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Merge remote-tracking branch 'origin/source-design-merge' into add_simple_apps
# Conflicts: # _posts/python/financial/candlestick/candlestick-charts.ipynb
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‎Contributing.md

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2. Check Ruby version `$ ruby --version`. We recommend using `version 2.3.3` or the same ruby version as [gh-pages](https://pages.github.com/versions/). Note [RVM](https://rvm.io/rvm/install) is helpful for installing and managing ruby versions.
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3. Install bundler and dependencies from the `gemfile`:
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3. Install bundler and dependencies from the `Gemfile`:
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```sh
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gem install bundler

‎_config_dev.yml

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# ---
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# Excludes
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# ---
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# all of the posts: ['*.Rmd','_posts/2015-09-09-matlab-reference.html','_posts/2015-09-06-r-reference.html','_posts/2015-09-06-python-reference.html','_posts/2015-08-19-plotly_js-reference.html','_posts/2015-04-05-ggplot2-index.html','_posts/2015-04-05-julia-index.html','_posts/2015-04-05-matlab-index.html','_posts/2015-04-05-matplotlib-index.html','_posts/2015-04-05-node_js-index.html','_posts/2015-04-05-plotly_js-index.html','_posts/2015-04-05-plotlyjs-function-reference.md','_posts/2015-04-05-python-index.html','_posts/2015-05-25-ipython-notebooks_gallery.html','_posts/2015-05-25-ipython-notebooks_index.html','_posts/2015-07-13-eula_index.html','_posts/2015-07-19-pandas.html','_posts/2015-07-26-index.html','_posts/2015-07-30-r-index.Rmd','_posts/2015-07-30-r-index.md','_posts/2015-08-20-research-box-index.html','_posts/ggplot2','_posts/julia','_posts/matlab','_posts/matplotlib','_posts/nodejs','_posts/pandas','_posts/plotly_js','_posts/python','_posts/r','_posts/tutorials','_posts/user_guide_matlab','_posts/user_guide_python']
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exclude: ['*.Rmd','_posts/2015-09-09-matlab-reference.html','_posts/2015-09-06-r-reference.html','_posts/2015-09-06-python-reference.html','_posts/2015-08-19-plotly_js-reference.html','_posts/2015-04-05-ggplot2-index.html','_posts/2015-04-05-julia-index.html','_posts/2015-04-05-matlab-index.html','_posts/2015-04-05-matplotlib-index.html','_posts/2015-04-05-node_js-index.html','_posts/2015-04-05-plotly_js-index.html','_posts/2015-04-05-plotlyjs-function-reference.md','_posts/2015-04-05-python-index.html','_posts/2015-05-25-ipython-notebooks_gallery.html','_posts/2015-05-25-ipython-notebooks_index.html','_posts/2015-07-13-eula_index.html','_posts/2015-07-19-pandas.html','_posts/2015-07-30-r-index.Rmd','_posts/2015-07-30-r-index.md','_posts/2015-08-20-research-box-index.html','_posts/ggplot2','_posts/julia','_posts/matlab','_posts/matplotlib','_posts/nodejs','_posts/pandas','_posts/plotly_js','_posts/python','_posts/r','_posts/tutorials','_posts/user_guide_matlab','_posts/user_guide_python']
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# exclude: ['*.Rmd','*.Rmd','_posts/reference_pages/2015-09-09-matlab-reference.html','_posts/reference_pages/2015-09-06-r-reference.html','_posts/reference_pages/2015-09-06-python-reference.html','_posts/reference_pages/2015-08-19-plotly_js-reference.html','_posts/2015-04-05-ggplot2-index.html','_posts/2015-04-05-julia-index.html','_posts/2015-04-05-matlab-index.html','_posts/2015-04-05-matplotlib-index.html','_posts/2015-04-05-node_js-index.html','_posts/2015-04-05-plotly_js-index.html','_posts/2015-04-05-plotlyjs-function-reference.md','_posts/2015-04-05-python-index.html','_posts/2015-05-25-ipython-notebooks_gallery.html','_posts/2015-05-25-ipython-notebooks_index.html','_posts/2015-07-13-eula_index.html','_posts/2015-07-19-pandas.html','_posts/2015-07-26-index.html','_posts/2015-07-30-r-index.Rmd','_posts/2015-07-30-r-index.md','_posts/2015-08-20-research-box-index.html','_posts/ggplot2','_posts/julia','_posts/scala','_posts/matlab','_posts/matplotlib','_posts/nodejs','_posts/pandas','_posts/plotly_js','_posts/python','_posts/r','_posts/tutorials','_posts/user_guide_matlab','_posts/user_guide_python']
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exclude: ['*.Rmd','_posts/reference_pages/2015-09-09-matlab-reference.html','_posts/reference_pages/2015-09-06-r-reference.html','_posts/reference_pages/2015-09-06-python-reference.html','_posts/2015-04-05-ggplot2-index.html','_posts/2015-04-05-julia-index.html','_posts/2015-04-05-matlab-index.html','_posts/2015-04-05-matplotlib-index.html','_posts/2015-04-05-node_js-index.html','_posts/2015-05-25-ipython-notebooks_gallery.html','_posts/2015-05-25-ipython-notebooks_index.html','_posts/2015-07-13-eula_index.html','_posts/2015-07-19-pandas.html','_posts/2015-07-26-index.html','_posts/2015-07-30-r-index.Rmd','_posts/2015-08-20-research-box-index.html','_posts/ggplot2','_posts/julia','_posts/scala','_posts/matlab','_posts/matplotlib','_posts/scikit/2015-04-05-scikit-index.html','_posts/nodejs','_posts/pandas','_posts/tutorials','_posts/user_guide_matlab','vendor']
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# ---

‎_includes/_new/_page-components/_footer-main.html

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<article class="--copyright">Copyright &copy; 2018 Plotly. All rights reserved.</article>
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{% include copyright.html %}
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‎_includes/auto_examples.html

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<pre><code class="{{page.language}}">{{ example.content }}</code></pre>
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<pre><code class="{{page.language}}">{{ example.content | xml_escape }}</code></pre>
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‎_includes/breadcrumb.html

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</li>
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{% if page.display_as %}
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{% assign display_as = site.data.display_as[page.display_as] %}
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</ul>
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<!--
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Fork on Github :)
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Fork on GitHub :)
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{% assign filename = page.path | split, "/" | last %}
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<path fill="#000000" d="M2.6,10.59L8.38,4.8L10.07,6.5C9.83,7.35 10.22,8.28 11,8.73V14.27C10.4,14.61 10,15.26 10,16A2,2 0 0,0 12,18A2,2 0 0,0 14,16C14,15.26 13.6,14.61 13,14.27V9.41L15.07,11.5C15,11.65 15,11.82 15,12A2,2 0 0,0 17,14A2,2 0 0,0 19,12A2,2 0 0,0 17,10C16.82,10 16.65,10 16.5,10.07L13.93,7.5C14.19,6.57 13.71,5.55 12.78,5.16C12.35,5 11.9,4.96 11.5,5.07L9.8,3.38L10.59,2.6C11.37,1.81 12.63,1.81 13.41,2.6L21.4,10.59C22.19,11.37 22.19,12.63 21.4,13.41L13.41,21.4C12.63,22.19 11.37,22.19 10.59,21.4L2.6,13.41C1.81,12.63 1.81,11.37 2.6,10.59Z"></path>
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‎_includes/copyright.html

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<article class="--copyright">Copyright &copy; {{ "now" | date: "%Y" }} Plotly. All rights reserved.</article>

‎_includes/dashboards-copy/sales-copy.html

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<p>
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C-12 Energy’s technology team built their real-time data acquisition, visualization and analysis
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platform on Plotly’s data visualization and dashboard technology. Their platform uses a mix of
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Python, Javascript and Plotly.js to capture and analyze large data sets:
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Python, JavaScript and Plotly.js to capture and analyze large data sets:
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‎_includes/footer.html

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‎_includes/navigation-bar.html

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<path fill="#000000" d="M2.6,10.59L8.38,4.8L10.07,6.5C9.83,7.35 10.22,8.28 11,8.73V14.27C10.4,14.61 10,15.26 10,16A2,2 0 0,0 12,18A2,2 0 0,0 14,16C14,15.26 13.6,14.61 13,14.27V9.41L15.07,11.5C15,11.65 15,11.82 15,12A2,2 0 0,0 17,14A2,2 0 0,0 19,12A2,2 0 0,0 17,10C16.82,10 16.65,10 16.5,10.07L13.93,7.5C14.19,6.57 13.71,5.55 12.78,5.16C12.35,5 11.9,4.96 11.5,5.07L9.8,3.38L10.59,2.6C11.37,1.81 12.63,1.81 13.41,2.6L21.4,10.59C22.19,11.37 22.19,12.63 21.4,13.41L13.41,21.4C12.63,22.19 11.37,22.19 10.59,21.4L2.6,13.41C1.81,12.63 1.81,11.37 2.6,10.59Z"></path>
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<span>Fork on Github</span>
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<span>Fork on GitHub</span>
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{% elsif page.language == 'python' or page.language == 'pandas' %}
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<a id="forklink" href="https://github.com/plotly/plotly.py">
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<path fill="#000000" d="M2.6,10.59L8.38,4.8L10.07,6.5C9.83,7.35 10.22,8.28 11,8.73V14.27C10.4,14.61 10,15.26 10,16A2,2 0 0,0 12,18A2,2 0 0,0 14,16C14,15.26 13.6,14.61 13,14.27V9.41L15.07,11.5C15,11.65 15,11.82 15,12A2,2 0 0,0 17,14A2,2 0 0,0 19,12A2,2 0 0,0 17,10C16.82,10 16.65,10 16.5,10.07L13.93,7.5C14.19,6.57 13.71,5.55 12.78,5.16C12.35,5 11.9,4.96 11.5,5.07L9.8,3.38L10.59,2.6C11.37,1.81 12.63,1.81 13.41,2.6L21.4,10.59C22.19,11.37 22.19,12.63 21.4,13.41L13.41,21.4C12.63,22.19 11.37,22.19 10.59,21.4L2.6,13.41C1.81,12.63 1.81,11.37 2.6,10.59Z"></path>
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<span>Fork on Github</span>
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<path fill="#000000" d="M2.6,10.59L8.38,4.8L10.07,6.5C9.83,7.35 10.22,8.28 11,8.73V14.27C10.4,14.61 10,15.26 10,16A2,2 0 0,0 12,18A2,2 0 0,0 14,16C14,15.26 13.6,14.61 13,14.27V9.41L15.07,11.5C15,11.65 15,11.82 15,12A2,2 0 0,0 17,14A2,2 0 0,0 19,12A2,2 0 0,0 17,10C16.82,10 16.65,10 16.5,10.07L13.93,7.5C14.19,6.57 13.71,5.55 12.78,5.16C12.35,5 11.9,4.96 11.5,5.07L9.8,3.38L10.59,2.6C11.37,1.81 12.63,1.81 13.41,2.6L21.4,10.59C22.19,11.37 22.19,12.63 21.4,13.41L13.41,21.4C12.63,22.19 11.37,22.19 10.59,21.4L2.6,13.41C1.81,12.63 1.81,11.37 2.6,10.59Z"></path>
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<path fill="#000000" d="M2.6,10.59L8.38,4.8L10.07,6.5C9.83,7.35 10.22,8.28 11,8.73V14.27C10.4,14.61 10,15.26 10,16A2,2 0 0,0 12,18A2,2 0 0,0 14,16C14,15.26 13.6,14.61 13,14.27V9.41L15.07,11.5C15,11.65 15,11.82 15,12A2,2 0 0,0 17,14A2,2 0 0,0 19,12A2,2 0 0,0 17,10C16.82,10 16.65,10 16.5,10.07L13.93,7.5C14.19,6.57 13.71,5.55 12.78,5.16C12.35,5 11.9,4.96 11.5,5.07L9.8,3.38L10.59,2.6C11.37,1.81 12.63,1.81 13.41,2.6L21.4,10.59C22.19,11.37 22.19,12.63 21.4,13.41L13.41,21.4C12.63,22.19 11.37,22.19 10.59,21.4L2.6,13.41C1.81,12.63 1.81,11.37 2.6,10.59Z"></path>
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<path fill="#000000" d="M2.6,10.59L8.38,4.8L10.07,6.5C9.83,7.35 10.22,8.28 11,8.73V14.27C10.4,14.61 10,15.26 10,16A2,2 0 0,0 12,18A2,2 0 0,0 14,16C14,15.26 13.6,14.61 13,14.27V9.41L15.07,11.5C15,11.65 15,11.82 15,12A2,2 0 0,0 17,14A2,2 0 0,0 19,12A2,2 0 0,0 17,10C16.82,10 16.65,10 16.5,10.07L13.93,7.5C14.19,6.57 13.71,5.55 12.78,5.16C12.35,5 11.9,4.96 11.5,5.07L9.8,3.38L10.59,2.6C11.37,1.81 12.63,1.81 13.41,2.6L21.4,10.59C22.19,11.37 22.19,12.63 21.4,13.41L13.41,21.4C12.63,22.19 11.37,22.19 10.59,21.4L2.6,13.41C1.81,12.63 1.81,11.37 2.6,10.59Z"></path>
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<path fill="#000000" d="M2.6,10.59L8.38,4.8L10.07,6.5C9.83,7.35 10.22,8.28 11,8.73V14.27C10.4,14.61 10,15.26 10,16A2,2 0 0,0 12,18A2,2 0 0,0 14,16C14,15.26 13.6,14.61 13,14.27V9.41L15.07,11.5C15,11.65 15,11.82 15,12A2,2 0 0,0 17,14A2,2 0 0,0 19,12A2,2 0 0,0 17,10C16.82,10 16.65,10 16.5,10.07L13.93,7.5C14.19,6.57 13.71,5.55 12.78,5.16C12.35,5 11.9,4.96 11.5,5.07L9.8,3.38L10.59,2.6C11.37,1.81 12.63,1.81 13.41,2.6L21.4,10.59C22.19,11.37 22.19,12.63 21.4,13.41L13.41,21.4C12.63,22.19 11.37,22.19 10.59,21.4L2.6,13.41C1.81,12.63 1.81,11.37 2.6,10.59Z"></path>
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<path fill="#000000" d="M2.6,10.59L8.38,4.8L10.07,6.5C9.83,7.35 10.22,8.28 11,8.73V14.27C10.4,14.61 10,15.26 10,16A2,2 0 0,0 12,18A2,2 0 0,0 14,16C14,15.26 13.6,14.61 13,14.27V9.41L15.07,11.5C15,11.65 15,11.82 15,12A2,2 0 0,0 17,14A2,2 0 0,0 19,12A2,2 0 0,0 17,10C16.82,10 16.65,10 16.5,10.07L13.93,7.5C14.19,6.57 13.71,5.55 12.78,5.16C12.35,5 11.9,4.96 11.5,5.07L9.8,3.38L10.59,2.6C11.37,1.81 12.63,1.81 13.41,2.6L21.4,10.59C22.19,11.37 22.19,12.63 21.4,13.41L13.41,21.4C12.63,22.19 11.37,22.19 10.59,21.4L2.6,13.41C1.81,12.63 1.81,11.37 2.6,10.59Z"></path>
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<path fill="#000000" d="M2.6,10.59L8.38,4.8L10.07,6.5C9.83,7.35 10.22,8.28 11,8.73V14.27C10.4,14.61 10,15.26 10,16A2,2 0 0,0 12,18A2,2 0 0,0 14,16C14,15.26 13.6,14.61 13,14.27V9.41L15.07,11.5C15,11.65 15,11.82 15,12A2,2 0 0,0 17,14A2,2 0 0,0 19,12A2,2 0 0,0 17,10C16.82,10 16.65,10 16.5,10.07L13.93,7.5C14.19,6.57 13.71,5.55 12.78,5.16C12.35,5 11.9,4.96 11.5,5.07L9.8,3.38L10.59,2.6C11.37,1.81 12.63,1.81 13.41,2.6L21.4,10.59C22.19,11.37 22.19,12.63 21.4,13.41L13.41,21.4C12.63,22.19 11.37,22.19 10.59,21.4L2.6,13.41C1.81,12.63 1.81,11.37 2.6,10.59Z"></path>
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‎_includes/plotschema-reference.html

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{% assign localparentlink="layout" %}
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{% assign attribute=site.data.plotschema.schema.traces.sunburst.layoutAttributes %}
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{% assign block = "layout" %}
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{% include reference-block.html parentlink=localparentlink block=block %}
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</div>
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</div>
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