from plotly.basedatatypes import BaseTraceType as _BaseTraceType import copy as _copy class Mesh3d(_BaseTraceType): # class properties # -------------------- _parent_path_str = "" _path_str = "mesh3d" _valid_props = { "alphahull", "autocolorscale", "cauto", "cmax", "cmid", "cmin", "color", "coloraxis", "colorbar", "colorscale", "contour", "customdata", "customdatasrc", "delaunayaxis", "facecolor", "facecolorsrc", "flatshading", "hoverinfo", "hoverinfosrc", "hoverlabel", "hovertemplate", "hovertemplatesrc", "hovertext", "hovertextsrc", "i", "ids", "idssrc", "intensity", "intensitymode", "intensitysrc", "isrc", "j", "jsrc", "k", "ksrc", "legend", "legendgroup", "legendgrouptitle", "legendrank", "legendwidth", "lighting", "lightposition", "meta", "metasrc", "name", "opacity", "reversescale", "scene", "showlegend", "showscale", "stream", "text", "textsrc", "type", "uid", "uirevision", "vertexcolor", "vertexcolorsrc", "visible", "x", "xcalendar", "xhoverformat", "xsrc", "y", "ycalendar", "yhoverformat", "ysrc", "z", "zcalendar", "zhoverformat", "zsrc", } # alphahull # --------- @property def alphahull(self): """ Determines how the mesh surface triangles are derived from the set of vertices (points) represented by the `x`, `y` and `z` arrays, if the `i`, `j`, `k` arrays are not supplied. For general use of `mesh3d` it is preferred that `i`, `j`, `k` are supplied. If "-1", Delaunay triangulation is used, which is mainly suitable if the mesh is a single, more or less layer surface that is perpendicular to `delaunayaxis`. In case the `delaunayaxis` intersects the mesh surface at more than one point it will result triangles that are very long in the dimension of `delaunayaxis`. If ">0", the alpha-shape algorithm is used. In this case, the positive `alphahull` value signals the use of the alpha-shape algorithm, _and_ its value acts as the parameter for the mesh fitting. If 0, the convex-hull algorithm is used. It is suitable for convex bodies or if the intention is to enclose the `x`, `y` and `z` point set into a convex hull. The 'alphahull' property is a number and may be specified as: - An int or float Returns ------- int|float """ return self["alphahull"] @alphahull.setter def alphahull(self, val): self["alphahull"] = val # autocolorscale # -------------- @property def autocolorscale(self): """ 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. The 'autocolorscale' property must be specified as a bool (either True, or False) Returns ------- bool """ return self["autocolorscale"] @autocolorscale.setter def autocolorscale(self, val): self["autocolorscale"] = val # cauto # ----- @property def cauto(self): """ Determines whether or not the color domain is computed with respect to the input data (here `intensity`) or the bounds set in `cmin` and `cmax` Defaults to `false` when `cmin` and `cmax` are set by the user. The 'cauto' property must be specified as a bool (either True, or False) Returns ------- bool """ return self["cauto"] @cauto.setter def cauto(self, val): self["cauto"] = val # cmax # ---- @property def cmax(self): """ Sets the upper bound of the color domain. Value should have the same units as `intensity` and if set, `cmin` must be set as well. The 'cmax' property is a number and may be specified as: - An int or float Returns ------- int|float """ return self["cmax"] @cmax.setter def cmax(self, val): self["cmax"] = val # cmid # ---- @property def cmid(self): """ 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 `intensity`. Has no effect when `cauto` is `false`. The 'cmid' property is a number and may be specified as: - An int or float Returns ------- int|float """ return self["cmid"] @cmid.setter def cmid(self, val): self["cmid"] = val # cmin # ---- @property def cmin(self): """ Sets the lower bound of the color domain. Value should have the same units as `intensity` and if set, `cmax` must be set as well. The 'cmin' property is a number and may be specified as: - An int or float Returns ------- int|float """ return self["cmin"] @cmin.setter def cmin(self, val): self["cmin"] = val # color # ----- @property def color(self): """ Sets the color of the whole mesh The 'color' property is a color and may be specified as: - A hex string (e.g. '#ff0000') - An rgb/rgba string (e.g. 'rgb(255,0,0)') - An hsl/hsla string (e.g. 'hsl(0,100%,50%)') - An hsv/hsva string (e.g. 'hsv(0,100%,100%)') - A named CSS color: aliceblue, antiquewhite, aqua, aquamarine, azure, beige, bisque, black, blanchedalmond, blue, blueviolet, brown, burlywood, cadetblue, chartreuse, chocolate, coral, cornflowerblue, cornsilk, crimson, cyan, darkblue, darkcyan, darkgoldenrod, darkgray, darkgrey, darkgreen, darkkhaki, darkmagenta, darkolivegreen, darkorange, darkorchid, darkred, darksalmon, darkseagreen, darkslateblue, darkslategray, darkslategrey, darkturquoise, darkviolet, deeppink, deepskyblue, dimgray, dimgrey, dodgerblue, firebrick, floralwhite, forestgreen, fuchsia, gainsboro, ghostwhite, gold, goldenrod, gray, grey, green, greenyellow, honeydew, hotpink, indianred, indigo, ivory, khaki, lavender, lavenderblush, lawngreen, lemonchiffon, lightblue, lightcoral, lightcyan, lightgoldenrodyellow, lightgray, lightgrey, lightgreen, lightpink, lightsalmon, lightseagreen, lightskyblue, lightslategray, lightslategrey, lightsteelblue, lightyellow, lime, limegreen, linen, magenta, maroon, mediumaquamarine, mediumblue, mediumorchid, mediumpurple, mediumseagreen, mediumslateblue, mediumspringgreen, mediumturquoise, mediumvioletred, midnightblue, mintcream, mistyrose, moccasin, navajowhite, navy, oldlace, olive, olivedrab, orange, orangered, orchid, palegoldenrod, palegreen, paleturquoise, palevioletred, papayawhip, peachpuff, peru, pink, plum, powderblue, purple, red, rosybrown, royalblue, rebeccapurple, saddlebrown, salmon, sandybrown, seagreen, seashell, sienna, silver, skyblue, slateblue, slategray, slategrey, snow, springgreen, steelblue, tan, teal, thistle, tomato, turquoise, violet, wheat, white, whitesmoke, yellow, yellowgreen - A number that will be interpreted as a color according to mesh3d.colorscale Returns ------- str """ return self["color"] @color.setter def color(self, val): self["color"] = val # coloraxis # --------- @property def coloraxis(self): """ 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. The 'coloraxis' property is an identifier of a particular subplot, of type 'coloraxis', that may be specified as the string 'coloraxis' optionally followed by an integer >= 1 (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.) Returns ------- str """ return self["coloraxis"] @coloraxis.setter def coloraxis(self, val): self["coloraxis"] = val # colorbar # -------- @property def colorbar(self): """ The 'colorbar' property is an instance of ColorBar that may be specified as: - An instance of :class:`plotly.graph_objs.mesh3d.ColorBar` - A dict of string/value properties that will be passed to the ColorBar constructor Supported dict properties: bgcolor Sets the color of padded area. bordercolor Sets the axis line color. borderwidth Sets the width (in px) or the border enclosing this color bar. dtick Sets the step in-between ticks on this axis. Use with `tick0`. Must be a positive number, or special strings available to "log" and "date" axes. If the axis `type` is "log", then ticks are set every 10^(n*dtick) where n is the tick number. For example, to set a tick mark at 1, 10, 100, 1000, ... set dtick to 1. To set tick marks at 1, 100, 10000, ... set dtick to 2. To set tick marks at 1, 5, 25, 125, 625, 3125, ... set dtick to log_10(5), or 0.69897000433. "log" has several special values; "L", where `f` is a positive number, gives ticks linearly spaced in value (but not position). For example `tick0` = 0.1, `dtick` = "L0.5" will put ticks at 0.1, 0.6, 1.1, 1.6 etc. To show powers of 10 plus small digits between, use "D1" (all digits) or "D2" (only 2 and 5). `tick0` is ignored for "D1" and "D2". If the axis `type` is "date", then you must convert the time to milliseconds. For example, to set the interval between ticks to one day, set `dtick` to 86400000.0. "date" also has special values "M" gives ticks spaced by a number of months. `n` must be a positive integer. To set ticks on the 15th of every third month, set `tick0` to "2000-01-15" and `dtick` to "M3". To set ticks every 4 years, set `dtick` to "M48" exponentformat Determines a formatting rule for the tick exponents. For example, consider the number 1,000,000,000. If "none", it appears as 1,000,000,000. If "e", 1e+9. If "E", 1E+9. If "power", 1x10^9 (with 9 in a super script). If "SI", 1G. If "B", 1B. labelalias Replacement text for specific tick or hover labels. For example using {US: 'USA', CA: 'Canada'} changes US to USA and CA to Canada. The labels we would have shown must match the keys exactly, after adding any tickprefix or ticksuffix. For negative numbers the minus sign symbol used (U+2212) is wider than the regular ascii dash. That means you need to use −1 instead of -1. labelalias can be used with any axis type, and both keys (if needed) and values (if desired) can include html-like tags or MathJax. len Sets the length of the color bar This measure excludes the padding of both ends. That is, the color bar length is this length minus the padding on both ends. lenmode Determines whether this color bar's length (i.e. the measure in the color variation direction) is set in units of plot "fraction" or in *pixels. Use `len` to set the value. minexponent Hide SI prefix for 10^n if |n| is below this number. This only has an effect when `tickformat` is "SI" or "B". nticks Specifies the maximum number of ticks for the particular axis. The actual number of ticks will be chosen automatically to be less than or equal to `nticks`. Has an effect only if `tickmode` is set to "auto". orientation Sets the orientation of the colorbar. outlinecolor Sets the axis line color. outlinewidth Sets the width (in px) of the axis line. separatethousands If "true", even 4-digit integers are separated showexponent If "all", all exponents are shown besides their significands. If "first", only the exponent of the first tick is shown. If "last", only the exponent of the last tick is shown. If "none", no exponents appear. showticklabels Determines whether or not the tick labels are drawn. showtickprefix If "all", all tick labels are displayed with a prefix. If "first", only the first tick is displayed with a prefix. If "last", only the last tick is displayed with a suffix. If "none", tick prefixes are hidden. showticksuffix Same as `showtickprefix` but for tick suffixes. thickness Sets the thickness of the color bar This measure excludes the size of the padding, ticks and labels. thicknessmode Determines whether this color bar's thickness (i.e. the measure in the constant color direction) is set in units of plot "fraction" or in "pixels". Use `thickness` to set the value. tick0 Sets the placement of the first tick on this axis. Use with `dtick`. If the axis `type` is "log", then you must take the log of your starting tick (e.g. to set the starting tick to 100, set the `tick0` to 2) except when `dtick`=*L* (see `dtick` for more info). If the axis `type` is "date", it should be a date string, like date data. If the axis `type` is "category", it should be a number, using the scale where each category is assigned a serial number from zero in the order it appears. tickangle Sets the angle of the tick labels with respect to the horizontal. For example, a `tickangle` of -90 draws the tick labels vertically. tickcolor Sets the tick color. tickfont Sets the color bar's tick label font tickformat Sets the tick label formatting rule using d3 formatting mini-languages which are very similar to those in Python. For numbers, see: h ttps://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" tickformatstops A tuple of :class:`plotly.graph_objects.mesh3d. colorbar.Tickformatstop` instances or dicts with compatible properties tickformatstopdefaults When used in a template (as layout.template.dat a.mesh3d.colorbar.tickformatstopdefaults), sets the default property values to use for elements of mesh3d.colorbar.tickformatstops ticklabeloverflow Determines how we handle tick labels that would overflow either the graph div or the domain of the axis. The default value for inside tick labels is *hide past domain*. In other cases the default is *hide past div*. ticklabelposition Determines where tick labels are drawn relative to the ticks. Left and right options are used when `orientation` is "h", top and bottom when `orientation` is "v". ticklabelstep Sets the spacing between tick labels as compared to the spacing between ticks. A value of 1 (default) means each tick gets a label. A value of 2 means shows every 2nd label. A larger value n means only every nth tick is labeled. `tick0` determines which labels are shown. Not implemented for axes with `type` "log" or "multicategory", or when `tickmode` is "array". ticklen Sets the tick length (in px). tickmode Sets the tick mode for this axis. If "auto", the number of ticks is set via `nticks`. If "linear", the placement of the ticks is determined by a starting position `tick0` and a tick step `dtick` ("linear" is the default value if `tick0` and `dtick` are provided). If "array", the placement of the ticks is set via `tickvals` and the tick text is `ticktext`. ("array" is the default value if `tickvals` is provided). tickprefix Sets a tick label prefix. ticks Determines whether ticks are drawn or not. If "", this axis' ticks are not drawn. If "outside" ("inside"), this axis' are drawn outside (inside) the axis lines. ticksuffix Sets a tick label suffix. ticktext Sets the text displayed at the ticks position via `tickvals`. Only has an effect if `tickmode` is set to "array". Used with `tickvals`. ticktextsrc Sets the source reference on Chart Studio Cloud for `ticktext`. tickvals Sets the values at which ticks on this axis appear. Only has an effect if `tickmode` is set to "array". Used with `ticktext`. tickvalssrc Sets the source reference on Chart Studio Cloud for `tickvals`. tickwidth Sets the tick width (in px). title :class:`plotly.graph_objects.mesh3d.colorbar.Ti tle` instance or dict with compatible properties titlefont Deprecated: Please use mesh3d.colorbar.title.font instead. Sets this color bar's title font. Note that the title's font used to be set by the now deprecated `titlefont` attribute. titleside Deprecated: Please use mesh3d.colorbar.title.side instead. Determines the location of color bar's title with respect to the color bar. Defaults to "top" when `orientation` if "v" and defaults to "right" when `orientation` if "h". Note that the title's location used to be set by the now deprecated `titleside` attribute. x Sets the x position with respect to `xref` of the color bar (in plot fraction). When `xref` is "paper", defaults to 1.02 when `orientation` is "v" and 0.5 when `orientation` is "h". When `xref` is "container", defaults to 1 when `orientation` is "v" and 0.5 when `orientation` is "h". Must be between 0 and 1 if `xref` is "container" and between "-2" and 3 if `xref` is "paper". xanchor Sets this color bar's horizontal position anchor. This anchor binds the `x` position to the "left", "center" or "right" of the color bar. Defaults to "left" when `orientation` is "v" and "center" when `orientation` is "h". xpad Sets the amount of padding (in px) along the x direction. xref Sets the container `x` refers to. "container" spans the entire `width` of the plot. "paper" refers to the width of the plotting area only. y Sets the y position with respect to `yref` of the color bar (in plot fraction). When `yref` is "paper", defaults to 0.5 when `orientation` is "v" and 1.02 when `orientation` is "h". When `yref` is "container", defaults to 0.5 when `orientation` is "v" and 1 when `orientation` is "h". Must be between 0 and 1 if `yref` is "container" and between "-2" and 3 if `yref` is "paper". yanchor Sets this color bar's vertical position anchor This anchor binds the `y` position to the "top", "middle" or "bottom" of the color bar. Defaults to "middle" when `orientation` is "v" and "bottom" when `orientation` is "h". ypad Sets the amount of padding (in px) along the y direction. yref Sets the container `y` refers to. "container" spans the entire `height` of the plot. "paper" refers to the height of the plotting area only. Returns ------- plotly.graph_objs.mesh3d.ColorBar """ return self["colorbar"] @colorbar.setter def colorbar(self, val): self["colorbar"] = val # colorscale # ---------- @property def colorscale(self): """ 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,Cividis,Earth,Electric, Greens,Greys,Hot,Jet,Picnic,Portland,Rainbow,RdBu,Reds,Viridis, YlGnBu,YlOrRd. The 'colorscale' property is a colorscale and may be specified as: - A list of colors that will be spaced evenly to create the colorscale. Many predefined colorscale lists are included in the sequential, diverging, and cyclical modules in the plotly.colors package. - A list of 2-element lists where the first element is the normalized color level value (starting at 0 and ending at 1), and the second item is a valid color string. (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']]) - One of the following named colorscales: ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance', 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg', 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl', 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric', 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys', 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet', 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges', 'orrd', 'oryel', 'oxy', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg', 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor', 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy', 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral', 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose', 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'turbo', 'twilight', 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd']. Appending '_r' to a named colorscale reverses it. Returns ------- str """ return self["colorscale"] @colorscale.setter def colorscale(self, val): self["colorscale"] = val # contour # ------- @property def contour(self): """ The 'contour' property is an instance of Contour that may be specified as: - An instance of :class:`plotly.graph_objs.mesh3d.Contour` - A dict of string/value properties that will be passed to the Contour constructor Supported dict properties: color Sets the color of the contour lines. show Sets whether or not dynamic contours are shown on hover width Sets the width of the contour lines. Returns ------- plotly.graph_objs.mesh3d.Contour """ return self["contour"] @contour.setter def contour(self, val): self["contour"] = val # customdata # ---------- @property def customdata(self): """ 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 The 'customdata' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray """ return self["customdata"] @customdata.setter def customdata(self, val): self["customdata"] = val # customdatasrc # ------------- @property def customdatasrc(self): """ Sets the source reference on Chart Studio Cloud for `customdata`. The 'customdatasrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["customdatasrc"] @customdatasrc.setter def customdatasrc(self, val): self["customdatasrc"] = val # delaunayaxis # ------------ @property def delaunayaxis(self): """ Sets the Delaunay axis, which is the axis that is perpendicular to the surface of the Delaunay triangulation. It has an effect if `i`, `j`, `k` are not provided and `alphahull` is set to indicate Delaunay triangulation. The 'delaunayaxis' property is an enumeration that may be specified as: - One of the following enumeration values: ['x', 'y', 'z'] Returns ------- Any """ return self["delaunayaxis"] @delaunayaxis.setter def delaunayaxis(self, val): self["delaunayaxis"] = val # facecolor # --------- @property def facecolor(self): """ Sets the color of each face Overrides "color" and "vertexcolor". The 'facecolor' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray """ return self["facecolor"] @facecolor.setter def facecolor(self, val): self["facecolor"] = val # facecolorsrc # ------------ @property def facecolorsrc(self): """ Sets the source reference on Chart Studio Cloud for `facecolor`. The 'facecolorsrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["facecolorsrc"] @facecolorsrc.setter def facecolorsrc(self, val): self["facecolorsrc"] = val # flatshading # ----------- @property def flatshading(self): """ Determines whether or not normal smoothing is applied to the meshes, creating meshes with an angular, low-poly look via flat reflections. The 'flatshading' property must be specified as a bool (either True, or False) Returns ------- bool """ return self["flatshading"] @flatshading.setter def flatshading(self, val): self["flatshading"] = val # hoverinfo # --------- @property def hoverinfo(self): """ 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. The 'hoverinfo' property is a flaglist and may be specified as a string containing: - Any combination of ['x', 'y', 'z', 'text', 'name'] joined with '+' characters (e.g. 'x+y') OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip') - A list or array of the above Returns ------- Any|numpy.ndarray """ return self["hoverinfo"] @hoverinfo.setter def hoverinfo(self, val): self["hoverinfo"] = val # hoverinfosrc # ------------ @property def hoverinfosrc(self): """ Sets the source reference on Chart Studio Cloud for `hoverinfo`. The 'hoverinfosrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["hoverinfosrc"] @hoverinfosrc.setter def hoverinfosrc(self, val): self["hoverinfosrc"] = val # hoverlabel # ---------- @property def hoverlabel(self): """ The 'hoverlabel' property is an instance of Hoverlabel that may be specified as: - An instance of :class:`plotly.graph_objs.mesh3d.Hoverlabel` - A dict of string/value properties that will be passed to the Hoverlabel constructor Supported dict properties: align Sets the horizontal alignment of the text content within hover label box. Has an effect only if the hover label text spans more two or more lines alignsrc Sets the source reference on Chart Studio Cloud for `align`. bgcolor Sets the background color of the hover labels for this trace bgcolorsrc Sets the source reference on Chart Studio Cloud for `bgcolor`. bordercolor Sets the border color of the hover labels for this trace. bordercolorsrc Sets the source reference on Chart Studio Cloud for `bordercolor`. font Sets the font used in hover labels. namelength Sets the default length (in number of characters) of the trace name in the hover labels for all traces. -1 shows the whole name regardless of length. 0-3 shows the first 0-3 characters, and an integer >3 will show the whole name if it is less than that many characters, but if it is longer, will truncate to `namelength - 3` characters and add an ellipsis. namelengthsrc Sets the source reference on Chart Studio Cloud for `namelength`. Returns ------- plotly.graph_objs.mesh3d.Hoverlabel """ return self["hoverlabel"] @hoverlabel.setter def hoverlabel(self, val): self["hoverlabel"] = val # hovertemplate # ------------- @property def hovertemplate(self): """ 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. 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. Anything contained in tag `` is displayed in the secondary box, for example "{fullData.name}". To hide the secondary box completely, use an empty tag ``. The 'hovertemplate' property is a string and must be specified as: - A string - A number that will be converted to a string - A tuple, list, or one-dimensional numpy array of the above Returns ------- str|numpy.ndarray """ return self["hovertemplate"] @hovertemplate.setter def hovertemplate(self, val): self["hovertemplate"] = val # hovertemplatesrc # ---------------- @property def hovertemplatesrc(self): """ Sets the source reference on Chart Studio Cloud for `hovertemplate`. The 'hovertemplatesrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["hovertemplatesrc"] @hovertemplatesrc.setter def hovertemplatesrc(self, val): self["hovertemplatesrc"] = val # hovertext # --------- @property def hovertext(self): """ Same as `text`. The 'hovertext' property is a string and must be specified as: - A string - A number that will be converted to a string - A tuple, list, or one-dimensional numpy array of the above Returns ------- str|numpy.ndarray """ return self["hovertext"] @hovertext.setter def hovertext(self, val): self["hovertext"] = val # hovertextsrc # ------------ @property def hovertextsrc(self): """ Sets the source reference on Chart Studio Cloud for `hovertext`. The 'hovertextsrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["hovertextsrc"] @hovertextsrc.setter def hovertextsrc(self, val): self["hovertextsrc"] = val # i # - @property def i(self): """ A vector of vertex indices, i.e. integer values between 0 and the length of the vertex vectors, representing the "first" vertex of a triangle. For example, `{i[m], j[m], k[m]}` together represent face m (triangle m) in the mesh, where `i[m] = n` points to the triplet `{x[n], y[n], z[n]}` in the vertex arrays. Therefore, each element in `i` represents a point in space, which is the first vertex of a triangle. The 'i' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray """ return self["i"] @i.setter def i(self, val): self["i"] = val # ids # --- @property def ids(self): """ 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. The 'ids' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray """ return self["ids"] @ids.setter def ids(self, val): self["ids"] = val # idssrc # ------ @property def idssrc(self): """ Sets the source reference on Chart Studio Cloud for `ids`. The 'idssrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["idssrc"] @idssrc.setter def idssrc(self, val): self["idssrc"] = val # intensity # --------- @property def intensity(self): """ Sets the intensity values for vertices or cells as defined by `intensitymode`. It can be used for plotting fields on meshes. The 'intensity' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray """ return self["intensity"] @intensity.setter def intensity(self, val): self["intensity"] = val # intensitymode # ------------- @property def intensitymode(self): """ Determines the source of `intensity` values. The 'intensitymode' property is an enumeration that may be specified as: - One of the following enumeration values: ['vertex', 'cell'] Returns ------- Any """ return self["intensitymode"] @intensitymode.setter def intensitymode(self, val): self["intensitymode"] = val # intensitysrc # ------------ @property def intensitysrc(self): """ Sets the source reference on Chart Studio Cloud for `intensity`. The 'intensitysrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["intensitysrc"] @intensitysrc.setter def intensitysrc(self, val): self["intensitysrc"] = val # isrc # ---- @property def isrc(self): """ Sets the source reference on Chart Studio Cloud for `i`. The 'isrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["isrc"] @isrc.setter def isrc(self, val): self["isrc"] = val # j # - @property def j(self): """ A vector of vertex indices, i.e. integer values between 0 and the length of the vertex vectors, representing the "second" vertex of a triangle. For example, `{i[m], j[m], k[m]}` together represent face m (triangle m) in the mesh, where `j[m] = n` points to the triplet `{x[n], y[n], z[n]}` in the vertex arrays. Therefore, each element in `j` represents a point in space, which is the second vertex of a triangle. The 'j' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray """ return self["j"] @j.setter def j(self, val): self["j"] = val # jsrc # ---- @property def jsrc(self): """ Sets the source reference on Chart Studio Cloud for `j`. The 'jsrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["jsrc"] @jsrc.setter def jsrc(self, val): self["jsrc"] = val # k # - @property def k(self): """ A vector of vertex indices, i.e. integer values between 0 and the length of the vertex vectors, representing the "third" vertex of a triangle. For example, `{i[m], j[m], k[m]}` together represent face m (triangle m) in the mesh, where `k[m] = n` points to the triplet `{x[n], y[n], z[n]}` in the vertex arrays. Therefore, each element in `k` represents a point in space, which is the third vertex of a triangle. The 'k' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray """ return self["k"] @k.setter def k(self, val): self["k"] = val # ksrc # ---- @property def ksrc(self): """ Sets the source reference on Chart Studio Cloud for `k`. The 'ksrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["ksrc"] @ksrc.setter def ksrc(self, val): self["ksrc"] = val # legend # ------ @property def legend(self): """ 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. The 'legend' property is an identifier of a particular subplot, of type 'legend', that may be specified as the string 'legend' optionally followed by an integer >= 1 (e.g. 'legend', 'legend1', 'legend2', 'legend3', etc.) Returns ------- str """ return self["legend"] @legend.setter def legend(self, val): self["legend"] = val # legendgroup # ----------- @property def legendgroup(self): """ 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. The 'legendgroup' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self["legendgroup"] @legendgroup.setter def legendgroup(self, val): self["legendgroup"] = val # legendgrouptitle # ---------------- @property def legendgrouptitle(self): """ The 'legendgrouptitle' property is an instance of Legendgrouptitle that may be specified as: - An instance of :class:`plotly.graph_objs.mesh3d.Legendgrouptitle` - A dict of string/value properties that will be passed to the Legendgrouptitle constructor Supported dict properties: font Sets this legend group's title font. text Sets the title of the legend group. Returns ------- plotly.graph_objs.mesh3d.Legendgrouptitle """ return self["legendgrouptitle"] @legendgrouptitle.setter def legendgrouptitle(self, val): self["legendgrouptitle"] = val # legendrank # ---------- @property def legendrank(self): """ 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. The 'legendrank' property is a number and may be specified as: - An int or float Returns ------- int|float """ return self["legendrank"] @legendrank.setter def legendrank(self, val): self["legendrank"] = val # legendwidth # ----------- @property def legendwidth(self): """ Sets the width (in px or fraction) of the legend for this trace. The 'legendwidth' property is a number and may be specified as: - An int or float in the interval [0, inf] Returns ------- int|float """ return self["legendwidth"] @legendwidth.setter def legendwidth(self, val): self["legendwidth"] = val # lighting # -------- @property def lighting(self): """ The 'lighting' property is an instance of Lighting that may be specified as: - An instance of :class:`plotly.graph_objs.mesh3d.Lighting` - A dict of string/value properties that will be passed to the Lighting constructor Supported dict properties: ambient Ambient light increases overall color visibility but can wash out the image. diffuse Represents the extent that incident rays are reflected in a range of angles. facenormalsepsilon Epsilon for face normals calculation avoids math issues arising from degenerate geometry. fresnel Represents the reflectance as a dependency of the viewing angle; e.g. paper is reflective when viewing it from the edge of the paper (almost 90 degrees), causing shine. roughness Alters specular reflection; the rougher the surface, the wider and less contrasty the shine. specular Represents the level that incident rays are reflected in a single direction, causing shine. vertexnormalsepsilon Epsilon for vertex normals calculation avoids math issues arising from degenerate geometry. Returns ------- plotly.graph_objs.mesh3d.Lighting """ return self["lighting"] @lighting.setter def lighting(self, val): self["lighting"] = val # lightposition # ------------- @property def lightposition(self): """ The 'lightposition' property is an instance of Lightposition that may be specified as: - An instance of :class:`plotly.graph_objs.mesh3d.Lightposition` - A dict of string/value properties that will be passed to the Lightposition constructor Supported dict properties: x Numeric vector, representing the X coordinate for each vertex. y Numeric vector, representing the Y coordinate for each vertex. z Numeric vector, representing the Z coordinate for each vertex. Returns ------- plotly.graph_objs.mesh3d.Lightposition """ return self["lightposition"] @lightposition.setter def lightposition(self, val): self["lightposition"] = val # meta # ---- @property def meta(self): """ 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. The 'meta' property accepts values of any type Returns ------- Any|numpy.ndarray """ return self["meta"] @meta.setter def meta(self, val): self["meta"] = val # metasrc # ------- @property def metasrc(self): """ Sets the source reference on Chart Studio Cloud for `meta`. The 'metasrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["metasrc"] @metasrc.setter def metasrc(self, val): self["metasrc"] = val # name # ---- @property def name(self): """ Sets the trace name. The trace name appears as the legend item and on hover. The 'name' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self["name"] @name.setter def name(self, val): self["name"] = val # opacity # ------- @property def opacity(self): """ 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. The 'opacity' property is a number and may be specified as: - An int or float in the interval [0, 1] Returns ------- int|float """ return self["opacity"] @opacity.setter def opacity(self, val): self["opacity"] = val # reversescale # ------------ @property def reversescale(self): """ 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. The 'reversescale' property must be specified as a bool (either True, or False) Returns ------- bool """ return self["reversescale"] @reversescale.setter def reversescale(self, val): self["reversescale"] = val # scene # ----- @property def scene(self): """ 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. The 'scene' property is an identifier of a particular subplot, of type 'scene', that may be specified as the string 'scene' optionally followed by an integer >= 1 (e.g. 'scene', 'scene1', 'scene2', 'scene3', etc.) Returns ------- str """ return self["scene"] @scene.setter def scene(self, val): self["scene"] = val # showlegend # ---------- @property def showlegend(self): """ Determines whether or not an item corresponding to this trace is shown in the legend. The 'showlegend' property must be specified as a bool (either True, or False) Returns ------- bool """ return self["showlegend"] @showlegend.setter def showlegend(self, val): self["showlegend"] = val # showscale # --------- @property def showscale(self): """ Determines whether or not a colorbar is displayed for this trace. The 'showscale' property must be specified as a bool (either True, or False) Returns ------- bool """ return self["showscale"] @showscale.setter def showscale(self, val): self["showscale"] = val # stream # ------ @property def stream(self): """ The 'stream' property is an instance of Stream that may be specified as: - An instance of :class:`plotly.graph_objs.mesh3d.Stream` - A dict of string/value properties that will be passed to the Stream constructor Supported dict properties: maxpoints Sets the maximum number of points to keep on the plots from an incoming stream. If `maxpoints` is set to 50, only the newest 50 points will be displayed on the plot. token The stream id number links a data trace on a plot with a stream. See https://chart- studio.plotly.com/settings for more details. Returns ------- plotly.graph_objs.mesh3d.Stream """ return self["stream"] @stream.setter def stream(self, val): self["stream"] = val # text # ---- @property def text(self): """ 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. The 'text' property is a string and must be specified as: - A string - A number that will be converted to a string - A tuple, list, or one-dimensional numpy array of the above Returns ------- str|numpy.ndarray """ return self["text"] @text.setter def text(self, val): self["text"] = val # textsrc # ------- @property def textsrc(self): """ Sets the source reference on Chart Studio Cloud for `text`. The 'textsrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["textsrc"] @textsrc.setter def textsrc(self, val): self["textsrc"] = val # uid # --- @property def uid(self): """ Assign an id to this trace, Use this to provide object constancy between traces during animations and transitions. The 'uid' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self["uid"] @uid.setter def uid(self, val): self["uid"] = val # uirevision # ---------- @property def uirevision(self): """ 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. The 'uirevision' property accepts values of any type Returns ------- Any """ return self["uirevision"] @uirevision.setter def uirevision(self, val): self["uirevision"] = val # vertexcolor # ----------- @property def vertexcolor(self): """ Sets the color of each vertex Overrides "color". While Red, green and blue colors are in the range of 0 and 255; in the case of having vertex color data in RGBA format, the alpha color should be normalized to be between 0 and 1. The 'vertexcolor' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray """ return self["vertexcolor"] @vertexcolor.setter def vertexcolor(self, val): self["vertexcolor"] = val # vertexcolorsrc # -------------- @property def vertexcolorsrc(self): """ Sets the source reference on Chart Studio Cloud for `vertexcolor`. The 'vertexcolorsrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["vertexcolorsrc"] @vertexcolorsrc.setter def vertexcolorsrc(self, val): self["vertexcolorsrc"] = val # visible # ------- @property def visible(self): """ 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). The 'visible' property is an enumeration that may be specified as: - One of the following enumeration values: [True, False, 'legendonly'] Returns ------- Any """ return self["visible"] @visible.setter def visible(self, val): self["visible"] = val # x # - @property def x(self): """ Sets the X coordinates of the vertices. The nth element of vectors `x`, `y` and `z` jointly represent the X, Y and Z coordinates of the nth vertex. The 'x' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray """ return self["x"] @x.setter def x(self, val): self["x"] = val # xcalendar # --------- @property def xcalendar(self): """ Sets the calendar system to use with `x` date data. The 'xcalendar' property is an enumeration that may be specified as: - One of the following enumeration values: ['chinese', 'coptic', 'discworld', 'ethiopian', 'gregorian', 'hebrew', 'islamic', 'jalali', 'julian', 'mayan', 'nanakshahi', 'nepali', 'persian', 'taiwan', 'thai', 'ummalqura'] Returns ------- Any """ return self["xcalendar"] @xcalendar.setter def xcalendar(self, val): self["xcalendar"] = val # xhoverformat # ------------ @property def xhoverformat(self): """ 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`. The 'xhoverformat' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self["xhoverformat"] @xhoverformat.setter def xhoverformat(self, val): self["xhoverformat"] = val # xsrc # ---- @property def xsrc(self): """ Sets the source reference on Chart Studio Cloud for `x`. The 'xsrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["xsrc"] @xsrc.setter def xsrc(self, val): self["xsrc"] = val # y # - @property def y(self): """ Sets the Y coordinates of the vertices. The nth element of vectors `x`, `y` and `z` jointly represent the X, Y and Z coordinates of the nth vertex. The 'y' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray """ return self["y"] @y.setter def y(self, val): self["y"] = val # ycalendar # --------- @property def ycalendar(self): """ Sets the calendar system to use with `y` date data. The 'ycalendar' property is an enumeration that may be specified as: - One of the following enumeration values: ['chinese', 'coptic', 'discworld', 'ethiopian', 'gregorian', 'hebrew', 'islamic', 'jalali', 'julian', 'mayan', 'nanakshahi', 'nepali', 'persian', 'taiwan', 'thai', 'ummalqura'] Returns ------- Any """ return self["ycalendar"] @ycalendar.setter def ycalendar(self, val): self["ycalendar"] = val # yhoverformat # ------------ @property def yhoverformat(self): """ 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`. The 'yhoverformat' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self["yhoverformat"] @yhoverformat.setter def yhoverformat(self, val): self["yhoverformat"] = val # ysrc # ---- @property def ysrc(self): """ Sets the source reference on Chart Studio Cloud for `y`. The 'ysrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["ysrc"] @ysrc.setter def ysrc(self, val): self["ysrc"] = val # z # - @property def z(self): """ Sets the Z coordinates of the vertices. The nth element of vectors `x`, `y` and `z` jointly represent the X, Y and Z coordinates of the nth vertex. The 'z' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray """ return self["z"] @z.setter def z(self, val): self["z"] = val # zcalendar # --------- @property def zcalendar(self): """ Sets the calendar system to use with `z` date data. The 'zcalendar' property is an enumeration that may be specified as: - One of the following enumeration values: ['chinese', 'coptic', 'discworld', 'ethiopian', 'gregorian', 'hebrew', 'islamic', 'jalali', 'julian', 'mayan', 'nanakshahi', 'nepali', 'persian', 'taiwan', 'thai', 'ummalqura'] Returns ------- Any """ return self["zcalendar"] @zcalendar.setter def zcalendar(self, val): self["zcalendar"] = val # zhoverformat # ------------ @property def zhoverformat(self): """ 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`. The 'zhoverformat' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self["zhoverformat"] @zhoverformat.setter def zhoverformat(self, val): self["zhoverformat"] = val # zsrc # ---- @property def zsrc(self): """ Sets the source reference on Chart Studio Cloud for `z`. The 'zsrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["zsrc"] @zsrc.setter def zsrc(self, val): self["zsrc"] = val # type # ---- @property def type(self): return self._props["type"] # Self properties description # --------------------------- @property def _prop_descriptions(self): return """\ alphahull Determines how the mesh surface triangles are derived from the set of vertices (points) represented by the `x`, `y` and `z` arrays, if the `i`, `j`, `k` arrays are not supplied. For general use of `mesh3d` it is preferred that `i`, `j`, `k` are supplied. If "-1", Delaunay triangulation is used, which is mainly suitable if the mesh is a single, more or less layer surface that is perpendicular to `delaunayaxis`. In case the `delaunayaxis` intersects the mesh surface at more than one point it will result triangles that are very long in the dimension of `delaunayaxis`. If ">0", the alpha-shape algorithm is used. In this case, the positive `alphahull` value signals the use of the alpha-shape algorithm, _and_ its value acts as the parameter for the mesh fitting. If 0, the convex-hull algorithm is used. It is suitable for convex bodies or if the intention is to enclose the `x`, `y` and `z` point set into a convex hull. 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. cauto Determines whether or not the color domain is computed with respect to the input data (here `intensity`) 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 `intensity` 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 `intensity`. Has no effect when `cauto` is `false`. cmin Sets the lower bound of the color domain. Value should have the same units as `intensity` and if set, `cmax` must be set as well. color Sets the color of the whole mesh 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 :class:`plotly.graph_objects.mesh3d.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 :class:`plotly.graph_objects.mesh3d.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`. delaunayaxis Sets the Delaunay axis, which is the axis that is perpendicular to the surface of the Delaunay triangulation. It has an effect if `i`, `j`, `k` are not provided and `alphahull` is set to indicate Delaunay triangulation. facecolor Sets the color of each face Overrides "color" and "vertexcolor". facecolorsrc Sets the source reference on Chart Studio Cloud for `facecolor`. 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 :class:`plotly.graph_objects.mesh3d.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. 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. Anything contained in tag `` is displayed in the secondary box, for example "{fullData.name}". To hide the secondary box completely, use an empty tag ``. 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`. i A vector of vertex indices, i.e. integer values between 0 and the length of the vertex vectors, representing the "first" vertex of a triangle. For example, `{i[m], j[m], k[m]}` together represent face m (triangle m) in the mesh, where `i[m] = n` points to the triplet `{x[n], y[n], z[n]}` in the vertex arrays. Therefore, each element in `i` represents a point in space, which is the first vertex of a triangle. 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`. intensity Sets the intensity values for vertices or cells as defined by `intensitymode`. It can be used for plotting fields on meshes. intensitymode Determines the source of `intensity` values. intensitysrc Sets the source reference on Chart Studio Cloud for `intensity`. isrc Sets the source reference on Chart Studio Cloud for `i`. j A vector of vertex indices, i.e. integer values between 0 and the length of the vertex vectors, representing the "second" vertex of a triangle. For example, `{i[m], j[m], k[m]}` together represent face m (triangle m) in the mesh, where `j[m] = n` points to the triplet `{x[n], y[n], z[n]}` in the vertex arrays. Therefore, each element in `j` represents a point in space, which is the second vertex of a triangle. jsrc Sets the source reference on Chart Studio Cloud for `j`. k A vector of vertex indices, i.e. integer values between 0 and the length of the vertex vectors, representing the "third" vertex of a triangle. For example, `{i[m], j[m], k[m]}` together represent face m (triangle m) in the mesh, where `k[m] = n` points to the triplet `{x[n], y[n], z[n]}` in the vertex arrays. Therefore, each element in `k` represents a point in space, which is the third vertex of a triangle. ksrc Sets the source reference on Chart Studio Cloud for `k`. 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 :class:`plotly.graph_objects.mesh3d.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 :class:`plotly.graph_objects.mesh3d.Lighting` instance or dict with compatible properties lightposition :class:`plotly.graph_objects.mesh3d.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. 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. stream :class:`plotly.graph_objects.mesh3d.Stream` 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. vertexcolor Sets the color of each vertex Overrides "color". While Red, green and blue colors are in the range of 0 and 255; in the case of having vertex color data in RGBA format, the alpha color should be normalized to be between 0 and 1. vertexcolorsrc Sets the source reference on Chart Studio Cloud for `vertexcolor`. 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. The nth element of vectors `x`, `y` and `z` jointly represent the X, Y and Z coordinates of the nth vertex. xcalendar Sets the calendar system to use with `x` date data. 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. The nth element of vectors `x`, `y` and `z` jointly represent the X, Y and Z coordinates of the nth vertex. ycalendar Sets the calendar system to use with `y` date data. 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. The nth element of vectors `x`, `y` and `z` jointly represent the X, Y and Z coordinates of the nth vertex. zcalendar Sets the calendar system to use with `z` date data. 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`. """ def __init__( self, arg=None, alphahull=None, autocolorscale=None, cauto=None, cmax=None, cmid=None, cmin=None, color=None, coloraxis=None, colorbar=None, colorscale=None, contour=None, customdata=None, customdatasrc=None, delaunayaxis=None, facecolor=None, facecolorsrc=None, flatshading=None, hoverinfo=None, hoverinfosrc=None, hoverlabel=None, hovertemplate=None, hovertemplatesrc=None, hovertext=None, hovertextsrc=None, i=None, ids=None, idssrc=None, intensity=None, intensitymode=None, intensitysrc=None, isrc=None, j=None, jsrc=None, k=None, ksrc=None, legend=None, legendgroup=None, legendgrouptitle=None, legendrank=None, legendwidth=None, lighting=None, lightposition=None, meta=None, metasrc=None, name=None, opacity=None, reversescale=None, scene=None, showlegend=None, showscale=None, stream=None, text=None, textsrc=None, uid=None, uirevision=None, vertexcolor=None, vertexcolorsrc=None, visible=None, x=None, xcalendar=None, xhoverformat=None, xsrc=None, y=None, ycalendar=None, yhoverformat=None, ysrc=None, z=None, zcalendar=None, zhoverformat=None, zsrc=None, **kwargs, ): """ Construct a new Mesh3d object Draws sets of triangles with coordinates given by three 1-dimensional arrays in `x`, `y`, `z` and (1) a sets of `i`, `j`, `k` indices (2) Delaunay triangulation or (3) the Alpha- shape algorithm or (4) the Convex-hull algorithm Parameters ---------- arg dict of properties compatible with this constructor or an instance of :class:`plotly.graph_objs.Mesh3d` alphahull Determines how the mesh surface triangles are derived from the set of vertices (points) represented by the `x`, `y` and `z` arrays, if the `i`, `j`, `k` arrays are not supplied. For general use of `mesh3d` it is preferred that `i`, `j`, `k` are supplied. If "-1", Delaunay triangulation is used, which is mainly suitable if the mesh is a single, more or less layer surface that is perpendicular to `delaunayaxis`. In case the `delaunayaxis` intersects the mesh surface at more than one point it will result triangles that are very long in the dimension of `delaunayaxis`. If ">0", the alpha-shape algorithm is used. In this case, the positive `alphahull` value signals the use of the alpha-shape algorithm, _and_ its value acts as the parameter for the mesh fitting. If 0, the convex-hull algorithm is used. It is suitable for convex bodies or if the intention is to enclose the `x`, `y` and `z` point set into a convex hull. 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. cauto Determines whether or not the color domain is computed with respect to the input data (here `intensity`) 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 `intensity` 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 `intensity`. Has no effect when `cauto` is `false`. cmin Sets the lower bound of the color domain. Value should have the same units as `intensity` and if set, `cmax` must be set as well. color Sets the color of the whole mesh 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 :class:`plotly.graph_objects.mesh3d.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 :class:`plotly.graph_objects.mesh3d.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`. delaunayaxis Sets the Delaunay axis, which is the axis that is perpendicular to the surface of the Delaunay triangulation. It has an effect if `i`, `j`, `k` are not provided and `alphahull` is set to indicate Delaunay triangulation. facecolor Sets the color of each face Overrides "color" and "vertexcolor". facecolorsrc Sets the source reference on Chart Studio Cloud for `facecolor`. 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 :class:`plotly.graph_objects.mesh3d.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. 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. Anything contained in tag `` is displayed in the secondary box, for example "{fullData.name}". To hide the secondary box completely, use an empty tag ``. 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`. i A vector of vertex indices, i.e. integer values between 0 and the length of the vertex vectors, representing the "first" vertex of a triangle. For example, `{i[m], j[m], k[m]}` together represent face m (triangle m) in the mesh, where `i[m] = n` points to the triplet `{x[n], y[n], z[n]}` in the vertex arrays. Therefore, each element in `i` represents a point in space, which is the first vertex of a triangle. 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`. intensity Sets the intensity values for vertices or cells as defined by `intensitymode`. It can be used for plotting fields on meshes. intensitymode Determines the source of `intensity` values. intensitysrc Sets the source reference on Chart Studio Cloud for `intensity`. isrc Sets the source reference on Chart Studio Cloud for `i`. j A vector of vertex indices, i.e. integer values between 0 and the length of the vertex vectors, representing the "second" vertex of a triangle. For example, `{i[m], j[m], k[m]}` together represent face m (triangle m) in the mesh, where `j[m] = n` points to the triplet `{x[n], y[n], z[n]}` in the vertex arrays. Therefore, each element in `j` represents a point in space, which is the second vertex of a triangle. jsrc Sets the source reference on Chart Studio Cloud for `j`. k A vector of vertex indices, i.e. integer values between 0 and the length of the vertex vectors, representing the "third" vertex of a triangle. For example, `{i[m], j[m], k[m]}` together represent face m (triangle m) in the mesh, where `k[m] = n` points to the triplet `{x[n], y[n], z[n]}` in the vertex arrays. Therefore, each element in `k` represents a point in space, which is the third vertex of a triangle. ksrc Sets the source reference on Chart Studio Cloud for `k`. 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 :class:`plotly.graph_objects.mesh3d.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 :class:`plotly.graph_objects.mesh3d.Lighting` instance or dict with compatible properties lightposition :class:`plotly.graph_objects.mesh3d.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. 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. stream :class:`plotly.graph_objects.mesh3d.Stream` 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. vertexcolor Sets the color of each vertex Overrides "color". While Red, green and blue colors are in the range of 0 and 255; in the case of having vertex color data in RGBA format, the alpha color should be normalized to be between 0 and 1. vertexcolorsrc Sets the source reference on Chart Studio Cloud for `vertexcolor`. 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. The nth element of vectors `x`, `y` and `z` jointly represent the X, Y and Z coordinates of the nth vertex. xcalendar Sets the calendar system to use with `x` date data. 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. The nth element of vectors `x`, `y` and `z` jointly represent the X, Y and Z coordinates of the nth vertex. ycalendar Sets the calendar system to use with `y` date data. 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. The nth element of vectors `x`, `y` and `z` jointly represent the X, Y and Z coordinates of the nth vertex. zcalendar Sets the calendar system to use with `z` date data. 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`. Returns ------- Mesh3d """ super(Mesh3d, self).__init__("mesh3d") if "_parent" in kwargs: self._parent = kwargs["_parent"] return # Validate arg # ------------ if arg is None: arg = {} elif isinstance(arg, self.__class__): arg = arg.to_plotly_json() elif isinstance(arg, dict): arg = _copy.copy(arg) else: raise ValueError( """\ The first argument to the plotly.graph_objs.Mesh3d constructor must be a dict or an instance of :class:`plotly.graph_objs.Mesh3d`""" ) # Handle skip_invalid # ------------------- self._skip_invalid = kwargs.pop("skip_invalid", False) self._validate = kwargs.pop("_validate", True) # Populate data dict with properties # ---------------------------------- _v = arg.pop("alphahull", None) _v = alphahull if alphahull is not None else _v if _v is not None: self["alphahull"] = _v _v = arg.pop("autocolorscale", None) _v = autocolorscale if autocolorscale is not None else _v if _v is not None: self["autocolorscale"] = _v _v = arg.pop("cauto", None) _v = cauto if cauto is not None else _v if _v is not None: self["cauto"] = _v _v = arg.pop("cmax", None) _v = cmax if cmax is not None else _v if _v is not None: self["cmax"] = _v _v = arg.pop("cmid", None) _v = cmid if cmid is not None else _v if _v is not None: self["cmid"] = _v _v = arg.pop("cmin", None) _v = cmin if cmin is not None else _v if _v is not None: self["cmin"] = _v _v = arg.pop("color", None) _v = color if color is not None else _v if _v is not None: self["color"] = _v _v = arg.pop("coloraxis", None) _v = coloraxis if coloraxis is not None else _v if _v is not None: self["coloraxis"] = _v _v = arg.pop("colorbar", None) _v = colorbar if colorbar is not None else _v if _v is not None: self["colorbar"] = _v _v = arg.pop("colorscale", None) _v = colorscale if colorscale is not None else _v if _v is not None: self["colorscale"] = _v _v = arg.pop("contour", None) _v = contour if contour is not None else _v if _v is not None: self["contour"] = _v _v = arg.pop("customdata", None) _v = customdata if customdata is not None else _v if _v is not None: self["customdata"] = _v _v = arg.pop("customdatasrc", None) _v = customdatasrc if customdatasrc is not None else _v if _v is not None: self["customdatasrc"] = _v _v = arg.pop("delaunayaxis", None) _v = delaunayaxis if delaunayaxis is not None else _v if _v is not None: self["delaunayaxis"] = _v _v = arg.pop("facecolor", None) _v = facecolor if facecolor is not None else _v if _v is not None: self["facecolor"] = _v _v = arg.pop("facecolorsrc", None) _v = facecolorsrc if facecolorsrc is not None else _v if _v is not None: self["facecolorsrc"] = _v _v = arg.pop("flatshading", None) _v = flatshading if flatshading is not None else _v if _v is not None: self["flatshading"] = _v _v = arg.pop("hoverinfo", None) _v = hoverinfo if hoverinfo is not None else _v if _v is not None: self["hoverinfo"] = _v _v = arg.pop("hoverinfosrc", None) _v = hoverinfosrc if hoverinfosrc is not None else _v if _v is not None: self["hoverinfosrc"] = _v _v = arg.pop("hoverlabel", None) _v = hoverlabel if hoverlabel is not None else _v if _v is not None: self["hoverlabel"] = _v _v = arg.pop("hovertemplate", None) _v = hovertemplate if hovertemplate is not None else _v if _v is not None: self["hovertemplate"] = _v _v = arg.pop("hovertemplatesrc", None) _v = hovertemplatesrc if hovertemplatesrc is not None else _v if _v is not None: self["hovertemplatesrc"] = _v _v = arg.pop("hovertext", None) _v = hovertext if hovertext is not None else _v if _v is not None: self["hovertext"] = _v _v = arg.pop("hovertextsrc", None) _v = hovertextsrc if hovertextsrc is not None else _v if _v is not None: self["hovertextsrc"] = _v _v = arg.pop("i", None) _v = i if i is not None else _v if _v is not None: self["i"] = _v _v = arg.pop("ids", None) _v = ids if ids is not None else _v if _v is not None: self["ids"] = _v _v = arg.pop("idssrc", None) _v = idssrc if idssrc is not None else _v if _v is not None: self["idssrc"] = _v _v = arg.pop("intensity", None) _v = intensity if intensity is not None else _v if _v is not None: self["intensity"] = _v _v = arg.pop("intensitymode", None) _v = intensitymode if intensitymode is not None else _v if _v is not None: self["intensitymode"] = _v _v = arg.pop("intensitysrc", None) _v = intensitysrc if intensitysrc is not None else _v if _v is not None: self["intensitysrc"] = _v _v = arg.pop("isrc", None) _v = isrc if isrc is not None else _v if _v is not None: self["isrc"] = _v _v = arg.pop("j", None) _v = j if j is not None else _v if _v is not None: self["j"] = _v _v = arg.pop("jsrc", None) _v = jsrc if jsrc is not None else _v if _v is not None: self["jsrc"] = _v _v = arg.pop("k", None) _v = k if k is not None else _v if _v is not None: self["k"] = _v _v = arg.pop("ksrc", None) _v = ksrc if ksrc is not None else _v if _v is not None: self["ksrc"] = _v _v = arg.pop("legend", None) _v = legend if legend is not None else _v if _v is not None: self["legend"] = _v _v = arg.pop("legendgroup", None) _v = legendgroup if legendgroup is not None else _v if _v is not None: self["legendgroup"] = _v _v = arg.pop("legendgrouptitle", None) _v = legendgrouptitle if legendgrouptitle is not None else _v if _v is not None: self["legendgrouptitle"] = _v _v = arg.pop("legendrank", None) _v = legendrank if legendrank is not None else _v if _v is not None: self["legendrank"] = _v _v = arg.pop("legendwidth", None) _v = legendwidth if legendwidth is not None else _v if _v is not None: self["legendwidth"] = _v _v = arg.pop("lighting", None) _v = lighting if lighting is not None else _v if _v is not None: self["lighting"] = _v _v = arg.pop("lightposition", None) _v = lightposition if lightposition is not None else _v if _v is not None: self["lightposition"] = _v _v = arg.pop("meta", None) _v = meta if meta is not None else _v if _v is not None: self["meta"] = _v _v = arg.pop("metasrc", None) _v = metasrc if metasrc is not None else _v if _v is not None: self["metasrc"] = _v _v = arg.pop("name", None) _v = name if name is not None else _v if _v is not None: self["name"] = _v _v = arg.pop("opacity", None) _v = opacity if opacity is not None else _v if _v is not None: self["opacity"] = _v _v = arg.pop("reversescale", None) _v = reversescale if reversescale is not None else _v if _v is not None: self["reversescale"] = _v _v = arg.pop("scene", None) _v = scene if scene is not None else _v if _v is not None: self["scene"] = _v _v = arg.pop("showlegend", None) _v = showlegend if showlegend is not None else _v if _v is not None: self["showlegend"] = _v _v = arg.pop("showscale", None) _v = showscale if showscale is not None else _v if _v is not None: self["showscale"] = _v _v = arg.pop("stream", None) _v = stream if stream is not None else _v if _v is not None: self["stream"] = _v _v = arg.pop("text", None) _v = text if text is not None else _v if _v is not None: self["text"] = _v _v = arg.pop("textsrc", None) _v = textsrc if textsrc is not None else _v if _v is not None: self["textsrc"] = _v _v = arg.pop("uid", None) _v = uid if uid is not None else _v if _v is not None: self["uid"] = _v _v = arg.pop("uirevision", None) _v = uirevision if uirevision is not None else _v if _v is not None: self["uirevision"] = _v _v = arg.pop("vertexcolor", None) _v = vertexcolor if vertexcolor is not None else _v if _v is not None: self["vertexcolor"] = _v _v = arg.pop("vertexcolorsrc", None) _v = vertexcolorsrc if vertexcolorsrc is not None else _v if _v is not None: self["vertexcolorsrc"] = _v _v = arg.pop("visible", None) _v = visible if visible is not None else _v if _v is not None: self["visible"] = _v _v = arg.pop("x", None) _v = x if x is not None else _v if _v is not None: self["x"] = _v _v = arg.pop("xcalendar", None) _v = xcalendar if xcalendar is not None else _v if _v is not None: self["xcalendar"] = _v _v = arg.pop("xhoverformat", None) _v = xhoverformat if xhoverformat is not None else _v if _v is not None: self["xhoverformat"] = _v _v = arg.pop("xsrc", None) _v = xsrc if xsrc is not None else _v if _v is not None: self["xsrc"] = _v _v = arg.pop("y", None) _v = y if y is not None else _v if _v is not None: self["y"] = _v _v = arg.pop("ycalendar", None) _v = ycalendar if ycalendar is not None else _v if _v is not None: self["ycalendar"] = _v _v = arg.pop("yhoverformat", None) _v = yhoverformat if yhoverformat is not None else _v if _v is not None: self["yhoverformat"] = _v _v = arg.pop("ysrc", None) _v = ysrc if ysrc is not None else _v if _v is not None: self["ysrc"] = _v _v = arg.pop("z", None) _v = z if z is not None else _v if _v is not None: self["z"] = _v _v = arg.pop("zcalendar", None) _v = zcalendar if zcalendar is not None else _v if _v is not None: self["zcalendar"] = _v _v = arg.pop("zhoverformat", None) _v = zhoverformat if zhoverformat is not None else _v if _v is not None: self["zhoverformat"] = _v _v = arg.pop("zsrc", None) _v = zsrc if zsrc is not None else _v if _v is not None: self["zsrc"] = _v # Read-only literals # ------------------ self._props["type"] = "mesh3d" arg.pop("type", None) # Process unknown kwargs # ---------------------- self._process_kwargs(**dict(arg, **kwargs)) # Reset skip_invalid # ------------------ self._skip_invalid = False