text: from plotly.basedatatypes import BaseTraceType as _BaseTraceType
  import copy as _copy
  
  
  class Volume(_BaseTraceType):
  
      # class properties
      # --------------------
      _parent_path_str = ""
      _path_str = "volume"
      _valid_props = {
          "autocolorscale",
          "caps",
          "cauto",
          "cmax",
          "cmid",
          "cmin",
          "coloraxis",
          "colorbar",
          "colorscale",
          "contour",
          "customdata",
          "customdatasrc",
          "flatshading",
          "hoverinfo",
          "hoverinfosrc",
          "hoverlabel",
          "hovertemplate",
          "hovertemplatesrc",
          "hovertext",
          "hovertextsrc",
          "ids",
          "idssrc",
          "isomax",
          "isomin",
          "legendgroup",
          "legendgrouptitle",
          "legendrank",
          "lighting",
          "lightposition",
          "meta",
          "metasrc",
          "name",
          "opacity",
          "opacityscale",
          "reversescale",
          "scene",
          "showlegend",
          "showscale",
          "slices",
          "spaceframe",
          "stream",
          "surface",
          "text",
          "textsrc",
          "type",
          "uid",
          "uirevision",
          "value",
          "valuehoverformat",
          "valuesrc",
          "visible",
          "x",
          "xhoverformat",
          "xsrc",
          "y",
          "yhoverformat",
          "ysrc",
          "z",
          "zhoverformat",
          "zsrc",
      }
  
      # 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
  
      # caps
      # ----
      @property
      def caps(self):
          """
          The 'caps' property is an instance of Caps
          that may be specified as:
            - An instance of :class:`plotly.graph_objs.volume.Caps`
            - A dict of string/value properties that will be passed
              to the Caps constructor
      
              Supported dict properties:
                  
                  x
                      :class:`plotly.graph_objects.volume.caps.X`
                      instance or dict with compatible properties
                  y
                      :class:`plotly.graph_objects.volume.caps.Y`
                      instance or dict with compatible properties
                  z
                      :class:`plotly.graph_objects.volume.caps.Z`
                      instance or dict with compatible properties
  
          Returns
          -------
          plotly.graph_objs.volume.Caps
          """
          return self["caps"]
  
      @caps.setter
      def caps(self, val):
          self["caps"] = val
  
      # cauto
      # -----
      @property
      def cauto(self):
          """
          Determines whether or not the color domain is computed with
          respect to the input data (here `value`) or the bounds set in
          `cmin` and `cmax`  Defaults to `false` when `cmin` and `cmax`
          are set by the user.
      
          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 `value` 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 `value`. 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 `value` 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
  
      # 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.volume.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<f>", 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<n>" 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.
                  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".
                  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<f>* (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-f
                      ormat. 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.volume.
                      colorbar.Tickformatstop` instances or dicts
                      with compatible properties
                  tickformatstopdefaults
                      When used in a template (as layout.template.dat
                      a.volume.colorbar.tickformatstopdefaults), sets
                      the default property values to use for elements
                      of volume.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.
                  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.volume.colorbar.Ti
                      tle` instance or dict with compatible
                      properties
                  titlefont
                      Deprecated: Please use
                      volume.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
                      volume.colorbar.title.side instead. Determines
                      the location of color bar's title with respect
                      to the color bar. Note that the title's
                      location used to be set by the now deprecated
                      `titleside` attribute.
                  x
                      Sets the x position of the color bar (in plot
                      fraction).
                  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.
                  xpad
                      Sets the amount of padding (in px) along the x
                      direction.
                  y
                      Sets the y position of the color bar (in plot
                      fraction).
                  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.
                  ypad
                      Sets the amount of padding (in px) along the y
                      direction.
  
          Returns
          -------
          plotly.graph_objs.volume.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.volume.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.volume.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
  
      # 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.volume.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.volume.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 `<extra>` is displayed in the secondary box,
          for example "<extra>{fullData.name}</extra>". To hide the
          secondary box completely, use an empty tag `<extra></extra>`.
      
          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
  
      # 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
  
      # isomax
      # ------
      @property
      def isomax(self):
          """
          Sets the maximum boundary for iso-surface plot.
      
          The 'isomax' property is a number and may be specified as:
            - An int or float
  
          Returns
          -------
          int|float
          """
          return self["isomax"]
  
      @isomax.setter
      def isomax(self, val):
          self["isomax"] = val
  
      # isomin
      # ------
      @property
      def isomin(self):
          """
          Sets the minimum boundary for iso-surface plot.
      
          The 'isomin' property is a number and may be specified as:
            - An int or float
  
          Returns
          -------
          int|float
          """
          return self["isomin"]
  
      @isomin.setter
      def isomin(self, val):
          self["isomin"] = val
  
      # legendgroup
      # -----------
      @property
      def legendgroup(self):
          """
          Sets the legend group for this trace. Traces 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.volume.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.volume.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.
      
          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
  
      # 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.volume.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.volume.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.volume.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.volume.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 appear 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
  
      # opacityscale
      # ------------
      @property
      def opacityscale(self):
          """
          Sets the opacityscale. The opacityscale must be an array
          containing arrays mapping a normalized value to an opacity
          value. At minimum, a mapping for the lowest (0) and highest (1)
          values are required. For example, `[[0, 1], [0.5, 0.2], [1,
          1]]` means that higher/lower values would have higher opacity
          values and those in the middle would be more transparent
          Alternatively, `opacityscale` may be a palette name string of
          the following list: 'min', 'max', 'extremes' and 'uniform'. The
          default is 'uniform'.
      
          The 'opacityscale' property accepts values of any type
  
          Returns
          -------
          Any
          """
          return self["opacityscale"]
  
      @opacityscale.setter
      def opacityscale(self, val):
          self["opacityscale"] = 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
  
      # slices
      # ------
      @property
      def slices(self):
          """
          The 'slices' property is an instance of Slices
          that may be specified as:
            - An instance of :class:`plotly.graph_objs.volume.Slices`
            - A dict of string/value properties that will be passed
              to the Slices constructor
      
              Supported dict properties:
                  
                  x
                      :class:`plotly.graph_objects.volume.slices.X`
                      instance or dict with compatible properties
                  y
                      :class:`plotly.graph_objects.volume.slices.Y`
                      instance or dict with compatible properties
                  z
                      :class:`plotly.graph_objects.volume.slices.Z`
                      instance or dict with compatible properties
  
          Returns
          -------
          plotly.graph_objs.volume.Slices
          """
          return self["slices"]
  
      @slices.setter
      def slices(self, val):
          self["slices"] = val
  
      # spaceframe
      # ----------
      @property
      def spaceframe(self):
          """
          The 'spaceframe' property is an instance of Spaceframe
          that may be specified as:
            - An instance of :class:`plotly.graph_objs.volume.Spaceframe`
            - A dict of string/value properties that will be passed
              to the Spaceframe constructor
      
              Supported dict properties:
                  
                  fill
                      Sets the fill ratio of the `spaceframe`
                      elements. The default fill value is 1 meaning
                      that they are entirely shaded. Applying a
                      `fill` ratio less than one would allow the
                      creation of openings parallel to the edges.
                  show
                      Displays/hides tetrahedron shapes between
                      minimum and maximum iso-values. Often useful
                      when either caps or surfaces are disabled or
                      filled with values less than 1.
  
          Returns
          -------
          plotly.graph_objs.volume.Spaceframe
          """
          return self["spaceframe"]
  
      @spaceframe.setter
      def spaceframe(self, val):
          self["spaceframe"] = 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.volume.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.volume.Stream
          """
          return self["stream"]
  
      @stream.setter
      def stream(self, val):
          self["stream"] = val
  
      # surface
      # -------
      @property
      def surface(self):
          """
          The 'surface' property is an instance of Surface
          that may be specified as:
            - An instance of :class:`plotly.graph_objs.volume.Surface`
            - A dict of string/value properties that will be passed
              to the Surface constructor
      
              Supported dict properties:
                  
                  count
                      Sets the number of iso-surfaces between minimum
                      and maximum iso-values. By default this value
                      is 2 meaning that only minimum and maximum
                      surfaces would be drawn.
                  fill
                      Sets the fill ratio of the iso-surface. The
                      default fill value of the surface is 1 meaning
                      that they are entirely shaded. On the other
                      hand Applying a `fill` ratio less than one
                      would allow the creation of openings parallel
                      to the edges.
                  pattern
                      Sets the surface pattern of the iso-surface 3-D
                      sections. The default pattern of the surface is
                      `all` meaning that the rest of surface elements
                      would be shaded. The check options (either 1 or
                      2) could be used to draw half of the squares on
                      the surface. Using various combinations of
                      capital `A`, `B`, `C`, `D` and `E` may also be
                      used to reduce the number of triangles on the
                      iso-surfaces and creating other patterns of
                      interest.
                  show
                      Hides/displays surfaces between minimum and
                      maximum iso-values.
  
          Returns
          -------
          plotly.graph_objs.volume.Surface
          """
          return self["surface"]
  
      @surface.setter
      def surface(self, val):
          self["surface"] = 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
  
      # value
      # -----
      @property
      def value(self):
          """
          Sets the 4th dimension (value) of the vertices.
      
          The 'value' property is an array that may be specified as a tuple,
          list, numpy array, or pandas Series
  
          Returns
          -------
          numpy.ndarray
          """
          return self["value"]
  
      @value.setter
      def value(self, val):
          self["value"] = val
  
      # valuehoverformat
      # ----------------
      @property
      def valuehoverformat(self):
          """
          Sets the hover text formatting rulefor `value`  using d3
          formatting mini-languages which are very similar to those in
          Python. For numbers, see:
          https://github.com/d3/d3-format/tree/v1.4.5#d3-format.By
          default the values are formatted using generic number format.
      
          The 'valuehoverformat' property is a string and must be specified as:
            - A string
            - A number that will be converted to a string
  
          Returns
          -------
          str
          """
          return self["valuehoverformat"]
  
      @valuehoverformat.setter
      def valuehoverformat(self, val):
          self["valuehoverformat"] = val
  
      # valuesrc
      # --------
      @property
      def valuesrc(self):
          """
          Sets the source reference on Chart Studio Cloud for  value .
      
          The 'valuesrc' property must be specified as a string or
          as a plotly.grid_objs.Column object
  
          Returns
          -------
          str
          """
          return self["valuesrc"]
  
      @valuesrc.setter
      def valuesrc(self, val):
          self["valuesrc"] = 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 on X axis.
      
          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
  
      # 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 on Y axis.
      
          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
  
      # 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 on Z axis.
      
          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
  
      # 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 """\
          autocolorscale
              Determines whether the colorscale is a default palette
              (`autocolorscale: true`) or the palette determined by
              `colorscale`. In case `colorscale` is unspecified or
              `autocolorscale` is true, the default  palette will be
              chosen according to whether numbers in the `color`
              array are all positive, all negative or mixed.
          caps
              :class:`plotly.graph_objects.volume.Caps` instance or
              dict with compatible properties
          cauto
              Determines whether or not the color domain is computed
              with respect to the input data (here `value`) or the
              bounds set in `cmin` and `cmax`  Defaults to `false`
              when `cmin` and `cmax` are set by the user.
          cmax
              Sets the upper bound of the color domain. Value should
              have the same units as `value` and if set, `cmin` must
              be set as well.
          cmid
              Sets the mid-point of the color domain by scaling
              `cmin` and/or `cmax` to be equidistant to this point.
              Value should have the same units as `value`. Has no
              effect when `cauto` is `false`.
          cmin
              Sets the lower bound of the color domain. Value should
              have the same units as `value` and if set, `cmax` must
              be set as well.
          coloraxis
              Sets a reference to a shared color axis. References to
              these shared color axes are "coloraxis", "coloraxis2",
              "coloraxis3", etc. Settings for these shared color axes
              are set in the layout, under `layout.coloraxis`,
              `layout.coloraxis2`, etc. Note that multiple color
              scales can be linked to the same color axis.
          colorbar
              :class:`plotly.graph_objects.volume.ColorBar` instance
              or dict with compatible properties
          colorscale
              Sets the colorscale. The colorscale must be an array
              containing arrays mapping a normalized value to an rgb,
              rgba, hex, hsl, hsv, or named color string. At minimum,
              a mapping for the lowest (0) and highest (1) values are
              required. For example, `[[0, 'rgb(0,0,255)'], [1,
              'rgb(255,0,0)']]`. To control the bounds of the
              colorscale in color space, use`cmin` and `cmax`.
              Alternatively, `colorscale` may be a palette name
              string of the following list: Blackbody,Bluered,Blues,C
              ividis,Earth,Electric,Greens,Greys,Hot,Jet,Picnic,Portl
              and,Rainbow,RdBu,Reds,Viridis,YlGnBu,YlOrRd.
          contour
              :class:`plotly.graph_objects.volume.Contour` instance
              or dict with compatible properties
          customdata
              Assigns extra data each datum. This may be useful when
              listening to hover, click and selection events. Note
              that, "scatter" traces also appends customdata items in
              the markers DOM elements
          customdatasrc
              Sets the source reference on Chart Studio Cloud for
              customdata .
          flatshading
              Determines whether or not normal smoothing is applied
              to the meshes, creating meshes with an angular, low-
              poly look via flat reflections.
          hoverinfo
              Determines which trace information appear on hover. If
              `none` or `skip` are set, no information is displayed
              upon hovering. But, if `none` is set, click and hover
              events are still fired.
          hoverinfosrc
              Sets the source reference on Chart Studio Cloud for
              hoverinfo .
          hoverlabel
              :class:`plotly.graph_objects.volume.Hoverlabel`
              instance or dict with compatible properties
          hovertemplate
              Template string used for rendering the information that
              appear on hover box. Note that this will override
              `hoverinfo`. Variables are inserted using %{variable},
              for example "y: %{y}" as well as %{xother}, {%_xother},
              {%_xother_}, {%xother_}. When showing info for several
              points, "xother" will be added to those with different
              x positions from the first point. An underscore before
              or after "(x|y)other" will add a space on that side,
              only when this field is shown. Numbers are formatted
              using d3-format's syntax %{variable:d3-format}, for
              example "Price: %{y:$.2f}".
              https://github.com/d3/d3-format/tree/v1.4.5#d3-format
              for details on the formatting syntax. Dates are
              formatted using d3-time-format's syntax
              %{variable|d3-time-format}, for example "Day:
              %{2019-01-01|%A}". https://github.com/d3/d3-time-
              format/tree/v2.2.3#locale_format for details on the
              date formatting syntax. 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 `<extra>` is
              displayed in the secondary box, for example
              "<extra>{fullData.name}</extra>". To hide the secondary
              box completely, use an empty tag `<extra></extra>`.
          hovertemplatesrc
              Sets the source reference on Chart Studio Cloud for
              hovertemplate .
          hovertext
              Same as `text`.
          hovertextsrc
              Sets the source reference on Chart Studio Cloud for
              hovertext .
          ids
              Assigns id labels to each datum. These ids for object
              constancy of data points during animation. Should be an
              array of strings, not numbers or any other type.
          idssrc
              Sets the source reference on Chart Studio Cloud for
              ids .
          isomax
              Sets the maximum boundary for iso-surface plot.
          isomin
              Sets the minimum boundary for iso-surface plot.
          legendgroup
              Sets the legend group for this trace. Traces part of
              the same legend group hide/show at the same time when
              toggling legend items.
          legendgrouptitle
              :class:`plotly.graph_objects.volume.Legendgrouptitle`
              instance or dict with compatible properties
          legendrank
              Sets the legend rank for this trace. Items and groups
              with smaller ranks are presented on top/left side while
              with `*reversed* `legend.traceorder` they are on
              bottom/right side. The default legendrank is 1000, so
              that you can use ranks less than 1000 to place certain
              items before all unranked items, and ranks greater than
              1000 to go after all unranked items.
          lighting
              :class:`plotly.graph_objects.volume.Lighting` instance
              or dict with compatible properties
          lightposition
              :class:`plotly.graph_objects.volume.Lightposition`
              instance or dict with compatible properties
          meta
              Assigns extra meta information associated with this
              trace that can be used in various text attributes.
              Attributes such as trace `name`, graph, axis and
              colorbar `title.text`, annotation `text`
              `rangeselector`, `updatemenues` and `sliders` `label`
              text all support `meta`. To access the trace `meta`
              values in an attribute in the same trace, simply use
              `%{meta[i]}` where `i` is the index or key of the
              `meta` item in question. To access trace `meta` in
              layout attributes, use `%{data[n[.meta[i]}` where `i`
              is the index or key of the `meta` and `n` is the trace
              index.
          metasrc
              Sets the source reference on Chart Studio Cloud for
              meta .
          name
              Sets the trace name. The trace name appear as the
              legend item and on hover.
          opacity
              Sets the opacity of the surface. Please note that in
              the case of using high `opacity` values for example a
              value greater than or equal to 0.5 on two surfaces (and
              0.25 with four surfaces), an overlay of multiple
              transparent surfaces may not perfectly be sorted in
              depth by the webgl API. This behavior may be improved
              in the near future and is subject to change.
          opacityscale
              Sets the opacityscale. The opacityscale must be an
              array containing arrays mapping a normalized value to
              an opacity value. At minimum, a mapping for the lowest
              (0) and highest (1) values are required. For example,
              `[[0, 1], [0.5, 0.2], [1, 1]]` means that higher/lower
              values would have higher opacity values and those in
              the middle would be more transparent Alternatively,
              `opacityscale` may be a palette name string of the
              following list: 'min', 'max', 'extremes' and 'uniform'.
              The default is 'uniform'.
          reversescale
              Reverses the color mapping if true. If true, `cmin`
              will correspond to the last color in the array and
              `cmax` will correspond to the first color.
          scene
              Sets a reference between this trace's 3D coordinate
              system and a 3D scene. If "scene" (the default value),
              the (x,y,z) coordinates refer to `layout.scene`. If
              "scene2", the (x,y,z) coordinates refer to
              `layout.scene2`, and so on.
          showlegend
              Determines whether or not an item corresponding to this
              trace is shown in the legend.
          showscale
              Determines whether or not a colorbar is displayed for
              this trace.
          slices
              :class:`plotly.graph_objects.volume.Slices` instance or
              dict with compatible properties
          spaceframe
              :class:`plotly.graph_objects.volume.Spaceframe`
              instance or dict with compatible properties
          stream
              :class:`plotly.graph_objects.volume.Stream` instance or
              dict with compatible properties
          surface
              :class:`plotly.graph_objects.volume.Surface` instance
              or dict with compatible properties
          text
              Sets the text elements associated with the vertices. If
              trace `hoverinfo` contains a "text" flag and
              "hovertext" is not set, these elements will be seen in
              the hover labels.
          textsrc
              Sets the source reference on Chart Studio Cloud for
              text .
          uid
              Assign an id to this trace, Use this to provide object
              constancy between traces during animations and
              transitions.
          uirevision
              Controls persistence of some user-driven changes to the
              trace: `constraintrange` in `parcoords` traces, as well
              as some `editable: true` modifications such as `name`
              and `colorbar.title`. Defaults to `layout.uirevision`.
              Note that other user-driven trace attribute changes are
              controlled by `layout` attributes: `trace.visible` is
              controlled by `layout.legend.uirevision`,
              `selectedpoints` is controlled by
              `layout.selectionrevision`, and `colorbar.(x|y)`
              (accessible with `config: {editable: true}`) is
              controlled by `layout.editrevision`. Trace changes are
              tracked by `uid`, which only falls back on trace index
              if no `uid` is provided. So if your app can add/remove
              traces before the end of the `data` array, such that
              the same trace has a different index, you can still
              preserve user-driven changes if you give each trace a
              `uid` that stays with it as it moves.
          value
              Sets the 4th dimension (value) of the vertices.
          valuehoverformat
              Sets the hover text formatting rulefor `value`  using
              d3 formatting mini-languages which are very similar to
              those in Python. For numbers, see: https://github.com/d
              3/d3-format/tree/v1.4.5#d3-format.By default the values
              are formatted using generic number format.
          valuesrc
              Sets the source reference on Chart Studio Cloud for
              value .
          visible
              Determines whether or not this trace is visible. If
              "legendonly", the trace is not drawn, but can appear as
              a legend item (provided that the legend itself is
              visible).
          x
              Sets the X coordinates of the vertices on X axis.
          xhoverformat
              Sets the hover text formatting rulefor `x`  using d3
              formatting mini-languages which are very similar to
              those in Python. For numbers, see:
              https://github.com/d3/d3-format/tree/v1.4.5#d3-format.
              And for dates see: https://github.com/d3/d3-time-
              format/tree/v2.2.3#locale_format. We add two items to
              d3's date formatter: "%h" for half of the year as a
              decimal number as well as "%{n}f" for fractional
              seconds with n digits. For example, *2016-10-13
              09:15:23.456* with tickformat "%H~%M~%S.%2f" would
              display *09~15~23.46*By default the values are
              formatted using `xaxis.hoverformat`.
          xsrc
              Sets the source reference on Chart Studio Cloud for  x
              .
          y
              Sets the Y coordinates of the vertices on Y axis.
          yhoverformat
              Sets the hover text formatting rulefor `y`  using d3
              formatting mini-languages which are very similar to
              those in Python. For numbers, see:
              https://github.com/d3/d3-format/tree/v1.4.5#d3-format.
              And for dates see: https://github.com/d3/d3-time-
              format/tree/v2.2.3#locale_format. We add two items to
              d3's date formatter: "%h" for half of the year as a
              decimal number as well as "%{n}f" for fractional
              seconds with n digits. For example, *2016-10-13
              09:15:23.456* with tickformat "%H~%M~%S.%2f" would
              display *09~15~23.46*By default the values are
              formatted using `yaxis.hoverformat`.
          ysrc
              Sets the source reference on Chart Studio Cloud for  y
              .
          z
              Sets the Z coordinates of the vertices on Z axis.
          zhoverformat
              Sets the hover text formatting rulefor `z`  using d3
              formatting mini-languages which are very similar to
              those in Python. For numbers, see:
              https://github.com/d3/d3-format/tree/v1.4.5#d3-format.
              And for dates see: https://github.com/d3/d3-time-
              format/tree/v2.2.3#locale_format. We add two items to
              d3's date formatter: "%h" for half of the year as a
              decimal number as well as "%{n}f" for fractional
              seconds with n digits. For example, *2016-10-13
              09:15:23.456* with tickformat "%H~%M~%S.%2f" would
              display *09~15~23.46*By default the values are
              formatted using `zaxis.hoverformat`.
          zsrc
              Sets the source reference on Chart Studio Cloud for  z
              .
          """
  
      def __init__(
          self,
          arg=None,
          autocolorscale=None,
          caps=None,
          cauto=None,
          cmax=None,
          cmid=None,
          cmin=None,
          coloraxis=None,
          colorbar=None,
          colorscale=None,
          contour=None,
          customdata=None,
          customdatasrc=None,
          flatshading=None,
          hoverinfo=None,
          hoverinfosrc=None,
          hoverlabel=None,
          hovertemplate=None,
          hovertemplatesrc=None,
          hovertext=None,
          hovertextsrc=None,
          ids=None,
          idssrc=None,
          isomax=None,
          isomin=None,
          legendgroup=None,
          legendgrouptitle=None,
          legendrank=None,
          lighting=None,
          lightposition=None,
          meta=None,
          metasrc=None,
          name=None,
          opacity=None,
          opacityscale=None,
          reversescale=None,
          scene=None,
          showlegend=None,
          showscale=None,
          slices=None,
          spaceframe=None,
          stream=None,
          surface=None,
          text=None,
          textsrc=None,
          uid=None,
          uirevision=None,
          value=None,
          valuehoverformat=None,
          valuesrc=None,
          visible=None,
          x=None,
          xhoverformat=None,
          xsrc=None,
          y=None,
          yhoverformat=None,
          ysrc=None,
          z=None,
          zhoverformat=None,
          zsrc=None,
          **kwargs
      ):
          """
          Construct a new Volume object
          
          Draws volume trace between iso-min and iso-max values with
          coordinates given by four 1-dimensional arrays containing the
          `value`, `x`, `y` and `z` of every vertex of a uniform or non-
          uniform 3-D grid. Horizontal or vertical slices, caps as well
          as spaceframe between iso-min and iso-max values could also be
          drawn using this trace.
  
          Parameters
          ----------
          arg
              dict of properties compatible with this constructor or
              an instance of :class:`plotly.graph_objs.Volume`
          autocolorscale
              Determines whether the colorscale is a default palette
              (`autocolorscale: true`) or the palette determined by
              `colorscale`. In case `colorscale` is unspecified or
              `autocolorscale` is true, the default  palette will be
              chosen according to whether numbers in the `color`
              array are all positive, all negative or mixed.
          caps
              :class:`plotly.graph_objects.volume.Caps` instance or
              dict with compatible properties
          cauto
              Determines whether or not the color domain is computed
              with respect to the input data (here `value`) or the
              bounds set in `cmin` and `cmax`  Defaults to `false`
              when `cmin` and `cmax` are set by the user.
          cmax
              Sets the upper bound of the color domain. Value should
              have the same units as `value` and if set, `cmin` must
              be set as well.
          cmid
              Sets the mid-point of the color domain by scaling
              `cmin` and/or `cmax` to be equidistant to this point.
              Value should have the same units as `value`. Has no
              effect when `cauto` is `false`.
          cmin
              Sets the lower bound of the color domain. Value should
              have the same units as `value` and if set, `cmax` must
              be set as well.
          coloraxis
              Sets a reference to a shared color axis. References to
              these shared color axes are "coloraxis", "coloraxis2",
              "coloraxis3", etc. Settings for these shared color axes
              are set in the layout, under `layout.coloraxis`,
              `layout.coloraxis2`, etc. Note that multiple color
              scales can be linked to the same color axis.
          colorbar
              :class:`plotly.graph_objects.volume.ColorBar` instance
              or dict with compatible properties
          colorscale
              Sets the colorscale. The colorscale must be an array
              containing arrays mapping a normalized value to an rgb,
              rgba, hex, hsl, hsv, or named color string. At minimum,
              a mapping for the lowest (0) and highest (1) values are
              required. For example, `[[0, 'rgb(0,0,255)'], [1,
              'rgb(255,0,0)']]`. To control the bounds of the
              colorscale in color space, use`cmin` and `cmax`.
              Alternatively, `colorscale` may be a palette name
              string of the following list: Blackbody,Bluered,Blues,C
              ividis,Earth,Electric,Greens,Greys,Hot,Jet,Picnic,Portl
              and,Rainbow,RdBu,Reds,Viridis,YlGnBu,YlOrRd.
          contour
              :class:`plotly.graph_objects.volume.Contour` instance
              or dict with compatible properties
          customdata
              Assigns extra data each datum. This may be useful when
              listening to hover, click and selection events. Note
              that, "scatter" traces also appends customdata items in
              the markers DOM elements
          customdatasrc
              Sets the source reference on Chart Studio Cloud for
              customdata .
          flatshading
              Determines whether or not normal smoothing is applied
              to the meshes, creating meshes with an angular, low-
              poly look via flat reflections.
          hoverinfo
              Determines which trace information appear on hover. If
              `none` or `skip` are set, no information is displayed
              upon hovering. But, if `none` is set, click and hover
              events are still fired.
          hoverinfosrc
              Sets the source reference on Chart Studio Cloud for
              hoverinfo .
          hoverlabel
              :class:`plotly.graph_objects.volume.Hoverlabel`
              instance or dict with compatible properties
          hovertemplate
              Template string used for rendering the information that
              appear on hover box. Note that this will override
              `hoverinfo`. Variables are inserted using %{variable},
              for example "y: %{y}" as well as %{xother}, {%_xother},
              {%_xother_}, {%xother_}. When showing info for several
              points, "xother" will be added to those with different
              x positions from the first point. An underscore before
              or after "(x|y)other" will add a space on that side,
              only when this field is shown. Numbers are formatted
              using d3-format's syntax %{variable:d3-format}, for
              example "Price: %{y:$.2f}".
              https://github.com/d3/d3-format/tree/v1.4.5#d3-format
              for details on the formatting syntax. Dates are
              formatted using d3-time-format's syntax
              %{variable|d3-time-format}, for example "Day:
              %{2019-01-01|%A}". https://github.com/d3/d3-time-
              format/tree/v2.2.3#locale_format for details on the
              date formatting syntax. 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 `<extra>` is
              displayed in the secondary box, for example
              "<extra>{fullData.name}</extra>". To hide the secondary
              box completely, use an empty tag `<extra></extra>`.
          hovertemplatesrc
              Sets the source reference on Chart Studio Cloud for
              hovertemplate .
          hovertext
              Same as `text`.
          hovertextsrc
              Sets the source reference on Chart Studio Cloud for
              hovertext .
          ids
              Assigns id labels to each datum. These ids for object
              constancy of data points during animation. Should be an
              array of strings, not numbers or any other type.
          idssrc
              Sets the source reference on Chart Studio Cloud for
              ids .
          isomax
              Sets the maximum boundary for iso-surface plot.
          isomin
              Sets the minimum boundary for iso-surface plot.
          legendgroup
              Sets the legend group for this trace. Traces part of
              the same legend group hide/show at the same time when
              toggling legend items.
          legendgrouptitle
              :class:`plotly.graph_objects.volume.Legendgrouptitle`
              instance or dict with compatible properties
          legendrank
              Sets the legend rank for this trace. Items and groups
              with smaller ranks are presented on top/left side while
              with `*reversed* `legend.traceorder` they are on
              bottom/right side. The default legendrank is 1000, so
              that you can use ranks less than 1000 to place certain
              items before all unranked items, and ranks greater than
              1000 to go after all unranked items.
          lighting
              :class:`plotly.graph_objects.volume.Lighting` instance
              or dict with compatible properties
          lightposition
              :class:`plotly.graph_objects.volume.Lightposition`
              instance or dict with compatible properties
          meta
              Assigns extra meta information associated with this
              trace that can be used in various text attributes.
              Attributes such as trace `name`, graph, axis and
              colorbar `title.text`, annotation `text`
              `rangeselector`, `updatemenues` and `sliders` `label`
              text all support `meta`. To access the trace `meta`
              values in an attribute in the same trace, simply use
              `%{meta[i]}` where `i` is the index or key of the
              `meta` item in question. To access trace `meta` in
              layout attributes, use `%{data[n[.meta[i]}` where `i`
              is the index or key of the `meta` and `n` is the trace
              index.
          metasrc
              Sets the source reference on Chart Studio Cloud for
              meta .
          name
              Sets the trace name. The trace name appear as the
              legend item and on hover.
          opacity
              Sets the opacity of the surface. Please note that in
              the case of using high `opacity` values for example a
              value greater than or equal to 0.5 on two surfaces (and
              0.25 with four surfaces), an overlay of multiple
              transparent surfaces may not perfectly be sorted in
              depth by the webgl API. This behavior may be improved
              in the near future and is subject to change.
          opacityscale
              Sets the opacityscale. The opacityscale must be an
              array containing arrays mapping a normalized value to
              an opacity value. At minimum, a mapping for the lowest
              (0) and highest (1) values are required. For example,
              `[[0, 1], [0.5, 0.2], [1, 1]]` means that higher/lower
              values would have higher opacity values and those in
              the middle would be more transparent Alternatively,
              `opacityscale` may be a palette name string of the
              following list: 'min', 'max', 'extremes' and 'uniform'.
              The default is 'uniform'.
          reversescale
              Reverses the color mapping if true. If true, `cmin`
              will correspond to the last color in the array and
              `cmax` will correspond to the first color.
          scene
              Sets a reference between this trace's 3D coordinate
              system and a 3D scene. If "scene" (the default value),
              the (x,y,z) coordinates refer to `layout.scene`. If
              "scene2", the (x,y,z) coordinates refer to
              `layout.scene2`, and so on.
          showlegend
              Determines whether or not an item corresponding to this
              trace is shown in the legend.
          showscale
              Determines whether or not a colorbar is displayed for
              this trace.
          slices
              :class:`plotly.graph_objects.volume.Slices` instance or
              dict with compatible properties
          spaceframe
              :class:`plotly.graph_objects.volume.Spaceframe`
              instance or dict with compatible properties
          stream
              :class:`plotly.graph_objects.volume.Stream` instance or
              dict with compatible properties
          surface
              :class:`plotly.graph_objects.volume.Surface` instance
              or dict with compatible properties
          text
              Sets the text elements associated with the vertices. If
              trace `hoverinfo` contains a "text" flag and
              "hovertext" is not set, these elements will be seen in
              the hover labels.
          textsrc
              Sets the source reference on Chart Studio Cloud for
              text .
          uid
              Assign an id to this trace, Use this to provide object
              constancy between traces during animations and
              transitions.
          uirevision
              Controls persistence of some user-driven changes to the
              trace: `constraintrange` in `parcoords` traces, as well
              as some `editable: true` modifications such as `name`
              and `colorbar.title`. Defaults to `layout.uirevision`.
              Note that other user-driven trace attribute changes are
              controlled by `layout` attributes: `trace.visible` is
              controlled by `layout.legend.uirevision`,
              `selectedpoints` is controlled by
              `layout.selectionrevision`, and `colorbar.(x|y)`
              (accessible with `config: {editable: true}`) is
              controlled by `layout.editrevision`. Trace changes are
              tracked by `uid`, which only falls back on trace index
              if no `uid` is provided. So if your app can add/remove
              traces before the end of the `data` array, such that
              the same trace has a different index, you can still
              preserve user-driven changes if you give each trace a
              `uid` that stays with it as it moves.
          value
              Sets the 4th dimension (value) of the vertices.
          valuehoverformat
              Sets the hover text formatting rulefor `value`  using
              d3 formatting mini-languages which are very similar to
              those in Python. For numbers, see: https://github.com/d
              3/d3-format/tree/v1.4.5#d3-format.By default the values
              are formatted using generic number format.
          valuesrc
              Sets the source reference on Chart Studio Cloud for
              value .
          visible
              Determines whether or not this trace is visible. If
              "legendonly", the trace is not drawn, but can appear as
              a legend item (provided that the legend itself is
              visible).
          x
              Sets the X coordinates of the vertices on X axis.
          xhoverformat
              Sets the hover text formatting rulefor `x`  using d3
              formatting mini-languages which are very similar to
              those in Python. For numbers, see:
              https://github.com/d3/d3-format/tree/v1.4.5#d3-format.
              And for dates see: https://github.com/d3/d3-time-
              format/tree/v2.2.3#locale_format. We add two items to
              d3's date formatter: "%h" for half of the year as a
              decimal number as well as "%{n}f" for fractional
              seconds with n digits. For example, *2016-10-13
              09:15:23.456* with tickformat "%H~%M~%S.%2f" would
              display *09~15~23.46*By default the values are
              formatted using `xaxis.hoverformat`.
          xsrc
              Sets the source reference on Chart Studio Cloud for  x
              .
          y
              Sets the Y coordinates of the vertices on Y axis.
          yhoverformat
              Sets the hover text formatting rulefor `y`  using d3
              formatting mini-languages which are very similar to
              those in Python. For numbers, see:
              https://github.com/d3/d3-format/tree/v1.4.5#d3-format.
              And for dates see: https://github.com/d3/d3-time-
              format/tree/v2.2.3#locale_format. We add two items to
              d3's date formatter: "%h" for half of the year as a
              decimal number as well as "%{n}f" for fractional
              seconds with n digits. For example, *2016-10-13
              09:15:23.456* with tickformat "%H~%M~%S.%2f" would
              display *09~15~23.46*By default the values are
              formatted using `yaxis.hoverformat`.
          ysrc
              Sets the source reference on Chart Studio Cloud for  y
              .
          z
              Sets the Z coordinates of the vertices on Z axis.
          zhoverformat
              Sets the hover text formatting rulefor `z`  using d3
              formatting mini-languages which are very similar to
              those in Python. For numbers, see:
              https://github.com/d3/d3-format/tree/v1.4.5#d3-format.
              And for dates see: https://github.com/d3/d3-time-
              format/tree/v2.2.3#locale_format. We add two items to
              d3's date formatter: "%h" for half of the year as a
              decimal number as well as "%{n}f" for fractional
              seconds with n digits. For example, *2016-10-13
              09:15:23.456* with tickformat "%H~%M~%S.%2f" would
              display *09~15~23.46*By default the values are
              formatted using `zaxis.hoverformat`.
          zsrc
              Sets the source reference on Chart Studio Cloud for  z
              .
  
          Returns
          -------
          Volume
          """
          super(Volume, self).__init__("volume")
  
          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.Volume 
  constructor must be a dict or 
  an instance of :class:`plotly.graph_objs.Volume`"""
              )
  
          # 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("autocolorscale", None)
          _v = autocolorscale if autocolorscale is not None else _v
          if _v is not None:
              self["autocolorscale"] = _v
          _v = arg.pop("caps", None)
          _v = caps if caps is not None else _v
          if _v is not None:
              self["caps"] = _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("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("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("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("isomax", None)
          _v = isomax if isomax is not None else _v
          if _v is not None:
              self["isomax"] = _v
          _v = arg.pop("isomin", None)
          _v = isomin if isomin is not None else _v
          if _v is not None:
              self["isomin"] = _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("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("opacityscale", None)
          _v = opacityscale if opacityscale is not None else _v
          if _v is not None:
              self["opacityscale"] = _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("slices", None)
          _v = slices if slices is not None else _v
          if _v is not None:
              self["slices"] = _v
          _v = arg.pop("spaceframe", None)
          _v = spaceframe if spaceframe is not None else _v
          if _v is not None:
              self["spaceframe"] = _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("surface", None)
          _v = surface if surface is not None else _v
          if _v is not None:
              self["surface"] = _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("value", None)
          _v = value if value is not None else _v
          if _v is not None:
              self["value"] = _v
          _v = arg.pop("valuehoverformat", None)
          _v = valuehoverformat if valuehoverformat is not None else _v
          if _v is not None:
              self["valuehoverformat"] = _v
          _v = arg.pop("valuesrc", None)
          _v = valuesrc if valuesrc is not None else _v
          if _v is not None:
              self["valuesrc"] = _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("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("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("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"] = "volume"
          arg.pop("type", None)
  
          # Process unknown kwargs
          # ----------------------
          self._process_kwargs(**dict(arg, **kwargs))
  
          # Reset skip_invalid
          # ------------------
          self._skip_invalid = False
  