PlotlyWidget.add_histogram2dcontour

PlotlyWidget.add_histogram2dcontour(autobinx=None, autobiny=None, autocolorscale=None, autocontour=None, bingroup=None, coloraxis=None, colorbar=None, colorscale=None, contours=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, line=None, marker=None, meta=None, metasrc=None, name=None, nbinsx=None, nbinsy=None, ncontours=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, xsrc=None, y=None, yaxis=None, ybingroup=None, ybins=None, ycalendar=None, ysrc=None, z=None, zauto=None, zhoverformat=None, zmax=None, zmid=None, zmin=None, zsrc=None, row=None, col=None, secondary_y=None, **kwargs)

Add a new Histogram2dContour trace

The sample data from which statistics are computed is set in x and y (where x and y represent marginal distributions, binning is set in xbins and ybins in this case) or z (where z represent the 2D distribution and binning set, binning is set by x and y in this case). The resulting distribution is visualized as a contour plot.

Parameters

  • autobinx – Obsolete: since v1.42 each bin attribute is auto- determined separately and autobinx is not needed. However, we accept autobinx: true or false and will update xbins accordingly before deleting autobinx from the trace.

  • autobiny – Obsolete: since v1.42 each bin attribute is auto- determined separately and autobiny is not needed. However, we accept autobiny: true or false and will update ybins accordingly before deleting autobiny from the trace.

  • autocolorscale – Determines whether the colorscale is a default palette (autocolorscale: true) or the palette determined by colorscale. In case colorscale is unspecified or autocolorscale is true, the default palette will be chosen according to whether numbers in the color array are all positive, all negative or mixed.

  • autocontour – Determines whether or not the contour level attributes are picked by an algorithm. If True, the number of contour levels can be set in ncontours. If False, set the contour level attributes in contours.

  • bingroup – Set the xbingroup and ybingroup default prefix For example, setting a bingroup of 1 on two histogram2d traces will make them their x-bins and y-bins match separately.

  • 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 layout.coloraxis, layout.coloraxis2, etc. Note that multiple color scales can be linked to the same color axis.

  • colorbar – plotly.graph_objects.histogram2dcontour.ColorBa r instance or dict with compatible properties

  • 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, [[0, ‘rgb(0,0,255)’], [1, ‘rgb(255,0,0)’]]. To control the bounds of the colorscale in color space, use`zmin` and zmax. Alternatively, colorscale 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.

  • contours – plotly.graph_objects.histogram2dcontour.Contour s instance or dict with compatible properties

  • 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

  • customdatasrc – Sets the source reference on Chart Studio Cloud for customdata .

  • 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.

  • 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).

  • hoverinfo – Determines which trace information appear on hover. If none or skip are set, no information is displayed upon hovering. But, if none is set, click and hover events are still fired.

  • hoverinfosrc – Sets the source reference on Chart Studio Cloud for hoverinfo .

  • hoverlabel – plotly.graph_objects.histogram2dcontour.Hoverla bel instance or dict with compatible properties

  • hovertemplate – Template string used for rendering the information that appear on hover box. Note that this will override hoverinfo. 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-time-format#locale_format for details on the date formatting syntax. The variables available in hovertemplate are the ones emitted as event data described at this link https://plotly.com/javascript/plotlyjs-events/#event- data. Additionally, every attributes that can be specified per-point (the ones that are arrayOk: true) are available. variable z Anything contained in tag <extra> is displayed in the secondary box, for example “<extra>{fullData.name}</extra>”. To hide the secondary box completely, use an empty tag <extra></extra>.

  • hovertemplatesrc – Sets the source reference on Chart Studio Cloud for hovertemplate .

  • 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.

  • idssrc – Sets the source reference on Chart Studio Cloud for ids .

  • 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.

  • line – plotly.graph_objects.histogram2dcontour.Line instance or dict with compatible properties

  • marker – plotly.graph_objects.histogram2dcontour.Marker instance or dict with compatible properties

  • meta – Assigns extra meta information associated with this trace that can be used in various text attributes. Attributes such as trace name, graph, axis and colorbar title.text, annotation text rangeselector, updatemenues and sliders label text all support meta. To access the trace meta values in an attribute in the same trace, simply use %{meta[i]} where i is the index or key of the meta item in question. To access trace meta in layout attributes, use %{data[n[.meta[i]} where i is the index or key of the meta and n is the trace index.

  • metasrc – Sets the source reference on Chart Studio Cloud for meta .

  • name – Sets the trace name. The trace name appear as the legend item and on hover.

  • 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 xbins.size is provided.

  • 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 ybins.size is provided.

  • ncontours – Sets the maximum number of contour levels. The actual number of contours will be chosen automatically to be less than or equal to the value of ncontours. Has an effect only if autocontour is True or if contours.size is missing.

  • opacity – Sets the opacity of the trace.

  • reversescale – Reverses the color mapping if true. If true, zmin will correspond to the last color in the array and zmax will correspond to the first color.

  • showlegend – Determines whether or not an item corresponding to this trace is shown in the legend.

  • showscale – Determines whether or not a colorbar is displayed for this trace.

  • stream – plotly.graph_objects.histogram2dcontour.Stream instance or dict with compatible properties

  • uid – Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions.

  • uirevision – Controls persistence of some user-driven changes to the trace: constraintrange in parcoords traces, as well as some editable: true modifications such as name and colorbar.title. Defaults to layout.uirevision. Note that other user-driven trace attribute changes are controlled by layout attributes: trace.visible is controlled by layout.legend.uirevision, selectedpoints is controlled by layout.selectionrevision, and colorbar.(x|y) (accessible with config: {editable: true}) is controlled by layout.editrevision. Trace changes are tracked by uid, which only falls back on trace index if no uid is provided. So if your app can add/remove traces before the end of the data array, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace a uid that stays with it as it moves.

  • 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).

  • x – Sets the sample data to be binned on the x axis.

  • 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 layout.xaxis. If “x2”, the x coordinates refer to layout.xaxis2, and so on.

  • xbingroup – Set a group of histogram traces which will have compatible x-bin settings. Using xbingroup, histogram2d and histogram2dcontour traces (on axes of the same axis type) can have compatible x-bin settings. Note that the same xbingroup value can be used to set (1D) histogram bingroup

  • xbins – plotly.graph_objects.histogram2dcontour.XBins instance or dict with compatible properties

  • xcalendar – Sets the calendar system to use with x date data.

  • xsrc – Sets the source reference on Chart Studio Cloud for x .

  • y – Sets the sample data to be binned on the y axis.

  • 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 layout.yaxis. If “y2”, the y coordinates refer to layout.yaxis2, and so on.

  • ybingroup – Set a group of histogram traces which will have compatible y-bin settings. Using ybingroup, histogram2d and histogram2dcontour traces (on axes of the same axis type) can have compatible y-bin settings. Note that the same ybingroup value can be used to set (1D) histogram bingroup

  • ybins – plotly.graph_objects.histogram2dcontour.YBins instance or dict with compatible properties

  • ycalendar – Sets the calendar system to use with y date data.

  • ysrc – Sets the source reference on Chart Studio Cloud for y .

  • z – Sets the aggregation data.

  • zauto – Determines whether or not the color domain is computed with respect to the input data (here in z) or the bounds set in zmin and zmax Defaults to false when zmin and zmax are set by the user.

  • zhoverformat – Sets the hover text formatting rule using d3 formatting mini-languages which are very similar to those in Python. See: https://github.com/d3/d3-3.x-api- reference/blob/master/Formatting.md#d3_format

  • zmax – Sets the upper bound of the color domain. Value should have the same units as in z and if set, zmin must be set as well.

  • zmid – Sets the mid-point of the color domain by scaling zmin and/or zmax to be equidistant to this point. Value should have the same units as in z. Has no effect when zauto is false.

  • zmin – Sets the lower bound of the color domain. Value should have the same units as in z and if set, zmax must be set as well.

  • zsrc – Sets the source reference on Chart Studio Cloud for z .

  • row ('all', int or None (default)) – Subplot row index (starting from 1) for the trace to be added. Only valid if figure was created using plotly.tools.make_subplots.If ‘all’, addresses all rows in the specified column(s).

  • col ('all', int or None (default)) – Subplot col index (starting from 1) for the trace to be added. Only valid if figure was created using plotly.tools.make_subplots.If ‘all’, addresses all columns in the specified row(s).

  • secondary_y (boolean or None (default None)) –

    If True, associate this trace with the secondary y-axis of the subplot at the specified row and col. Only valid if all of the following conditions are satisfied:

    • The figure was created using plotly.subplots.make_subplots.

    • The row and col arguments are not None

    • The subplot at the specified row and col has type xy (which is the default) and secondary_y True. These properties are specified in the specs argument to make_subplots. See the make_subplots docstring for more info.

Returns

Return type

FigureWidget

PlotlyWidget.add_histogram2d PlotlyWidget.add_hline