plotly.graph_objects.Streamtube — 6.6.0 documentation
arg – dict of properties compatible with this constructor or an instance of
plotly.graph_objects.Streamtubeautocolorscale – Determines whether the colorscale is a default palette (
autocolorscale: true) or the palette determined bycolorscale. In casecolorscaleis unspecified orautocolorscaleis true, the default palette will be chosen according to whether numbers in thecolorarray are all positive, all negative or mixed.cauto – Determines whether or not the color domain is computed with respect to the input data (here u/v/w norm) or the bounds set in
cminandcmaxDefaults tofalsewhencminandcmaxare set by the user.cmax – Sets the upper bound of the color domain. Value should have the same units as u/v/w norm and if set,
cminmust be set as well.cmid – Sets the mid-point of the color domain by scaling
cminand/orcmaxto be equidistant to this point. Value should have the same units as u/v/w norm. Has no effect whencautoisfalse.cmin – Sets the lower bound of the color domain. Value should have the same units as u/v/w norm and if set,
cmaxmust 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.streamtube.ColorBarinstance or dict with compatible propertiescolorscale – 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, usecminandcmax. Alternatively,colorscalemay 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.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.hoverinfo – Determines which trace information appear on hover. If
noneorskipare set, no information is displayed upon hovering. But, ifnoneis set, click and hover events are still fired.hoverinfosrc – Sets the source reference on Chart Studio Cloud for
hoverinfo.hoverlabel –
plotly.graph_objects.streamtube.Hoverlabelinstance or dict with compatible propertieshovertemplate – 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 inhovertemplateare 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 arearrayOk: true) are available. Finally, the template string has access to variablestubex,tubey,tubez,tubeu,tubev,tubew,normanddivergence. 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.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.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.streamtube.Legendgrouptitl einstance or dict with compatible propertieslegendrank – Sets the legend rank for this trace. Items and groups with smaller ranks are presented on top/left side while with “reversed”
legend.traceorderthey 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.streamtube.Lightinginstance or dict with compatible propertieslightposition –
plotly.graph_objects.streamtube.Lightpositioninstance or dict with compatible propertiesmaxdisplayed – The maximum number of displayed segments in a streamtube.
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 colorbartitle.text, annotationtextrangeselector,updatemenuesandsliderslabeltext all supportmeta. To access the tracemetavalues in an attribute in the same trace, simply use%{meta[i]}whereiis the index or key of themetaitem in question. To access tracemetain layout attributes, use%{data[n[.meta[i]}whereiis the index or key of themetaandnis 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
opacityvalues 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.reversescale – Reverses the color mapping if true. If true,
cminwill correspond to the last color in the array andcmaxwill 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 tolayout.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.
sizeref – The scaling factor for the streamtubes. The default is 1, which avoids two max divergence tubes from touching at adjacent starting positions.
starts –
plotly.graph_objects.streamtube.Startsinstance or dict with compatible propertiesstream –
plotly.graph_objects.streamtube.Streaminstance or dict with compatible propertiestext – Sets a text element associated with this trace. If trace
hoverinfocontains a “text” flag, this text element will be seen in all hover labels. Note that streamtube traces do not support arraytextvalues.u – Sets the x components of the vector field.
uhoverformat – Sets the hover text formatting rulefor
uusing 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.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:
constraintrangeinparcoordstraces, as well as someeditable: truemodifications such asnameandcolorbar.title. Defaults tolayout.uirevision. Note that other user-driven trace attribute changes are controlled bylayoutattributes:trace.visibleis controlled bylayout.legend.uirevision,selectedpointsis controlled bylayout.selectionrevision, andcolorbar.(x|y)(accessible withconfig: {editable: true}) is controlled bylayout.editrevision. Trace changes are tracked byuid, which only falls back on trace index if nouidis provided. So if your app can add/remove traces before the end of thedataarray, such that the same trace has a different index, you can still preserve user-driven changes if you give each trace auidthat stays with it as it moves.usrc – Sets the source reference on Chart Studio Cloud for
u.v – Sets the y components of the vector field.
vhoverformat – Sets the hover text formatting rulefor
vusing 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.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).
vsrc – Sets the source reference on Chart Studio Cloud for
v.w – Sets the z components of the vector field.
whoverformat – Sets the hover text formatting rulefor
wusing 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.wsrc – Sets the source reference on Chart Studio Cloud for
w.x – Sets the x coordinates of the vector field.
xhoverformat – Sets the hover text formatting rulefor
xusing 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 usingxaxis.hoverformat.xsrc – Sets the source reference on Chart Studio Cloud for
x.y – Sets the y coordinates of the vector field.
yhoverformat – Sets the hover text formatting rulefor
yusing 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 usingyaxis.hoverformat.ysrc – Sets the source reference on Chart Studio Cloud for
y.z – Sets the z coordinates of the vector field.
zhoverformat – Sets the hover text formatting rulefor
zusing 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 usingzaxis.hoverformat.zsrc – Sets the source reference on Chart Studio Cloud for
z.