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<title>plotly.express: high-level interface for data visualization — 4.6.0 documentation</title>
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<div class="section" id="plotly-express-high-level-interface-for-data-visualization">
<span id="px"></span><h1><code class="docutils literal notranslate"><span class="pre">plotly.express</span></code>: high-level interface for data visualization<a class="headerlink" href="#plotly-express-high-level-interface-for-data-visualization" title="Permalink to this headline">¶</a></h1>
<p>The <a class="reference external" href="https://plot.ly/python/plotly-express/">plotly.express</a> module is
plotly’s high-level API for rapid figure generation.</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="kn">import</span> <span class="nn">plotly.express</span> <span class="k">as</span> <span class="nn">px</span>
</pre></div>
</div>
<table class="longtable docutils align-default">
<colgroup>
<col style="width: 10%" />
<col style="width: 90%" />
</colgroup>
<tbody>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/plotly.express.scatter.html#plotly.express.scatter" title="plotly.express.scatter"><code class="xref py py-obj docutils literal notranslate"><span class="pre">scatter</span></code></a>([data_frame, x, y, color, symbol, …])</p></td>
<td><p>In a scatter plot, each row of <code class="docutils literal notranslate"><span class="pre">data_frame</span></code> is represented by a symbol</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/plotly.express.scatter_3d.html#plotly.express.scatter_3d" title="plotly.express.scatter_3d"><code class="xref py py-obj docutils literal notranslate"><span class="pre">scatter_3d</span></code></a>([data_frame, x, y, z, color, …])</p></td>
<td><p>In a 3D scatter plot, each row of <code class="docutils literal notranslate"><span class="pre">data_frame</span></code> is represented by a</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/plotly.express.scatter_polar.html#plotly.express.scatter_polar" title="plotly.express.scatter_polar"><code class="xref py py-obj docutils literal notranslate"><span class="pre">scatter_polar</span></code></a>([data_frame, r, theta, color, …])</p></td>
<td><p>In a polar scatter plot, each row of <code class="docutils literal notranslate"><span class="pre">data_frame</span></code> is represented by a</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/plotly.express.scatter_ternary.html#plotly.express.scatter_ternary" title="plotly.express.scatter_ternary"><code class="xref py py-obj docutils literal notranslate"><span class="pre">scatter_ternary</span></code></a>([data_frame, a, b, c, …])</p></td>
<td><p>In a ternary scatter plot, each row of <code class="docutils literal notranslate"><span class="pre">data_frame</span></code> is represented by a</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/plotly.express.scatter_mapbox.html#plotly.express.scatter_mapbox" title="plotly.express.scatter_mapbox"><code class="xref py py-obj docutils literal notranslate"><span class="pre">scatter_mapbox</span></code></a>([data_frame, lat, lon, …])</p></td>
<td><p>In a Mapbox scatter plot, each row of <code class="docutils literal notranslate"><span class="pre">data_frame</span></code> is represented by a</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/plotly.express.scatter_geo.html#plotly.express.scatter_geo" title="plotly.express.scatter_geo"><code class="xref py py-obj docutils literal notranslate"><span class="pre">scatter_geo</span></code></a>([data_frame, lat, lon, …])</p></td>
<td><p>In a geographic scatter plot, each row of <code class="docutils literal notranslate"><span class="pre">data_frame</span></code> is represented</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/plotly.express.line.html#plotly.express.line" title="plotly.express.line"><code class="xref py py-obj docutils literal notranslate"><span class="pre">line</span></code></a>([data_frame, x, y, line_group, color, …])</p></td>
<td><p>In a 2D line plot, each row of <code class="docutils literal notranslate"><span class="pre">data_frame</span></code> is represented as vertex of</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/plotly.express.line_3d.html#plotly.express.line_3d" title="plotly.express.line_3d"><code class="xref py py-obj docutils literal notranslate"><span class="pre">line_3d</span></code></a>([data_frame, x, y, z, color, …])</p></td>
<td><p>In a 3D line plot, each row of <code class="docutils literal notranslate"><span class="pre">data_frame</span></code> is represented as vertex of</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/plotly.express.line_polar.html#plotly.express.line_polar" title="plotly.express.line_polar"><code class="xref py py-obj docutils literal notranslate"><span class="pre">line_polar</span></code></a>([data_frame, r, theta, color, …])</p></td>
<td><p>In a polar line plot, each row of <code class="docutils literal notranslate"><span class="pre">data_frame</span></code> is represented as vertex</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/plotly.express.line_ternary.html#plotly.express.line_ternary" title="plotly.express.line_ternary"><code class="xref py py-obj docutils literal notranslate"><span class="pre">line_ternary</span></code></a>([data_frame, a, b, c, color, …])</p></td>
<td><p>In a ternary line plot, each row of <code class="docutils literal notranslate"><span class="pre">data_frame</span></code> is represented as</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/plotly.express.line_mapbox.html#plotly.express.line_mapbox" title="plotly.express.line_mapbox"><code class="xref py py-obj docutils literal notranslate"><span class="pre">line_mapbox</span></code></a>([data_frame, lat, lon, color, …])</p></td>
<td><p>In a Mapbox line plot, each row of <code class="docutils literal notranslate"><span class="pre">data_frame</span></code> is represented as</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/plotly.express.line_geo.html#plotly.express.line_geo" title="plotly.express.line_geo"><code class="xref py py-obj docutils literal notranslate"><span class="pre">line_geo</span></code></a>([data_frame, lat, lon, locations, …])</p></td>
<td><p>In a geographic line plot, each row of <code class="docutils literal notranslate"><span class="pre">data_frame</span></code> is represented as</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/plotly.express.area.html#plotly.express.area" title="plotly.express.area"><code class="xref py py-obj docutils literal notranslate"><span class="pre">area</span></code></a>([data_frame, x, y, line_group, color, …])</p></td>
<td><p>In a stacked area plot, each row of <code class="docutils literal notranslate"><span class="pre">data_frame</span></code> is represented as</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/plotly.express.bar.html#plotly.express.bar" title="plotly.express.bar"><code class="xref py py-obj docutils literal notranslate"><span class="pre">bar</span></code></a>([data_frame, x, y, color, facet_row, …])</p></td>
<td><p>In a bar plot, each row of <code class="docutils literal notranslate"><span class="pre">data_frame</span></code> is represented as a rectangular</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/plotly.express.bar_polar.html#plotly.express.bar_polar" title="plotly.express.bar_polar"><code class="xref py py-obj docutils literal notranslate"><span class="pre">bar_polar</span></code></a>([data_frame, r, theta, color, …])</p></td>
<td><p>In a polar bar plot, each row of <code class="docutils literal notranslate"><span class="pre">data_frame</span></code> is represented as a wedge</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/plotly.express.violin.html#plotly.express.violin" title="plotly.express.violin"><code class="xref py py-obj docutils literal notranslate"><span class="pre">violin</span></code></a>([data_frame, x, y, color, facet_row, …])</p></td>
<td><p>In a violin plot, rows of <code class="docutils literal notranslate"><span class="pre">data_frame</span></code> are grouped together into a</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/plotly.express.box.html#plotly.express.box" title="plotly.express.box"><code class="xref py py-obj docutils literal notranslate"><span class="pre">box</span></code></a>([data_frame, x, y, color, facet_row, …])</p></td>
<td><p>In a box plot, rows of <code class="docutils literal notranslate"><span class="pre">data_frame</span></code> are grouped together into a</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/plotly.express.strip.html#plotly.express.strip" title="plotly.express.strip"><code class="xref py py-obj docutils literal notranslate"><span class="pre">strip</span></code></a>([data_frame, x, y, color, facet_row, …])</p></td>
<td><p>In a strip plot each row of <code class="docutils literal notranslate"><span class="pre">data_frame</span></code> is represented as a jittered</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/plotly.express.histogram.html#plotly.express.histogram" title="plotly.express.histogram"><code class="xref py py-obj docutils literal notranslate"><span class="pre">histogram</span></code></a>([data_frame, x, y, color, …])</p></td>
<td><p>In a histogram, rows of <code class="docutils literal notranslate"><span class="pre">data_frame</span></code> are grouped together into a</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/plotly.express.pie.html#plotly.express.pie" title="plotly.express.pie"><code class="xref py py-obj docutils literal notranslate"><span class="pre">pie</span></code></a>([data_frame, names, values, color, …])</p></td>
<td><p>In a pie plot, each row of <code class="docutils literal notranslate"><span class="pre">data_frame</span></code> is represented as a sector of a</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/plotly.express.treemap.html#plotly.express.treemap" title="plotly.express.treemap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">treemap</span></code></a>([data_frame, names, values, …])</p></td>
<td><p>A treemap plot represents hierarchial data as nested rectangular</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/plotly.express.sunburst.html#plotly.express.sunburst" title="plotly.express.sunburst"><code class="xref py py-obj docutils literal notranslate"><span class="pre">sunburst</span></code></a>([data_frame, names, values, …])</p></td>
<td><p>A sunburst plot represents hierarchial data as sectors laid out over</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/plotly.express.funnel.html#plotly.express.funnel" title="plotly.express.funnel"><code class="xref py py-obj docutils literal notranslate"><span class="pre">funnel</span></code></a>([data_frame, x, y, color, facet_row, …])</p></td>
<td><p>In a funnel plot, each row of <code class="docutils literal notranslate"><span class="pre">data_frame</span></code> is represented as a</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/plotly.express.funnel_area.html#plotly.express.funnel_area" title="plotly.express.funnel_area"><code class="xref py py-obj docutils literal notranslate"><span class="pre">funnel_area</span></code></a>([data_frame, names, values, …])</p></td>
<td><p>In a funnel area plot, each row of <code class="docutils literal notranslate"><span class="pre">data_frame</span></code> is represented as a</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/plotly.express.scatter_matrix.html#plotly.express.scatter_matrix" title="plotly.express.scatter_matrix"><code class="xref py py-obj docutils literal notranslate"><span class="pre">scatter_matrix</span></code></a>([data_frame, dimensions, …])</p></td>
<td><p>In a scatter plot matrix (or SPLOM), each row of <code class="docutils literal notranslate"><span class="pre">data_frame</span></code> is</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/plotly.express.parallel_coordinates.html#plotly.express.parallel_coordinates" title="plotly.express.parallel_coordinates"><code class="xref py py-obj docutils literal notranslate"><span class="pre">parallel_coordinates</span></code></a>([data_frame, …])</p></td>
<td><p>In a parallel coordinates plot, each row of <code class="docutils literal notranslate"><span class="pre">data_frame</span></code> is represented</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/plotly.express.parallel_categories.html#plotly.express.parallel_categories" title="plotly.express.parallel_categories"><code class="xref py py-obj docutils literal notranslate"><span class="pre">parallel_categories</span></code></a>([data_frame, …])</p></td>
<td><p>In a parallel categories (or parallel sets) plot, each row of</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/plotly.express.choropleth.html#plotly.express.choropleth" title="plotly.express.choropleth"><code class="xref py py-obj docutils literal notranslate"><span class="pre">choropleth</span></code></a>([data_frame, lat, lon, …])</p></td>
<td><p>In a choropleth map, each row of <code class="docutils literal notranslate"><span class="pre">data_frame</span></code> is represented by a</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/plotly.express.choropleth_mapbox.html#plotly.express.choropleth_mapbox" title="plotly.express.choropleth_mapbox"><code class="xref py py-obj docutils literal notranslate"><span class="pre">choropleth_mapbox</span></code></a>([data_frame, geojson, …])</p></td>
<td><p>In a Mapbox choropleth map, each row of <code class="docutils literal notranslate"><span class="pre">data_frame</span></code> is represented by a</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/plotly.express.density_contour.html#plotly.express.density_contour" title="plotly.express.density_contour"><code class="xref py py-obj docutils literal notranslate"><span class="pre">density_contour</span></code></a>([data_frame, x, y, z, …])</p></td>
<td><p>In a density contour plot, rows of <code class="docutils literal notranslate"><span class="pre">data_frame</span></code> are grouped together</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/plotly.express.density_heatmap.html#plotly.express.density_heatmap" title="plotly.express.density_heatmap"><code class="xref py py-obj docutils literal notranslate"><span class="pre">density_heatmap</span></code></a>([data_frame, x, y, z, …])</p></td>
<td><p>In a density heatmap, rows of <code class="docutils literal notranslate"><span class="pre">data_frame</span></code> are grouped together into</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/plotly.express.density_mapbox.html#plotly.express.density_mapbox" title="plotly.express.density_mapbox"><code class="xref py py-obj docutils literal notranslate"><span class="pre">density_mapbox</span></code></a>([data_frame, lat, lon, z, …])</p></td>
<td><p>In a Mapbox density map, each row of <code class="docutils literal notranslate"><span class="pre">data_frame</span></code> contributes to the intensity of</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/plotly.express.imshow.html#plotly.express.imshow" title="plotly.express.imshow"><code class="xref py py-obj docutils literal notranslate"><span class="pre">imshow</span></code></a>(img[, zmin, zmax, origin, labels, x, …])</p></td>
<td><p>Display an image, i.e.</p></td>
</tr>
</tbody>
</table>
</div>
</div>
</div>
</div>
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