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<!DOCTYPE html>

<head>

<title>plotly.graph_objects.Histogram2d — 4.6.0 documentation</title>

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<h1><a class="reference internal" href="plotly.graph_objects.html#module-plotly.graph_objects" title="plotly.graph_objects"><code class="xref py py-mod docutils literal notranslate">plotly.graph_objects</code></a>.Histogram2d<a class="headerlink" href="#plotly-graph-objs-histogram2d" title="Permalink to this headline">¶</a></h1>

class <code class="sig-prename descclassname">plotly.graph_objects.</code><code class="sig-name descname">Histogram2d</code>(arg=None, autobinx=None, autobiny=None, autocolorscale=None, bingroup=None, coloraxis=None, colorbar=None, colorscale=None, customdata=None, customdatasrc=None, histfunc=None, histnorm=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, hovertemplate=None, hovertemplatesrc=None, ids=None, idssrc=None, legendgroup=None, marker=None, meta=None, metasrc=None, name=None, nbinsx=None, nbinsy=None, opacity=None, reversescale=None, showlegend=None, showscale=None, stream=None, uid=None, uirevision=None, visible=None, x=None, xaxis=None, xbingroup=None, xbins=None, xcalendar=None, xgap=None, xsrc=None, y=None, yaxis=None, ybingroup=None, ybins=None, ycalendar=None, ygap=None, ysrc=None, z=None, zauto=None, zhoverformat=None, zmax=None, zmid=None, zmin=None, zsmooth=None, zsrc=None, **kwargs)<a class="headerlink" href="#plotly.graph_objects.Histogram2d" title="Permalink to this definition">¶</a></dt>

<code class="sig-name descname">__init__</code>(arg=None, autobinx=None, autobiny=None, autocolorscale=None, bingroup=None, coloraxis=None, colorbar=None, colorscale=None, customdata=None, customdatasrc=None, histfunc=None, histnorm=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, hovertemplate=None, hovertemplatesrc=None, ids=None, idssrc=None, legendgroup=None, marker=None, meta=None, metasrc=None, name=None, nbinsx=None, nbinsy=None, opacity=None, reversescale=None, showlegend=None, showscale=None, stream=None, uid=None, uirevision=None, visible=None, x=None, xaxis=None, xbingroup=None, xbins=None, xcalendar=None, xgap=None, xsrc=None, y=None, yaxis=None, ybingroup=None, ybins=None, ycalendar=None, ygap=None, ysrc=None, z=None, zauto=None, zhoverformat=None, zmax=None, zmid=None, zmin=None, zsmooth=None, zsrc=None, **kwargs)<a class="headerlink" href="#plotly.graph_objects.Histogram2d.__init__" title="Permalink to this definition">¶</a></dt>

<dd>Construct a new Histogram2d object

The sample data from which statistics are computed is set in

<code class="docutils literal notranslate">x</code> and <code class="docutils literal notranslate">y</code> (where <code class="docutils literal notranslate">x</code> and <code class="docutils literal notranslate">y</code> represent marginal

distributions, binning is set in <code class="docutils literal notranslate">xbins</code> and <code class="docutils literal notranslate">ybins</code> in this

case) or <code class="docutils literal notranslate">z</code> (where <code class="docutils literal notranslate">z</code> represent the 2D distribution and

binning set, binning is set by <code class="docutils literal notranslate">x</code> and <code class="docutils literal notranslate">y</code> in this case). The

resulting distribution is visualized as a heatmap.

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

<li>arg – dict of properties compatible with this constructor or

an instance of <a class="reference internal" href="#plotly.graph_objects.Histogram2d" title="plotly.graph_objects.Histogram2d"><code class="xref py py-class docutils literal notranslate">plotly.graph_objects.Histogram2d</code></a></li>

<li>autobinx – Obsolete: since v1.42 each bin attribute is auto-

determined separately and <code class="docutils literal notranslate">autobinx</code> is not needed.

However, we accept <code class="docutils literal notranslate">autobinx: true</code> or <code class="docutils literal notranslate">false</code> and will

update <code class="docutils literal notranslate">xbins</code> accordingly before deleting <code class="docutils literal notranslate">autobinx</code>

from the trace.</li>

<li>autobiny – Obsolete: since v1.42 each bin attribute is auto-

determined separately and <code class="docutils literal notranslate">autobiny</code> is not needed.

However, we accept <code class="docutils literal notranslate">autobiny: true</code> or <code class="docutils literal notranslate">false</code> and will

update <code class="docutils literal notranslate">ybins</code> accordingly before deleting <code class="docutils literal notranslate">autobiny</code>

from the trace.</li>

<li>autocolorscale – Determines whether the colorscale is a default palette

(<code class="docutils literal notranslate">autocolorscale: true</code>) or the palette determined by

<code class="docutils literal notranslate">colorscale</code>. In case <code class="docutils literal notranslate">colorscale</code> is unspecified or

<code class="docutils literal notranslate">autocolorscale</code> is true, the default palette will be

chosen according to whether numbers in the <code class="docutils literal notranslate">color</code>

array are all positive, all negative or mixed.</li>

<li>bingroup – Set the <code class="docutils literal notranslate">xbingroup</code> and <code class="docutils literal notranslate">ybingroup</code> default prefix For

example, setting a <code class="docutils literal notranslate">bingroup</code> of 1 on two histogram2d

traces will make them their x-bins and y-bins match

separately.</li>

<li>coloraxis – Sets a reference to a shared color axis. References to

these shared color axes are “coloraxis”, “coloraxis2”,

“coloraxis3”, etc. Settings for these shared color axes

are set in the layout, under <code class="docutils literal notranslate">layout.coloraxis</code>,

<code class="docutils literal notranslate">layout.coloraxis2</code>, etc. Note that multiple color

scales can be linked to the same color axis.</li>

<li>colorbar – <a class="reference internal" href="plotly.graph_objects.histogram2d.html#plotly.graph_objects.histogram2d.ColorBar" title="plotly.graph_objects.histogram2d.ColorBar"><code class="xref py py-class docutils literal notranslate">plotly.graph_objects.histogram2d.ColorBar</code></a>

instance or dict with compatible properties</li>

<li>colorscale – Sets the colorscale. The colorscale must be an array

containing arrays mapping a normalized value to an rgb,

rgba, hex, hsl, hsv, or named color string. At minimum,

a mapping for the lowest (0) and highest (1) values are

required. For example, <code class="docutils literal notranslate">[[0, 'rgb(0,0,255)'], [1,

'rgb(255,0,0)']]</code>. To control the bounds of the

colorscale in color space, use`zmin` and <code class="docutils literal notranslate">zmax</code>.

Alternatively, <code class="docutils literal notranslate">colorscale</code> may be a palette name

string of the following list: Greys,YlGnBu,Greens,YlOrR

d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H

ot,Blackbody,Earth,Electric,Viridis,Cividis.</li>

<li>customdata – Assigns extra data each datum. This may be useful when

listening to hover, click and selection events. Note

that, “scatter” traces also appends customdata items in

the markers DOM elements</li>

<li>customdatasrc – Sets the source reference on Chart Studio Cloud for

customdata .</li>

<li>histfunc – Specifies the binning function used for this histogram

trace. If “count”, the histogram values are computed by

counting the number of values lying inside each bin. If

“sum”, “avg”, “min”, “max”, the histogram values are

computed using the sum, the average, the minimum or the

maximum of the values lying inside each bin

respectively.</li>

<li>histnorm – Specifies the type of normalization used for this

histogram trace. If “”, the span of each bar

corresponds to the number of occurrences (i.e. the

number of data points lying inside the bins). If

“percent” / “probability”, the span of each bar

corresponds to the percentage / fraction of occurrences

with respect to the total number of sample points

(here, the sum of all bin HEIGHTS equals 100% / 1). If

“density”, the span of each bar corresponds to the

number of occurrences in a bin divided by the size of

the bin interval (here, the sum of all bin AREAS equals

the total number of sample points). If probability

density, the area of each bar corresponds to the

probability that an event will fall into the

corresponding bin (here, the sum of all bin AREAS

equals 1).</li>

<li>hoverinfo – Determines which trace information appear on hover. If

<code class="docutils literal notranslate">none</code> or <code class="docutils literal notranslate">skip</code> are set, no information is displayed

upon hovering. But, if <code class="docutils literal notranslate">none</code> is set, click and hover

events are still fired.</li>

<li>hoverinfosrc – Sets the source reference on Chart Studio Cloud for

hoverinfo .</li>

<li>hoverlabel – <a class="reference internal" href="plotly.graph_objects.histogram2d.html#plotly.graph_objects.histogram2d.Hoverlabel" title="plotly.graph_objects.histogram2d.Hoverlabel"><code class="xref py py-class docutils literal notranslate">plotly.graph_objects.histogram2d.Hoverlabel</code></a>

instance or dict with compatible properties</li>

<li>hovertemplate – Template string used for rendering the information that

appear on hover box. Note that this will override

<code class="docutils literal notranslate">hoverinfo</code>. Variables are inserted using %{variable},

for example “y: %{y}”. Numbers are formatted using

d3-format’s syntax %{variable:d3-format}, for example

“Price: %{y:$.2f}”. https://github.com/d3/d3-3.x-api-

reference/blob/master/Formatting.md#d3_format for

details on the formatting syntax. Dates are formatted

using d3-time-format’s syntax %{variable|d3-time-

format}, for example “Day: %{2019-01-01|%A}”.

https://github.com/d3/d3-3.x-api-

reference/blob/master/Time-Formatting.md#format for

details on the date formatting syntax. The variables

available in <code class="docutils literal notranslate">hovertemplate</code> are the ones emitted as

event data described at this link

<a class="reference external" href="https://plotly.com/javascript/plotlyjs-events/#event">https://plotly.com/javascript/plotlyjs-events/#event</a>-

data. Additionally, every attributes that can be

specified per-point (the ones that are <code class="docutils literal notranslate">arrayOk: true</code>)

are available. variable <code class="docutils literal notranslate">z</code> Anything contained in tag

<code class="docutils literal notranslate"><extra></code> is displayed in the secondary box, for

example “<extra>{fullData.name}</extra>”. To hide the

secondary box completely, use an empty tag

<li>hovertemplatesrc – Sets the source reference on Chart Studio Cloud for

hovertemplate .</li>

<li>ids – Assigns id labels to each datum. These ids for object

constancy of data points during animation. Should be an

array of strings, not numbers or any other type.</li>

<li>idssrc – Sets the source reference on Chart Studio Cloud for

ids .</li>

<li>legendgroup – Sets the legend group for this trace. Traces part of

the same legend group hide/show at the same time when

toggling legend items.</li>

<li>marker – <a class="reference internal" href="plotly.graph_objects.histogram2d.html#plotly.graph_objects.histogram2d.Marker" title="plotly.graph_objects.histogram2d.Marker"><code class="xref py py-class docutils literal notranslate">plotly.graph_objects.histogram2d.Marker</code></a>

instance or dict with compatible properties</li>

<li>meta – Assigns extra meta information associated with this

trace that can be used in various text attributes.

Attributes such as trace <code class="docutils literal notranslate">name</code>, graph, axis and

colorbar <code class="docutils literal notranslate">title.text</code>, annotation <code class="docutils literal notranslate">text</code>

<code class="docutils literal notranslate">rangeselector</code>, <code class="docutils literal notranslate">updatemenues</code> and <code class="docutils literal notranslate">sliders</code> <code class="docutils literal notranslate">label</code>

text all support <code class="docutils literal notranslate">meta</code>. To access the trace <code class="docutils literal notranslate">meta</code>

values in an attribute in the same trace, simply use

<code class="docutils literal notranslate">%{meta[i]}</code> where <code class="docutils literal notranslate">i</code> is the index or key of the

<code class="docutils literal notranslate">meta</code> item in question. To access trace <code class="docutils literal notranslate">meta</code> in

layout attributes, use <code class="docutils literal notranslate">%{data[n[.meta[i]}</code> where <code class="docutils literal notranslate">i</code>

is the index or key of the <code class="docutils literal notranslate">meta</code> and <code class="docutils literal notranslate">n</code> is the trace

index.</li>

<li>metasrc – Sets the source reference on Chart Studio Cloud for

meta .</li>

<li>name – Sets the trace name. The trace name appear as the

legend item and on hover.</li>

<li>nbinsx – Specifies the maximum number of desired bins. This

value will be used in an algorithm that will decide the

optimal bin size such that the histogram best

visualizes the distribution of the data. Ignored if

<code class="docutils literal notranslate">xbins.size</code> is provided.</li>

<li>nbinsy – Specifies the maximum number of desired bins. This

value will be used in an algorithm that will decide the

optimal bin size such that the histogram best

visualizes the distribution of the data. Ignored if

<code class="docutils literal notranslate">ybins.size</code> is provided.</li>

<li>opacity – Sets the opacity of the trace.</li>

<li>reversescale – Reverses the color mapping if true. If true, <code class="docutils literal notranslate">zmin</code>

will correspond to the last color in the array and

<code class="docutils literal notranslate">zmax</code> will correspond to the first color.</li>

<li>showlegend – Determines whether or not an item corresponding to this

trace is shown in the legend.</li>

<li>showscale – Determines whether or not a colorbar is displayed for

this trace.</li>

<li>stream – <a class="reference internal" href="plotly.graph_objects.histogram2d.html#plotly.graph_objects.histogram2d.Stream" title="plotly.graph_objects.histogram2d.Stream"><code class="xref py py-class docutils literal notranslate">plotly.graph_objects.histogram2d.Stream</code></a>

instance or dict with compatible properties</li>

<li>uid – Assign an id to this trace, Use this to provide object

constancy between traces during animations and

transitions.</li>

<li>uirevision – Controls persistence of some user-driven changes to the

trace: <code class="docutils literal notranslate">constraintrange</code> in <code class="docutils literal notranslate">parcoords</code> traces, as well

as some <code class="docutils literal notranslate">editable: true</code> modifications such as <code class="docutils literal notranslate">name</code>

and <code class="docutils literal notranslate">colorbar.title</code>. Defaults to <code class="docutils literal notranslate">layout.uirevision</code>.

Note that other user-driven trace attribute changes are

controlled by <code class="docutils literal notranslate">layout</code> attributes: <code class="docutils literal notranslate">trace.visible</code> is

controlled by <code class="docutils literal notranslate">layout.legend.uirevision</code>,

<code class="docutils literal notranslate">selectedpoints</code> is controlled by

<code class="docutils literal notranslate">layout.selectionrevision</code>, and <code class="docutils literal notranslate">colorbar.(x|y)</code>

(accessible with <code class="docutils literal notranslate">config: {editable: true}</code>) is

controlled by <code class="docutils literal notranslate">layout.editrevision</code>. Trace changes are

tracked by <code class="docutils literal notranslate">uid</code>, which only falls back on trace index

if no <code class="docutils literal notranslate">uid</code> is provided. So if your app can add/remove

traces before the end of the <code class="docutils literal notranslate">data</code> array, such that

the same trace has a different index, you can still

preserve user-driven changes if you give each trace a

<code class="docutils literal notranslate">uid</code> that stays with it as it moves.</li>

<li>visible – Determines whether or not this trace is visible. If

“legendonly”, the trace is not drawn, but can appear as

a legend item (provided that the legend itself is

visible).</li>

<li>x – Sets the sample data to be binned on the x axis.</li>

<li>xaxis – Sets a reference between this trace’s x coordinates and

a 2D cartesian x axis. If “x” (the default value), the

x coordinates refer to <code class="docutils literal notranslate">layout.xaxis</code>. If “x2”, the x

coordinates refer to <code class="docutils literal notranslate">layout.xaxis2</code>, and so on.</li>

<li>xbingroup – Set a group of histogram traces which will have

compatible x-bin settings. Using <code class="docutils literal notranslate">xbingroup</code>,

histogram2d and histogram2dcontour traces (on axes of

the same axis type) can have compatible x-bin settings.

Note that the same <code class="docutils literal notranslate">xbingroup</code> value can be used to set

(1D) histogram <code class="docutils literal notranslate">bingroup</code></li>

<li>xbins – <a class="reference internal" href="plotly.graph_objects.histogram2d.html#plotly.graph_objects.histogram2d.XBins" title="plotly.graph_objects.histogram2d.XBins"><code class="xref py py-class docutils literal notranslate">plotly.graph_objects.histogram2d.XBins</code></a>

instance or dict with compatible properties</li>

<li>xcalendar – Sets the calendar system to use with <code class="docutils literal notranslate">x</code> date data.</li>

<li>xgap – Sets the horizontal gap (in pixels) between bricks.</li>

<li>xsrc – Sets the source reference on Chart Studio Cloud for x

.</li>

<li>y – Sets the sample data to be binned on the y axis.</li>

<li>yaxis – Sets a reference between this trace’s y coordinates and

a 2D cartesian y axis. If “y” (the default value), the

y coordinates refer to <code class="docutils literal notranslate">layout.yaxis</code>. If “y2”, the y

coordinates refer to <code class="docutils literal notranslate">layout.yaxis2</code>, and so on.</li>

<li>ybingroup – Set a group of histogram traces which will have

compatible y-bin settings. Using <code class="docutils literal notranslate">ybingroup</code>,

histogram2d and histogram2dcontour traces (on axes of

the same axis type) can have compatible y-bin settings.

Note that the same <code class="docutils literal notranslate">ybingroup</code> value can be used to set

(1D) histogram <code class="docutils literal notranslate">bingroup</code></li>

<li>ybins – <a class="reference internal" href="plotly.graph_objects.histogram2d.html#plotly.graph_objects.histogram2d.YBins" title="plotly.graph_objects.histogram2d.YBins"><code class="xref py py-class docutils literal notranslate">plotly.graph_objects.histogram2d.YBins</code></a>

instance or dict with compatible properties</li>

<li>ycalendar – Sets the calendar system to use with <code class="docutils literal notranslate">y</code> date data.</li>

<li>ygap – Sets the vertical gap (in pixels) between bricks.</li>

<li>ysrc – Sets the source reference on Chart Studio Cloud for y

.</li>

<li>z – Sets the aggregation data.</li>

<li>zauto – Determines whether or not the color domain is computed

with respect to the input data (here in <code class="docutils literal notranslate">z</code>) or the

bounds set in <code class="docutils literal notranslate">zmin</code> and <code class="docutils literal notranslate">zmax</code> Defaults to <code class="docutils literal notranslate">false</code>

when <code class="docutils literal notranslate">zmin</code> and <code class="docutils literal notranslate">zmax</code> are set by the user.</li>

<li>zhoverformat – Sets the hover text formatting rule using d3 formatting

mini-languages which are very similar to those in

Python. See: <a class="reference external" href="https://github.com/d3/d3-3.x-api">https://github.com/d3/d3-3.x-api</a>-

reference/blob/master/Formatting.md#d3_format</li>

<li>zmax – Sets the upper bound of the color domain. Value should

have the same units as in <code class="docutils literal notranslate">z</code> and if set, <code class="docutils literal notranslate">zmin</code> must

be set as well.</li>

<li>zmid – Sets the mid-point of the color domain by scaling

<code class="docutils literal notranslate">zmin</code> and/or <code class="docutils literal notranslate">zmax</code> to be equidistant to this point.

Value should have the same units as in <code class="docutils literal notranslate">z</code>. Has no

effect when <code class="docutils literal notranslate">zauto</code> is <code class="docutils literal notranslate">false</code>.</li>

<li>zmin – Sets the lower bound of the color domain. Value should

have the same units as in <code class="docutils literal notranslate">z</code> and if set, <code class="docutils literal notranslate">zmax</code> must

be set as well.</li>

<li>zsmooth – Picks a smoothing algorithm use to smooth <code class="docutils literal notranslate">z</code> data.</li>

<li>zsrc – Sets the source reference on Chart Studio Cloud for z

.</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.Histogram2d" title="plotly.graph_objects.Histogram2d">Histogram2d</a>

</dd>

</dl>

</dd></dl>

</div>

<h1><a class="reference internal" href="plotly.graph_objects.html#module-plotly.graph_objects" title="plotly.graph_objects"><code class="xref py py-mod docutils literal notranslate">plotly.graph_objects</code></a>.histogram2d<a class="headerlink" href="#id1" title="Permalink to this headline">¶</a></h1>

</colgroup>

<tbody>

<tr class="row-odd"><td><a class="reference internal" href="#module-plotly.graph_objects.histogram2d" title="plotly.graph_objects.histogram2d"><code class="xref py py-obj docutils literal notranslate">plotly.graph_objects.histogram2d</code></a></td>

</tr>

</tbody>

</table>

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