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plotly.graph_objects.Volume — 6.6.0 documentation

  • arg – dict of properties compatible with this constructor or an instance of plotly.graph_objects.Volume

  • 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.

  • caps – plotly.graph_objects.volume.Caps instance or dict with compatible properties

  • cauto – Determines whether or not the color domain is computed with respect to the input data (here value) or the bounds set in cmin and cmax Defaults to false when cmin and cmax are set by the user.

  • cmax – Sets the upper bound of the color domain. Value should have the same units as value and if set, cmin must be set as well.

  • cmid – Sets the mid-point of the color domain by scaling cmin and/or cmax to be equidistant to this point. Value should have the same units as value. Has no effect when cauto is false.

  • cmin – Sets the lower bound of the color domain. Value should have the same units as value and if set, cmax must be set as well.

  • 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.volume.ColorBar 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 cmin and cmax. Alternatively, colorscale may be a palette name string of the following list: Blackbody,Bluered,Blues,C ividis,Earth,Electric,Greens,Greys,Hot,Jet,Picnic,Portl and,Rainbow,RdBu,Reds,Viridis,YlGnBu,YlOrRd.

  • contour – plotly.graph_objects.volume.Contour 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.

  • flatshading – Determines whether or not normal smoothing is applied to the meshes, creating meshes with an angular, low- poly look via flat reflections.

  • 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.volume.Hoverlabel 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}” as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When showing info for several points, “xother” will be added to those with different x positions from the first point. An underscore before or after “(x|y)other” will add a space on that side, only when this field is shown. Numbers are formatted using d3-format’s syntax %{variable:d3-format}, for example “Price: %{y:$.2f}”. https://github.com/d3/d3-format/tree/v1.4.5#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/tree/v2.2.3#locale_format for details on the date formatting syntax. Variables that can’t be found will be replaced with the specifier. For example, a template of “data: %{x}, %{y}” will result in a value of “data: 1, %{y}” if x is 1 and y is missing. Variables with an undefined value will be replaced with the fallback value. 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, all attributes that can be specified per-point (the ones that are arrayOk: true) are available. 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>.

  • hovertemplatefallback – Fallback string that’s displayed when a variable referenced in a template is missing. If the boolean value ‘false’ is passed in, the specifier with the missing variable will be displayed.

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

  • hovertext – Same as text.

  • hovertextsrc – Sets the source reference on Chart Studio Cloud for hovertext.

  • 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.

  • isomax – Sets the maximum boundary for iso-surface plot.

  • isomin – Sets the minimum boundary for iso-surface plot.

  • legend – Sets the reference to a legend to show this trace in. References to these legends are “legend”, “legend2”, “legend3”, etc. Settings for these legends are set in the layout, under layout.legend, layout.legend2, etc.

  • legendgroup – Sets the legend group for this trace. Traces and shapes part of the same legend group hide/show at the same time when toggling legend items.

  • legendgrouptitle – plotly.graph_objects.volume.Legendgrouptitle instance or dict with compatible properties

  • legendrank – Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with “reversed” legend.traceorder they are on bottom/right side. The default legendrank is 1000, so that you can use ranks less than 1000 to place certain items before all unranked items, and ranks greater than 1000 to go after all unranked items. When having unranked or equal rank items shapes would be displayed after traces i.e. according to their order in data and layout.

  • legendwidth – Sets the width (in px or fraction) of the legend for this trace.

  • lighting – plotly.graph_objects.volume.Lighting instance or dict with compatible properties

  • lightposition – plotly.graph_objects.volume.Lightposition 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 appears as the legend item and on hover.

  • opacity – Sets the opacity of the surface. Please note that in the case of using high opacity values for example a value greater than or equal to 0.5 on two surfaces (and 0.25 with four surfaces), an overlay of multiple transparent surfaces may not perfectly be sorted in depth by the webgl API. This behavior may be improved in the near future and is subject to change.

  • opacityscale – Sets the opacityscale. The opacityscale must be an array containing arrays mapping a normalized value to an opacity value. At minimum, a mapping for the lowest (0) and highest (1) values are required. For example, [[0, 1], [0.5, 0.2], [1, 1]] means that higher/lower values would have higher opacity values and those in the middle would be more transparent Alternatively, opacityscale may be a palette name string of the following list: ‘min’, ‘max’, ‘extremes’ and ‘uniform’. The default is ‘uniform’.

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

  • scene – Sets a reference between this trace’s 3D coordinate system and a 3D scene. If “scene” (the default value), the (x,y,z) coordinates refer to layout.scene. If “scene2”, the (x,y,z) coordinates refer to layout.scene2, and so on.

  • 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.

  • slices – plotly.graph_objects.volume.Slices instance or dict with compatible properties

  • spaceframe – plotly.graph_objects.volume.Spaceframe instance or dict with compatible properties

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

  • surface – plotly.graph_objects.volume.Surface instance or dict with compatible properties

  • text – Sets the text elements associated with the vertices. If trace hoverinfo contains a “text” flag and “hovertext” is not set, these elements will be seen in the hover labels.

  • textsrc – Sets the source reference on Chart Studio Cloud for text.

  • 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.

  • value – Sets the 4th dimension (value) of the vertices.

  • valuehoverformat – Sets the hover text formatting rulefor value using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d 3/d3-format/tree/v1.4.5#d3-format.By default the values are formatted using generic number format.

  • valuesrc – Sets the source reference on Chart Studio Cloud for value.

  • 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 X coordinates of the vertices on X axis.

  • xhoverformat – Sets the hover text formatting rulefor x using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3’s date formatter: “%h” for half of the year as a decimal number as well as “%{n}f” for fractional seconds with n digits. For example, 2016-10-13 09:15:23.456 with tickformat “%H~%M~%S.%2f” would display *09~15~23.46*By default the values are formatted using xaxis.hoverformat.

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

  • y – Sets the Y coordinates of the vertices on Y axis.

  • yhoverformat – Sets the hover text formatting rulefor y using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3’s date formatter: “%h” for half of the year as a decimal number as well as “%{n}f” for fractional seconds with n digits. For example, 2016-10-13 09:15:23.456 with tickformat “%H~%M~%S.%2f” would display *09~15~23.46*By default the values are formatted using yaxis.hoverformat.

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

  • z – Sets the Z coordinates of the vertices on Z axis.

  • zhoverformat – Sets the hover text formatting rulefor z using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for dates see: https://github.com/d3/d3-time- format/tree/v2.2.3#locale_format. We add two items to d3’s date formatter: “%h” for half of the year as a decimal number as well as “%{n}f” for fractional seconds with n digits. For example, 2016-10-13 09:15:23.456 with tickformat “%H~%M~%S.%2f” would display *09~15~23.46*By default the values are formatted using zaxis.hoverformat.

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