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<h4id="New-to-Plotly?">New to Plotly?<aclass="anchor-link" href="#New-to-Plotly?">¶</a></h4><p>Plotly's Python library is free and open source! <ahref="https://plot.ly/python/getting-started/">Get started</a> by downloading the client and <ahref="https://plot.ly/python/getting-started/">reading the primer</a>.
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<br>You can set up Plotly to work in <ahref="https://plot.ly/python/getting-started/#initialization-for-online-plotting">online</a> or <ahref="https://plot.ly/python/getting-started/#initialization-for-offline-plotting">offline</a> mode, or in <ahref="https://plot.ly/python/getting-started/#start-plotting-online">jupyter notebooks</a>.
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<br>We also have a quick-reference <ahref="https://images.plot.ly/plotly-documentation/images/python_cheat_sheet.pdf">cheatsheet</a> (new!) to help you get started!</p>
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<h4id="Version-Check">Version Check<aclass="anchor-link" href="#Version-Check">¶</a></h4><p>Plotly's python package is updated frequently. Run <code>pip install plotly --upgrade</code> to use the latest version.</p>
<h4id="Version-Check">Version Check<aclass="anchor-link" href="#Version-Check">¶</a></h4><p>This is documentation for version 2 of plotly.py. See the <ahref="https://github.com/plotly/plotly.py/blob/master/CHANGELOG.md#270---2018-05-23">changelog</a> for differences between package versions.</p>
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"<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",
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"<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!\n",
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"#### Version Check\n",
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"Plotly's python package is updated frequently. Run `pip install plotly --upgrade` to use the latest version. "
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"cell_type": "code",
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"metadata": {},
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{
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"data": {
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"'2.0.11'"
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"metadata": {},
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"source": [
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"import plotly\n",
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"plotly.__version__"
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"This is documentation for version 2 of plotly.py. See the [changelog](https://github.com/plotly/plotly.py/blob/master/CHANGELOG.md#270---2018-05-23) for differences between package versions."
<h4id="New-to-Plotly?">New to Plotly?<aclass="anchor-link" href="#New-to-Plotly?">¶</a></h4><p>Plotly's Python library is free and open source! <ahref="https://plot.ly/python/getting-started/">Get started</a> by downloading the client and <ahref="https://plot.ly/python/getting-started/">reading the primer</a>.
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<h4id="New-to-Plotly?">New to Plotly?<aclass="anchor-link" href="#New-to-Plotly?">¶</a></h4><p>Plotly's Python library is free and open source! <ahref="https://plot.ly/python/getting-started/">Get started</a> by downloading the client and <ahref="https://plot.ly/python/getting-started/">reading the primer</a>.
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<br>You can set up Plotly to work in <ahref="https://plot.ly/python/getting-started/#initialization-for-online-plotting">online</a> or <ahref="https://plot.ly/python/getting-started/#initialization-for-offline-plotting">offline</a> mode, or in <ahref="https://plot.ly/python/getting-started/#start-plotting-online">jupyter notebooks</a>.
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<br>We also have a quick-reference <ahref="https://images.plot.ly/plotly-documentation/images/python_cheat_sheet.pdf">cheatsheet</a> (new!) to help you get started!</p>
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<h4id="Version-Check">Version Check<aclass="anchor-link" href="#Version-Check">¶</a></h4><p>Plotly's python package is updated frequently. Run <code>pip install plotly --upgrade</code> to use the latest version.</p>
<h4id="Version-Check">Version Check<aclass="anchor-link" href="#Version-Check">¶</a></h4><p>This is documentation for version 2 of plotly.py. See the <ahref="https://github.com/plotly/plotly.py/blob/master/CHANGELOG.md#270---2018-05-23">changelog</a> for differences between package versions.</p>
<h3id="Adding-Text-to-Data-in-Line-and-Scatter-Plots">Adding Text to Data in Line and Scatter Plots<aclass="anchor-link" href="#Adding-Text-to-Data-in-Line-and-Scatter-Plots">¶</a></h3>
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<h3id="Adding-Text-to-Data-in-Line-and-Scatter-Plots">Adding Text to Data in Line and Scatter Plots<aclass="anchor-link" href="#Adding-Text-to-Data-in-Line-and-Scatter-Plots">¶</a></h3>
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<h3id="Adding-Hover-Text-to-Data-in-Line-and-Scatter-Plots">Adding Hover Text to Data in Line and Scatter Plots<aclass="anchor-link" href="#Adding-Hover-Text-to-Data-in-Line-and-Scatter-Plots">¶</a></h3>
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<h3id="Adding-Hover-Text-to-Data-in-Line-and-Scatter-Plots">Adding Hover Text to Data in Line and Scatter Plots<aclass="anchor-link" href="#Adding-Hover-Text-to-Data-in-Line-and-Scatter-Plots">¶</a></h3>
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<h3id="Styling-and-Coloring-Annotations">Styling and Coloring Annotations<aclass="anchor-link" href="#Styling-and-Coloring-Annotations">¶</a></h3>
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<h3id="Styling-and-Coloring-Annotations">Styling and Coloring Annotations<aclass="anchor-link" href="#Styling-and-Coloring-Annotations">¶</a></h3>
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<h3id="Text-Font-as-an-Array---Styling-Each-Text-Element">Text Font as an Array - Styling Each Text Element<aclass="anchor-link" href="#Text-Font-as-an-Array---Styling-Each-Text-Element">¶</a></h3>
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<h3id="Text-Font-as-an-Array---Styling-Each-Text-Element">Text Font as an Array - Styling Each Text Element<aclass="anchor-link" href="#Text-Font-as-an-Array---Styling-Each-Text-Element">¶</a></h3>
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<h3id="Adding-Annotations-with-xref-and-yref-as-Paper">Adding Annotations with xref and yref as Paper<aclass="anchor-link" href="#Adding-Annotations-with-xref-and-yref-as-Paper">¶</a></h3>
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<h3id="Adding-Annotations-with-xref-and-yref-as-Paper">Adding Annotations with xref and yref as Paper<aclass="anchor-link" href="#Adding-Annotations-with-xref-and-yref-as-Paper">¶</a></h3>
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<h4id="Reference">Reference<aclass="anchor-link" href="#Reference">¶</a></h4><p>See <ahref="https://plot.ly/python/reference/#layout-annotations">https://plot.ly/python/reference/#layout-annotations</a> for more information and chart attribute options!</p>
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<h4id="Reference">Reference<aclass="anchor-link" href="#Reference">¶</a></h4><p>See <ahref="https://plot.ly/python/reference/#layout-annotations">https://plot.ly/python/reference/#layout-annotations</a> for more information and chart attribute options!</p>
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