly.plotly</span> <span class="k">as</span> <span class="nn">py</span>
<span class="kn">import</span> <span class="nn">plotly.graph_objs</span> <span class="k">as</span> <span class="nn">go</span>

<span class="n">trace1</span> <span class="o">=</span> <span class="n">go</span><span class="o">.</span><span class="n">Scatter</span><span class="p">(</span>
<span class="n">x</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">4</span><span class="p">],</span>
<span class="n">y</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span> <span class="mi">9</span><span class="p">,</span> <span class="mi">16</span><span class="p">],</span>
<span class="n">name</span><span class="o">=</span><span class="sa">r</span><span class="s1">&#39;$\alpha_</span><span class="si">{1c}</span><span class="s1"> = 352 \pm 11 \text{ km s}^{-1}$&#39;</span>
<span class="p">)</span>
<span class="n">trace2</span> <span class="o">=</span> <span class="n">go</span><span class="o">.</span><span class="n">Scatter</span><span class="p">(</span>
<span class="n">x</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">4</span><span class="p">],</span>
<span class="n">y</span><span class="o">=</span><span class="p">[</span><span class="mf">0.5</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mf">4.5</span><span class="p">,</span> <span class="mi">8</span><span class="p">],</span>
<span class="n">name</span><span class="o">=</span><span class="sa">r</span><span class="s1">&#39;$\beta_</span><span class="si">{1c}</span><span class="s1"> = 25 \pm 11 \text{ km s}^{-1}$&#39;</span>
<span class="p">)</span>
<span class="n">data</span> <span class="o">=</span> <span class="p">[</span><span class="n">trace1</span><span class="p">,</span> <span class="n">trace2</span><span class="p">]</span>
<span class="n">layout</span> <span class="o">=</span> <span class="n">go</span><span class="o">.</span><span class="n">Layout</span><span class="p">(</span>
<span class="n">xaxis</span><span class="o">=</span><span class="nb">dict</span><span class="p">(</span>
<span class="n">title</span><span class="o">=</span><span class="sa">r</span><span class="s1">&#39;$\sqrt{(n_\text</span><span class="si">{c}</span><span class="s1">(t|{T_\text</span><span class="si">{early}</span><span class="s1">}))}$&#39;</span>
<span class="p">),</span>
<span class="n">yaxis</span><span class="o">=</span><span class="nb">dict</span><span class="p">(</span>
<span class="n">title</span><span class="o">=</span><span class="sa">r</span><span class="s1">&#39;$d, r \text{ (solar radius)}$&#39;</span>
<span class="p">)</span>
<span class="p">)</span>
<span class="n">fig</span> <span class="o">=</span> <span class="n">go</span><span class="o">.</span><span class="n">Figure</span><span class="p">(</span><span class="n">data</span><span class="o">=</span><span class="n">data</span><span class="p">,</span> <span class="n">layout</span><span class="o">=</span><span class="n">layout</span><span class="p">)</span>
<span class="n">py</span><span class="o">.</span><span class="n">iplot</span><span class="p">(</span><span class="n">fig</span><span class="p">,</span> <span class="n">filename</span><span class="o">=</span><span class="s1">&#39;latex&#39;</span><span class="p">)</span>
</pre></div>

</div>
</div>
</div>

<div class="output_wrapper">
<div class="output">


<div class="output_area">

<div class="prompt output_prompt">Out[2]:</div>



<div class="output_html rendered_html output_subarea output_execute_result">
<iframe id="igraph" scrolling="no" style="border:none;" seamless="seamless" src="https://plot.ly/~PythonPlotBot/3193.embed" height="525px" width="100%"></iframe>
</div>

</div>

</div>
</div>

</div>


{% endraw %}
203 changes: 203 additions & 0 deletions _posts/python/style/latex/latex-typesetting.ipynb
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### New to Plotly?\n",
"Plotly's Python library is free and open source! [Get started](https://plot.ly/python/getting-started/) by downloading the client and [reading the primer](https://plot.ly/python/getting-started/).\n",
"<br>You can set up Plotly to work in [online](https://plot.ly/python/getting-started/#initialization-for-online-plotting) or [offline](https://plot.ly/python/getting-started/#initialization-for-offline-plotting) mode, or in [jupyter notebooks](https://plot.ly/python/getting-started/#start-plotting-online).\n",
"<br>We also have a quick-reference [cheatsheet](https://images.plot.ly/plotly-documentation/images/python_cheat_sheet.pdf) (new!) to help you get started!"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Version Check\n",
"Plotly's python package is updated frequently. Run `pip install plotly --upgrade` to use the latest version."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'3.6.0'"
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import plotly\n",
"plotly.__version__"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### LaTeX Typesetting"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\" seamless=\"seamless\" src=\"https://plot.ly/~PythonPlotBot/3193.embed\" height=\"525px\" width=\"100%\"></iframe>"
],
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"<plotly.tools.PlotlyDisplay object>"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import plotly.plotly as py\n",
"import plotly.graph_objs as go\n",
"\n",
"trace1 = go.Scatter(\n",
" x=[1, 2, 3, 4],\n",
" y=[1, 4, 9, 16],\n",
" name=r'$\\alpha_{1c} = 352 \\pm 11 \\text{ km s}^{-1}$'\n",
")\n",
"trace2 = go.Scatter(\n",
" x=[1, 2, 3, 4],\n",
" y=[0.5, 2, 4.5, 8],\n",
" name=r'$\\beta_{1c} = 25 \\pm 11 \\text{ km s}^{-1}$'\n",
")\n",
"data = [trace1, trace2]\n",
"layout = go.Layout(\n",
" xaxis=dict(\n",
" title=r'$\\sqrt{(n_\\text{c}(t|{T_\\text{early}}))}$'\n",
" ),\n",
" yaxis=dict(\n",
" title=r'$d, r \\text{ (solar radius)}$'\n",
" )\n",
")\n",
"fig = go.Figure(data=data, layout=layout)\n",
"py.iplot(fig, filename='latex')"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<link href=\"//fonts.googleapis.com/css?family=Open+Sans:600,400,300,200|Inconsolata|Ubuntu+Mono:400,700\" rel=\"stylesheet\" type=\"text/css\" />"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"<link rel=\"stylesheet\" type=\"text/css\" href=\"http://help.plot.ly/documentation/all_static/css/ipython-notebook-custom.css\">"
],
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"<IPython.core.display.HTML object>"
]
},
"metadata": {},
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},
{
"name": "stdout",
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"text": [
"Collecting git+https://github.com/plotly/publisher.git\n",
" Cloning https://github.com/plotly/publisher.git to c:\\users\\priyat~1\\appdata\\local\\temp\\pip-req-build-14xlc2tw\n",
"Building wheels for collected packages: publisher\n",
" Running setup.py bdist_wheel for publisher: started\n",
" Running setup.py bdist_wheel for publisher: finished with status 'done'\n",
" Stored in directory: C:\\Users\\PRIYAT~1\\AppData\\Local\\Temp\\pip-ephem-wheel-cache-qma0fxzy\\wheels\\99\\3e\\a0\\fbd22ba24cca72bdbaba53dbc23c1768755fb17b3af0f33966\n",
"Successfully built publisher\n",
"Installing collected packages: publisher\n",
" Found existing installation: publisher 0.13\n",
" Uninstalling publisher-0.13:\n",
" Successfully uninstalled publisher-0.13\n",
"Successfully installed publisher-0.13\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"C:\\Anaconda\\Anaconda3\\lib\\site-packages\\IPython\\nbconvert.py:13: ShimWarning:\n",
"\n",
"The `IPython.nbconvert` package has been deprecated since IPython 4.0. You should import from nbconvert instead.\n",
"\n",
"C:\\Anaconda\\Anaconda3\\lib\\site-packages\\publisher\\publisher.py:53: UserWarning:\n",
"\n",
"Did you \"Save\" this notebook before running this command? Remember to save, always save.\n",
"\n"
]
}
],
"source": [
"from IPython.display import display, HTML\n",
"\n",
"display(HTML('<link href=\"//fonts.googleapis.com/css?family=Open+Sans:600,400,300,200|Inconsolata|Ubuntu+Mono:400,700\" rel=\"stylesheet\" type=\"text/css\" />'))\n",
"display(HTML('<link rel=\"stylesheet\" type=\"text/css\" href=\"http://help.plot.ly/documentation/all_static/css/ipython-notebook-custom.css\">'))\n",
"\n",
"! pip install git+https://github.com/plotly/publisher.git --upgrade\n",
"import publisher\n",
"publisher.publish(\n",
" 'latex-typesetting.ipynb', 'python/LaTeX/', 'LaTeX',\n",
" 'How to add LaTeX to python graphs.',\n",
" title = 'Python LaTeX | Examples | Plotly',\n",
" has_thumbnail='true', thumbnail='thumbnail/latex.jpg',\n",
" language='python',\n",
" display_as='style_opt', order=3, ipynb='~notebook_demo/268')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.1"
}
},
"nbformat": 4,
"nbformat_minor": 2
}