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<!DOCTYPE html>

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<h1><a class="reference internal" href="plotly.express.html#module-plotly.express" title="plotly.express"><code class="xref py py-mod docutils literal notranslate">plotly.express</code></a>.density_heatmap<a class="headerlink" href="#plotly-express-density-heatmap" title="Permalink to this headline">¶</a></h1>

<code class="sig-prename descclassname">plotly.express.</code><code class="sig-name descname">density_heatmap</code>(data_frame=None, x=None, y=None, z=None, facet_row=None, facet_col=None, facet_col_wrap=0, hover_name=None, hover_data=None, animation_frame=None, animation_group=None, category_orders={}, labels={}, color_continuous_scale=None, range_color=None, color_continuous_midpoint=None, marginal_x=None, marginal_y=None, opacity=None, log_x=False, log_y=False, range_x=None, range_y=None, histfunc=None, histnorm=None, nbinsx=None, nbinsy=None, title=None, template=None, width=None, height=None)<a class="headerlink" href="#plotly.express.density_heatmap" title="Permalink to this definition">¶</a></dt>

<div>In a density heatmap, rows of <code class="docutils literal notranslate">data_frame</code> are grouped together into

colored rectangular tiles to visualize the 2D distribution of an

aggregate function <code class="docutils literal notranslate">histfunc</code> (e.g. the count or sum) of the value <code class="docutils literal notranslate">z</code>.

</div></blockquote>

<dt class="field-odd">Parameters</dt>

<li>data_frame (DataFrame or array-like or <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.8)">dict</a>) – This argument needs to be passed for column names (and not keyword

names) to be used. Array-like and dict are tranformed internally to a

pandas DataFrame. Optional: if missing, a DataFrame gets constructed

under the hood using the other arguments.</li>

<li>x (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.8)">str</a> or <a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.8)">int</a> or Series or array-like) – Either a name of a column in <code class="docutils literal notranslate">data_frame</code>, or a pandas Series or

array_like object. Values from this column or array_like are used to

position marks along the x axis in cartesian coordinates. For

horizontal histograms, these values are used as inputs to <code class="docutils literal notranslate">histfunc</code>.</li>

<li>y (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.8)">str</a> or <a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.8)">int</a> or Series or array-like) – Either a name of a column in <code class="docutils literal notranslate">data_frame</code>, or a pandas Series or

array_like object. Values from this column or array_like are used to

position marks along the y axis in cartesian coordinates. For vertical

histograms, these values are used as inputs to <code class="docutils literal notranslate">histfunc</code>.</li>

<li>z (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.8)">str</a> or <a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.8)">int</a> or Series or array-like) – Either a name of a column in <code class="docutils literal notranslate">data_frame</code>, or a pandas Series or

array_like object. Values from this column or array_like are used to

position marks along the z axis in cartesian coordinates. For

<code class="docutils literal notranslate">density_heatmap</code> and <code class="docutils literal notranslate">density_contour</code> these values are used as the

inputs to <code class="docutils literal notranslate">histfunc</code>.</li>

<li>facet_row (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.8)">str</a> or <a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.8)">int</a> or Series or array-like) – Either a name of a column in <code class="docutils literal notranslate">data_frame</code>, or a pandas Series or

array_like object. Values from this column or array_like are used to

assign marks to facetted subplots in the vertical direction.</li>

<li>facet_col (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.8)">str</a> or <a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.8)">int</a> or Series or array-like) – Either a name of a column in <code class="docutils literal notranslate">data_frame</code>, or a pandas Series or

array_like object. Values from this column or array_like are used to

assign marks to facetted subplots in the horizontal direction.</li>

<li>facet_col_wrap (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.8)">int</a>) – Maximum number of facet columns. Wraps the column variable at this

width, so that the column facets span multiple rows. Ignored if 0, and

forced to 0 if <code class="docutils literal notranslate">facet_row</code> or a <code class="docutils literal notranslate">marginal</code> is set.</li>

<li>hover_name (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.8)">str</a> or <a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.8)">int</a> or Series or array-like) – Either a name of a column in <code class="docutils literal notranslate">data_frame</code>, or a pandas Series or

array_like object. Values from this column or array_like appear in bold

in the hover tooltip.</li>

<li>hover_data (list of str or <a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.8)">int</a>, or Series or array-like, or <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.8)">dict</a>) – Either a list of names of columns in <code class="docutils literal notranslate">data_frame</code>, or pandas Series, or

array_like objects or a dict with column names as keys, with values

True (for default formatting) False (in order to remove this column

from hover information), or a formatting string, for example ‘:.3f’ or

‘<a href="#id1">|</a>%a’ or list-like data to appear in the hover tooltip or tuples with a

bool or formatting string as first element, and list-like data to

appear in hover as second element Values from these columns appear as

extra data in the hover tooltip.</li>

<li>animation_frame (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.8)">str</a> or <a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.8)">int</a> or Series or array-like) – Either a name of a column in <code class="docutils literal notranslate">data_frame</code>, or a pandas Series or

array_like object. Values from this column or array_like are used to

assign marks to animation frames.</li>

<li>animation_group (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.8)">str</a> or <a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.8)">int</a> or Series or array-like) – Either a name of a column in <code class="docutils literal notranslate">data_frame</code>, or a pandas Series or

array_like object. Values from this column or array_like are used to

provide object-constancy across animation frames: rows with matching

<a href="#id3">`</a>animation_group`s will be treated as if they describe the same object

in each frame.</li>

<li>category_orders (dict with str keys and list of str values (default <code class="docutils literal notranslate">{}</code>)) – By default, in Python 3.6+, the order of categorical values in axes,

legends and facets depends on the order in which these values are first

encountered in <code class="docutils literal notranslate">data_frame</code> (and no order is guaranteed by default in

Python below 3.6). This parameter is used to force a specific ordering

of values per column. The keys of this dict should correspond to column

names, and the values should be lists of strings corresponding to the

specific display order desired.</li>

<li>labels (dict with str keys and str values (default <code class="docutils literal notranslate">{}</code>)) – By default, column names are used in the figure for axis titles, legend

entries and hovers. This parameter allows this to be overridden. The

keys of this dict should correspond to column names, and the values

should correspond to the desired label to be displayed.</li>

<li>color_continuous_scale (list of str) – Strings should define valid CSS-colors This list is used to build a

continuous color scale when the column denoted by <code class="docutils literal notranslate">color</code> contains

numeric data. Various useful color scales are available in the

<code class="docutils literal notranslate">plotly.express.colors</code> submodules, specifically

<code class="docutils literal notranslate">plotly.express.colors.sequential</code>, <code class="docutils literal notranslate">plotly.express.colors.diverging</code>

and <code class="docutils literal notranslate">plotly.express.colors.cyclical</code>.</li>

<li>range_color (list of two numbers) – If provided, overrides auto-scaling on the continuous color scale.</li>

<li>color_continuous_midpoint (number (default <code class="docutils literal notranslate">None</code>)) – If set, computes the bounds of the continuous color scale to have the

desired midpoint. Setting this value is recommended when using

<code class="docutils literal notranslate">plotly.express.colors.diverging</code> color scales as the inputs to

<code class="docutils literal notranslate">color_continuous_scale</code>.</li>

<li>marginal_x (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.8)">str</a>) – One of <code class="docutils literal notranslate">'rug'</code>, <code class="docutils literal notranslate">'box'</code>, <code class="docutils literal notranslate">'violin'</code>, or <code class="docutils literal notranslate">'histogram'</code>. If set, a

horizontal subplot is drawn above the main plot, visualizing the

x-distribution.</li>

<li>marginal_y (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.8)">str</a>) – One of <code class="docutils literal notranslate">'rug'</code>, <code class="docutils literal notranslate">'box'</code>, <code class="docutils literal notranslate">'violin'</code>, or <code class="docutils literal notranslate">'histogram'</code>. If set, a

vertical subplot is drawn to the right of the main plot, visualizing

the y-distribution.</li>

<li>opacity (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.8)">float</a>) – Value between 0 and 1. Sets the opacity for markers.</li>

<li>log_x (boolean (default <code class="docutils literal notranslate">False</code>)) – If <code class="docutils literal notranslate">True</code>, the x-axis is log-scaled in cartesian coordinates.</li>

<li>log_y (boolean (default <code class="docutils literal notranslate">False</code>)) – If <code class="docutils literal notranslate">True</code>, the y-axis is log-scaled in cartesian coordinates.</li>

<li>range_x (list of two numbers) – If provided, overrides auto-scaling on the x-axis in cartesian

coordinates.</li>

<li>range_y (list of two numbers) – If provided, overrides auto-scaling on the y-axis in cartesian

coordinates.</li>

<li>histfunc (str (default <code class="docutils literal notranslate">'count'</code>)) – One of <code class="docutils literal notranslate">'count'</code>, <code class="docutils literal notranslate">'sum'</code>, <code class="docutils literal notranslate">'avg'</code>, <code class="docutils literal notranslate">'min'</code>, or <code class="docutils literal notranslate">'max'</code>.Function used

to aggregate values for summarization (note: can be normalized with

<code class="docutils literal notranslate">histnorm</code>). The arguments to this function for <code class="docutils literal notranslate">histogram</code> are the

values of <code class="docutils literal notranslate">y</code> if <code class="docutils literal notranslate">orientation</code> is <code class="docutils literal notranslate">'v'</code>, otherwise the arguements are

the values of <code class="docutils literal notranslate">x</code>. The arguments to this function for <code class="docutils literal notranslate">density_heatmap</code>

and <code class="docutils literal notranslate">density_contour</code> are the values of <code class="docutils literal notranslate">z</code>.</li>

<li>histnorm (str (default <code class="docutils literal notranslate">None</code>)) – One of <code class="docutils literal notranslate">'percent'</code>, <code class="docutils literal notranslate">'probability'</code>, <code class="docutils literal notranslate">'density'</code>, or <code class="docutils literal notranslate">'probability

density'</code> If <code class="docutils literal notranslate">None</code>, the output of <code class="docutils literal notranslate">histfunc</code> is used as is. If

<code class="docutils literal notranslate">'probability'</code>, the output of <code class="docutils literal notranslate">histfunc</code> for a given bin is divided by

the sum of the output of <code class="docutils literal notranslate">histfunc</code> for all bins. If <code class="docutils literal notranslate">'percent'</code>, the

output of <code class="docutils literal notranslate">histfunc</code> for a given bin is divided by the sum of the

output of <code class="docutils literal notranslate">histfunc</code> for all bins and multiplied by 100. If

<code class="docutils literal notranslate">'density'</code>, the output of <code class="docutils literal notranslate">histfunc</code> for a given bin is divided by the

size of the bin. If <code class="docutils literal notranslate">'probability density'</code>, the output of <code class="docutils literal notranslate">histfunc</code>

for a given bin is normalized such that it corresponds to the

probability that a random event whose distribution is described by the

output of <code class="docutils literal notranslate">histfunc</code> will fall into that bin.</li>

<li>nbinsx (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.8)">int</a>) – Positive integer. Sets the number of bins along the x axis.</li>

<li>nbinsy (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.8)">int</a>) – Positive integer. Sets the number of bins along the y axis.</li>

<li>title (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.8)">str</a>) – The figure title.</li>

<li>template (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.8)">str</a> or <a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.8)">dict</a> or plotly.graph_objects.layout.Template instance) – The figure template name (must be a key in plotly.io.templates) or

definition.</li>

<li>width (int (default <code class="docutils literal notranslate">None</code>)) – The figure width in pixels.</li>

<li>height (int (default <code class="docutils literal notranslate">None</code>)) – The figure height in pixels.</li>

</ul>

</dd>

<dt class="field-even">Returns</dt>

</dd>

<dt class="field-odd">Return type</dt>

<dd class="field-odd"><a class="reference internal" href="plotly.graph_objects.html#plotly.graph_objects.Figure" title="plotly.graph_objects.Figure">plotly.graph_objects.Figure</a>

</dd>

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