text: from plotly.basedatatypes import BaseTraceType
  import copy
  
  
  class Contourcarpet(BaseTraceType):
  
      # a
      # -
      @property
      def a(self):
          """
          Sets the x coordinates.
      
          The 'a' property is an array that may be specified as a tuple,
          list, numpy array, or pandas Series
  
          Returns
          -------
          numpy.ndarray
          """
          return self['a']
  
      @a.setter
      def a(self, val):
          self['a'] = val
  
      # a0
      # --
      @property
      def a0(self):
          """
          Alternate to `x`. Builds a linear space of x coordinates. Use
          with `dx` where `x0` is the starting coordinate and `dx` the
          step.
      
          The 'a0' property accepts values of any type
  
          Returns
          -------
          Any
          """
          return self['a0']
  
      @a0.setter
      def a0(self, val):
          self['a0'] = val
  
      # asrc
      # ----
      @property
      def asrc(self):
          """
          Sets the source reference on plot.ly for  a .
      
          The 'asrc' property must be specified as a string or
          as a plotly.grid_objs.Column object
  
          Returns
          -------
          str
          """
          return self['asrc']
  
      @asrc.setter
      def asrc(self, val):
          self['asrc'] = val
  
      # atype
      # -----
      @property
      def atype(self):
          """
          If "array", the heatmap's x coordinates are given by "x" (the
          default behavior when `x` is provided). If "scaled", the
          heatmap's x coordinates are given by "x0" and "dx" (the default
          behavior when `x` is not provided).
      
          The 'atype' property is an enumeration that may be specified as:
            - One of the following enumeration values:
                  ['array', 'scaled']
  
          Returns
          -------
          Any
          """
          return self['atype']
  
      @atype.setter
      def atype(self, val):
          self['atype'] = val
  
      # autocolorscale
      # --------------
      @property
      def autocolorscale(self):
          """
          Determines whether the colorscale is a default palette
          (`autocolorscale: true`) or the palette determined by
          `colorscale`. In case `colorscale` is unspecified or
          `autocolorscale` is true, the default  palette will be chosen
          according to whether numbers in the `color` array are all
          positive, all negative or mixed.
      
          The 'autocolorscale' property must be specified as a bool
          (either True, or False)
  
          Returns
          -------
          bool
          """
          return self['autocolorscale']
  
      @autocolorscale.setter
      def autocolorscale(self, val):
          self['autocolorscale'] = val
  
      # autocontour
      # -----------
      @property
      def autocontour(self):
          """
          Determines whether or not the contour level attributes are
          picked by an algorithm. If True, the number of contour levels
          can be set in `ncontours`. If False, set the contour level
          attributes in `contours`.
      
          The 'autocontour' property must be specified as a bool
          (either True, or False)
  
          Returns
          -------
          bool
          """
          return self['autocontour']
  
      @autocontour.setter
      def autocontour(self, val):
          self['autocontour'] = val
  
      # b
      # -
      @property
      def b(self):
          """
          Sets the y coordinates.
      
          The 'b' property is an array that may be specified as a tuple,
          list, numpy array, or pandas Series
  
          Returns
          -------
          numpy.ndarray
          """
          return self['b']
  
      @b.setter
      def b(self, val):
          self['b'] = val
  
      # b0
      # --
      @property
      def b0(self):
          """
          Alternate to `y`. Builds a linear space of y coordinates. Use
          with `dy` where `y0` is the starting coordinate and `dy` the
          step.
      
          The 'b0' property accepts values of any type
  
          Returns
          -------
          Any
          """
          return self['b0']
  
      @b0.setter
      def b0(self, val):
          self['b0'] = val
  
      # bsrc
      # ----
      @property
      def bsrc(self):
          """
          Sets the source reference on plot.ly for  b .
      
          The 'bsrc' property must be specified as a string or
          as a plotly.grid_objs.Column object
  
          Returns
          -------
          str
          """
          return self['bsrc']
  
      @bsrc.setter
      def bsrc(self, val):
          self['bsrc'] = val
  
      # btype
      # -----
      @property
      def btype(self):
          """
          If "array", the heatmap's y coordinates are given by "y" (the
          default behavior when `y` is provided) If "scaled", the
          heatmap's y coordinates are given by "y0" and "dy" (the default
          behavior when `y` is not provided)
      
          The 'btype' property is an enumeration that may be specified as:
            - One of the following enumeration values:
                  ['array', 'scaled']
  
          Returns
          -------
          Any
          """
          return self['btype']
  
      @btype.setter
      def btype(self, val):
          self['btype'] = val
  
      # carpet
      # ------
      @property
      def carpet(self):
          """
          The `carpet` of the carpet axes on which this contour trace
          lies
      
          The 'carpet' property is a string and must be specified as:
            - A string
            - A number that will be converted to a string
  
          Returns
          -------
          str
          """
          return self['carpet']
  
      @carpet.setter
      def carpet(self, val):
          self['carpet'] = val
  
      # colorbar
      # --------
      @property
      def colorbar(self):
          """
          The 'colorbar' property is an instance of ColorBar
          that may be specified as:
            - An instance of plotly.graph_objs.contourcarpet.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.
                  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/blob/master/READ
                      ME.md#locale_format And for dates see:
                      https://github.com/d3/d3-time-
                      format/blob/master/README.md#locale_format We
                      add one item to d3's date formatter: "%{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
                      plotly.graph_objs.contourcarpet.colorbar.Tickfo
                      rmatstop instance or dict with compatible
                      properties
                  tickformatstopdefaults
                      When used in a template (as layout.template.dat
                      a.contourcarpet.colorbar.tickformatstopdefaults
                      ), sets the default property values to use for
                      elements of
                      contourcarpet.colorbar.tickformatstops
                  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 plot.ly 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 plot.ly for
                      tickvals .
                  tickwidth
                      Sets the tick width (in px).
                  title
                      plotly.graph_objs.contourcarpet.colorbar.Title
                      instance or dict with compatible properties
                  titlefont
                      Deprecated: Please use
                      contourcarpet.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
                      contourcarpet.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.contourcarpet.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`zmin` and `zmax`.
          Alternatively, `colorscale` may be a palette name string of the
          following list: Greys,YlGnBu,Greens,YlOrRd,Bluered,RdBu,Reds,Bl
          ues,Picnic,Rainbow,Portland,Jet,Hot,Blackbody,Earth,Electric,Vi
          ridis,Cividis.
      
          The 'colorscale' property is a colorscale and may be
          specified as:
            - 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:
                  ['Greys', 'YlGnBu', 'Greens', 'YlOrRd', 'Bluered', 'RdBu',
                  'Reds', 'Blues', 'Picnic', 'Rainbow', 'Portland', 'Jet',
                  'Hot', 'Blackbody', 'Earth', 'Electric', 'Viridis', 'Cividis']
  
          Returns
          -------
          str
          """
          return self['colorscale']
  
      @colorscale.setter
      def colorscale(self, val):
          self['colorscale'] = val
  
      # contours
      # --------
      @property
      def contours(self):
          """
          The 'contours' property is an instance of Contours
          that may be specified as:
            - An instance of plotly.graph_objs.contourcarpet.Contours
            - A dict of string/value properties that will be passed
              to the Contours constructor
      
              Supported dict properties:
                  
                  coloring
                      Determines the coloring method showing the
                      contour values. If "fill", coloring is done
                      evenly between each contour level If "lines",
                      coloring is done on the contour lines. If
                      "none", no coloring is applied on this trace.
                  end
                      Sets the end contour level value. Must be more
                      than `contours.start`
                  labelfont
                      Sets the font used for labeling the contour
                      levels. The default color comes from the lines,
                      if shown. The default family and size come from
                      `layout.font`.
                  labelformat
                      Sets the contour label formatting rule using d3
                      formatting mini-language which is very similar
                      to Python, see: https://github.com/d3/d3-format
                      /blob/master/README.md#locale_format.
                  operation
                      Sets the constraint operation. "=" keeps
                      regions equal to `value` "<" and "<=" keep
                      regions less than `value` ">" and ">=" keep
                      regions greater than `value` "[]", "()", "[)",
                      and "(]" keep regions inside `value[0]` to
                      `value[1]` "][", ")(", "](", ")[" keep regions
                      outside `value[0]` to value[1]` Open vs. closed
                      intervals make no difference to constraint
                      display, but all versions are allowed for
                      consistency with filter transforms.
                  showlabels
                      Determines whether to label the contour lines
                      with their values.
                  showlines
                      Determines whether or not the contour lines are
                      drawn. Has an effect only if
                      `contours.coloring` is set to "fill".
                  size
                      Sets the step between each contour level. Must
                      be positive.
                  start
                      Sets the starting contour level value. Must be
                      less than `contours.end`
                  type
                      If `levels`, the data is represented as a
                      contour plot with multiple levels displayed. If
                      `constraint`, the data is represented as
                      constraints with the invalid region shaded as
                      specified by the `operation` and `value`
                      parameters.
                  value
                      Sets the value or values of the constraint
                      boundary. When `operation` is set to one of the
                      comparison values (=,<,>=,>,<=) "value" is
                      expected to be a number. When `operation` is
                      set to one of the interval values
                      ([],(),[),(],][,)(,](,)[) "value" is expected
                      to be an array of two numbers where the first
                      is the lower bound and the second is the upper
                      bound.
  
          Returns
          -------
          plotly.graph_objs.contourcarpet.Contours
          """
          return self['contours']
  
      @contours.setter
      def contours(self, val):
          self['contours'] = 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 plot.ly 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
  
      # da
      # --
      @property
      def da(self):
          """
          Sets the x coordinate step. See `x0` for more info.
      
          The 'da' property is a number and may be specified as:
            - An int or float
  
          Returns
          -------
          int|float
          """
          return self['da']
  
      @da.setter
      def da(self, val):
          self['da'] = val
  
      # db
      # --
      @property
      def db(self):
          """
          Sets the y coordinate step. See `y0` for more info.
      
          The 'db' property is a number and may be specified as:
            - An int or float
  
          Returns
          -------
          int|float
          """
          return self['db']
  
      @db.setter
      def db(self, val):
          self['db'] = val
  
      # fillcolor
      # ---------
      @property
      def fillcolor(self):
          """
          Sets the fill color if `contours.type` is "constraint".
          Defaults to a half-transparent variant of the line color,
          marker color, or marker line color, whichever is available.
      
          The 'fillcolor' property is a color and may be specified as:
            - A hex string (e.g. '#ff0000')
            - An rgb/rgba string (e.g. 'rgb(255,0,0)')
            - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
            - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
            - A named CSS color:
                  aliceblue, antiquewhite, aqua, aquamarine, azure,
                  beige, bisque, black, blanchedalmond, blue,
                  blueviolet, brown, burlywood, cadetblue,
                  chartreuse, chocolate, coral, cornflowerblue,
                  cornsilk, crimson, cyan, darkblue, darkcyan,
                  darkgoldenrod, darkgray, darkgrey, darkgreen,
                  darkkhaki, darkmagenta, darkolivegreen, darkorange,
                  darkorchid, darkred, darksalmon, darkseagreen,
                  darkslateblue, darkslategray, darkslategrey,
                  darkturquoise, darkviolet, deeppink, deepskyblue,
                  dimgray, dimgrey, dodgerblue, firebrick,
                  floralwhite, forestgreen, fuchsia, gainsboro,
                  ghostwhite, gold, goldenrod, gray, grey, green,
                  greenyellow, honeydew, hotpink, indianred, indigo,
                  ivory, khaki, lavender, lavenderblush, lawngreen,
                  lemonchiffon, lightblue, lightcoral, lightcyan,
                  lightgoldenrodyellow, lightgray, lightgrey,
                  lightgreen, lightpink, lightsalmon, lightseagreen,
                  lightskyblue, lightslategray, lightslategrey,
                  lightsteelblue, lightyellow, lime, limegreen,
                  linen, magenta, maroon, mediumaquamarine,
                  mediumblue, mediumorchid, mediumpurple,
                  mediumseagreen, mediumslateblue, mediumspringgreen,
                  mediumturquoise, mediumvioletred, midnightblue,
                  mintcream, mistyrose, moccasin, navajowhite, navy,
                  oldlace, olive, olivedrab, orange, orangered,
                  orchid, palegoldenrod, palegreen, paleturquoise,
                  palevioletred, papayawhip, peachpuff, peru, pink,
                  plum, powderblue, purple, red, rosybrown,
                  royalblue, saddlebrown, salmon, sandybrown,
                  seagreen, seashell, sienna, silver, skyblue,
                  slateblue, slategray, slategrey, snow, springgreen,
                  steelblue, tan, teal, thistle, tomato, turquoise,
                  violet, wheat, white, whitesmoke, yellow,
                  yellowgreen
            - A number that will be interpreted as a color
              according to contourcarpet.colorscale
  
          Returns
          -------
          str
          """
          return self['fillcolor']
  
      @fillcolor.setter
      def fillcolor(self, val):
          self['fillcolor'] = 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 plot.ly 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 plotly.graph_objs.contourcarpet.Hoverlabel
            - A dict of string/value properties that will be passed
              to the Hoverlabel constructor
      
              Supported dict properties:
                  
                  bgcolor
                      Sets the background color of the hover labels
                      for this trace
                  bgcolorsrc
                      Sets the source reference on plot.ly for
                      bgcolor .
                  bordercolor
                      Sets the border color of the hover labels for
                      this trace.
                  bordercolorsrc
                      Sets the source reference on plot.ly for
                      bordercolor .
                  font
                      Sets the font used in hover labels.
                  namelength
                      Sets the length (in number of characters) of
                      the trace name in the hover labels for this
                      trace. -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 plot.ly for
                      namelength .
  
          Returns
          -------
          plotly.graph_objs.contourcarpet.Hoverlabel
          """
          return self['hoverlabel']
  
      @hoverlabel.setter
      def hoverlabel(self, val):
          self['hoverlabel'] = 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 plot.ly 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
  
      # 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
  
      # line
      # ----
      @property
      def line(self):
          """
          The 'line' property is an instance of Line
          that may be specified as:
            - An instance of plotly.graph_objs.contourcarpet.Line
            - A dict of string/value properties that will be passed
              to the Line constructor
      
              Supported dict properties:
                  
                  color
                      Sets the color of the contour level. Has no if
                      `contours.coloring` is set to "lines".
                  dash
                      Sets the dash style of lines. Set to a dash
                      type string ("solid", "dot", "dash",
                      "longdash", "dashdot", or "longdashdot") or a
                      dash length list in px (eg "5px,10px,2px,2px").
                  smoothing
                      Sets the amount of smoothing for the contour
                      lines, where 0 corresponds to no smoothing.
                  width
                      Sets the line width (in px).
  
          Returns
          -------
          plotly.graph_objs.contourcarpet.Line
          """
          return self['line']
  
      @line.setter
      def line(self, val):
          self['line'] = 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
  
      # ncontours
      # ---------
      @property
      def ncontours(self):
          """
          Sets the maximum number of contour levels. The actual number of
          contours will be chosen automatically to be less than or equal
          to the value of `ncontours`. Has an effect only if
          `autocontour` is True or if `contours.size` is missing.
      
          The 'ncontours' property is a integer and may be specified as:
            - An int (or float that will be cast to an int)
              in the interval [1, 9223372036854775807]
  
          Returns
          -------
          int
          """
          return self['ncontours']
  
      @ncontours.setter
      def ncontours(self, val):
          self['ncontours'] = val
  
      # opacity
      # -------
      @property
      def opacity(self):
          """
          Sets the opacity of the trace.
      
          The 'opacity' property is a number and may be specified as:
            - An int or float in the interval [0, 1]
  
          Returns
          -------
          int|float
          """
          return self['opacity']
  
      @opacity.setter
      def opacity(self, val):
          self['opacity'] = val
  
      # reversescale
      # ------------
      @property
      def reversescale(self):
          """
          Reverses the color mapping if true. If true, `zmin` will
          correspond to the last color in the array and `zmax` 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
  
      # selectedpoints
      # --------------
      @property
      def selectedpoints(self):
          """
          Array containing integer indices of selected points. Has an
          effect only for traces that support selections. Note that an
          empty array means an empty selection where the `unselected` are
          turned on for all points, whereas, any other non-array values
          means no selection all where the `selected` and `unselected`
          styles have no effect.
      
          The 'selectedpoints' property accepts values of any type
  
          Returns
          -------
          Any
          """
          return self['selectedpoints']
  
      @selectedpoints.setter
      def selectedpoints(self, val):
          self['selectedpoints'] = val
  
      # showlegend
      # ----------
      @property
      def showlegend(self):
          """
          Determines whether or not an item corresponding to this trace
          is shown in the legend.
      
          The 'showlegend' property must be specified as a bool
          (either True, or False)
  
          Returns
          -------
          bool
          """
          return self['showlegend']
  
      @showlegend.setter
      def showlegend(self, val):
          self['showlegend'] = val
  
      # showscale
      # ---------
      @property
      def showscale(self):
          """
          Determines whether or not a colorbar is displayed for this
          trace.
      
          The 'showscale' property must be specified as a bool
          (either True, or False)
  
          Returns
          -------
          bool
          """
          return self['showscale']
  
      @showscale.setter
      def showscale(self, val):
          self['showscale'] = val
  
      # stream
      # ------
      @property
      def stream(self):
          """
          The 'stream' property is an instance of Stream
          that may be specified as:
            - An instance of plotly.graph_objs.contourcarpet.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://plot.ly/settings for more details.
  
          Returns
          -------
          plotly.graph_objs.contourcarpet.Stream
          """
          return self['stream']
  
      @stream.setter
      def stream(self, val):
          self['stream'] = val
  
      # text
      # ----
      @property
      def text(self):
          """
          Sets the text elements associated with each z value.
      
          The 'text' property is an array that may be specified as a tuple,
          list, numpy array, or pandas Series
  
          Returns
          -------
          numpy.ndarray
          """
          return self['text']
  
      @text.setter
      def text(self, val):
          self['text'] = val
  
      # textsrc
      # -------
      @property
      def textsrc(self):
          """
          Sets the source reference on plot.ly 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
  
      # transpose
      # ---------
      @property
      def transpose(self):
          """
          Transposes the z data.
      
          The 'transpose' property must be specified as a bool
          (either True, or False)
  
          Returns
          -------
          bool
          """
          return self['transpose']
  
      @transpose.setter
      def transpose(self, val):
          self['transpose'] = val
  
      # uid
      # ---
      @property
      def uid(self):
          """
          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
  
      # 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
  
      # xaxis
      # -----
      @property
      def xaxis(self):
          """
          Sets a reference between this trace's x coordinates and a 2D
          cartesian x axis. If "x" (the default value), the x coordinates
          refer to `layout.xaxis`. If "x2", the x coordinates refer to
          `layout.xaxis2`, and so on.
      
          The 'xaxis' property is an identifier of a particular
          subplot, of type 'x', that may be specified as the string 'x'
          optionally followed by an integer >= 1
          (e.g. 'x', 'x1', 'x2', 'x3', etc.)
  
          Returns
          -------
          str
          """
          return self['xaxis']
  
      @xaxis.setter
      def xaxis(self, val):
          self['xaxis'] = val
  
      # yaxis
      # -----
      @property
      def yaxis(self):
          """
          Sets a reference between this trace's y coordinates and a 2D
          cartesian y axis. If "y" (the default value), the y coordinates
          refer to `layout.yaxis`. If "y2", the y coordinates refer to
          `layout.yaxis2`, and so on.
      
          The 'yaxis' property is an identifier of a particular
          subplot, of type 'y', that may be specified as the string 'y'
          optionally followed by an integer >= 1
          (e.g. 'y', 'y1', 'y2', 'y3', etc.)
  
          Returns
          -------
          str
          """
          return self['yaxis']
  
      @yaxis.setter
      def yaxis(self, val):
          self['yaxis'] = val
  
      # z
      # -
      @property
      def z(self):
          """
          Sets the z data.
      
          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
  
      # zauto
      # -----
      @property
      def zauto(self):
          """
          Determines whether or not the color domain is computed with
          respect to the input data (here in `z`) or the bounds set in
          `zmin` and `zmax`  Defaults to `false` when `zmin` and `zmax`
          are set by the user.
      
          The 'zauto' property must be specified as a bool
          (either True, or False)
  
          Returns
          -------
          bool
          """
          return self['zauto']
  
      @zauto.setter
      def zauto(self, val):
          self['zauto'] = val
  
      # zmax
      # ----
      @property
      def zmax(self):
          """
          Sets the upper bound of the color domain. Value should have the
          same units as in `z` and if set, `zmin` must be set as well.
      
          The 'zmax' property is a number and may be specified as:
            - An int or float
  
          Returns
          -------
          int|float
          """
          return self['zmax']
  
      @zmax.setter
      def zmax(self, val):
          self['zmax'] = val
  
      # zmin
      # ----
      @property
      def zmin(self):
          """
          Sets the lower bound of the color domain. Value should have the
          same units as in `z` and if set, `zmax` must be set as well.
      
          The 'zmin' property is a number and may be specified as:
            - An int or float
  
          Returns
          -------
          int|float
          """
          return self['zmin']
  
      @zmin.setter
      def zmin(self, val):
          self['zmin'] = val
  
      # zsrc
      # ----
      @property
      def zsrc(self):
          """
          Sets the source reference on plot.ly 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']
  
      # property parent name
      # --------------------
      @property
      def _parent_path_str(self):
          return ''
  
      # Self properties description
      # ---------------------------
      @property
      def _prop_descriptions(self):
          return """\
          a
              Sets the x coordinates.
          a0
              Alternate to `x`. Builds a linear space of x
              coordinates. Use with `dx` where `x0` is the starting
              coordinate and `dx` the step.
          asrc
              Sets the source reference on plot.ly for  a .
          atype
              If "array", the heatmap's x coordinates are given by
              "x" (the default behavior when `x` is provided). If
              "scaled", the heatmap's x coordinates are given by "x0"
              and "dx" (the default behavior when `x` is not
              provided).
          autocolorscale
              Determines whether the colorscale is a default palette
              (`autocolorscale: true`) or the palette determined by
              `colorscale`. In case `colorscale` is unspecified or
              `autocolorscale` is true, the default  palette will be
              chosen according to whether numbers in the `color`
              array are all positive, all negative or mixed.
          autocontour
              Determines whether or not the contour level attributes
              are picked by an algorithm. If True, the number of
              contour levels can be set in `ncontours`. If False, set
              the contour level attributes in `contours`.
          b
              Sets the y coordinates.
          b0
              Alternate to `y`. Builds a linear space of y
              coordinates. Use with `dy` where `y0` is the starting
              coordinate and `dy` the step.
          bsrc
              Sets the source reference on plot.ly for  b .
          btype
              If "array", the heatmap's y coordinates are given by
              "y" (the default behavior when `y` is provided) If
              "scaled", the heatmap's y coordinates are given by "y0"
              and "dy" (the default behavior when `y` is not
              provided)
          carpet
              The `carpet` of the carpet axes on which this contour
              trace lies
          colorbar
              plotly.graph_objs.contourcarpet.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`zmin` and `zmax`.
              Alternatively, `colorscale` may be a palette name
              string of the following list: Greys,YlGnBu,Greens,YlOrR
              d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
              ot,Blackbody,Earth,Electric,Viridis,Cividis.
          contours
              plotly.graph_objs.contourcarpet.Contours 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 plot.ly for  customdata .
          da
              Sets the x coordinate step. See `x0` for more info.
          db
              Sets the y coordinate step. See `y0` for more info.
          fillcolor
              Sets the fill color if `contours.type` is "constraint".
              Defaults to a half-transparent variant of the line
              color, marker color, or marker line color, whichever is
              available.
          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 plot.ly for  hoverinfo .
          hoverlabel
              plotly.graph_objs.contourcarpet.Hoverlabel instance or
              dict with compatible properties
          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 plot.ly for  ids .
          legendgroup
              Sets the legend group for this trace. Traces part of
              the same legend group hide/show at the same time when
              toggling legend items.
          line
              plotly.graph_objs.contourcarpet.Line instance or dict
              with compatible properties
          name
              Sets the trace name. The trace name appear as the
              legend item and on hover.
          ncontours
              Sets the maximum number of contour levels. The actual
              number of contours will be chosen automatically to be
              less than or equal to the value of `ncontours`. Has an
              effect only if `autocontour` is True or if
              `contours.size` is missing.
          opacity
              Sets the opacity of the trace.
          reversescale
              Reverses the color mapping if true. If true, `zmin`
              will correspond to the last color in the array and
              `zmax` will correspond to the first color.
          selectedpoints
              Array containing integer indices of selected points.
              Has an effect only for traces that support selections.
              Note that an empty array means an empty selection where
              the `unselected` are turned on for all points, whereas,
              any other non-array values means no selection all where
              the `selected` and `unselected` styles have no effect.
          showlegend
              Determines whether or not an item corresponding to this
              trace is shown in the legend.
          showscale
              Determines whether or not a colorbar is displayed for
              this trace.
          stream
              plotly.graph_objs.contourcarpet.Stream instance or dict
              with compatible properties
          text
              Sets the text elements associated with each z value.
          textsrc
              Sets the source reference on plot.ly for  text .
          transpose
              Transposes the z data.
          uid
  
          uirevision
              Controls persistence of some user-driven changes to the
              trace: `constraintrange` in `parcoords` traces, as well
              as some `editable: true` modifications such as `name`
              and `colorbar.title`. Defaults to `layout.uirevision`.
              Note that other user-driven trace attribute changes are
              controlled by `layout` attributes: `trace.visible` is
              controlled by `layout.legend.uirevision`,
              `selectedpoints` is controlled by
              `layout.selectionrevision`, and `colorbar.(x|y)`
              (accessible with `config: {editable: true}`) is
              controlled by `layout.editrevision`. Trace changes are
              tracked by `uid`, which only falls back on trace index
              if no `uid` is provided. So if your app can add/remove
              traces before the end of the `data` array, such that
              the same trace has a different index, you can still
              preserve user-driven changes if you give each trace a
              `uid` that stays with it as it moves.
          visible
              Determines whether or not this trace is visible. If
              "legendonly", the trace is not drawn, but can appear as
              a legend item (provided that the legend itself is
              visible).
          xaxis
              Sets a reference between this trace's x coordinates and
              a 2D cartesian x axis. If "x" (the default value), the
              x coordinates refer to `layout.xaxis`. If "x2", the x
              coordinates refer to `layout.xaxis2`, and so on.
          yaxis
              Sets a reference between this trace's y coordinates and
              a 2D cartesian y axis. If "y" (the default value), the
              y coordinates refer to `layout.yaxis`. If "y2", the y
              coordinates refer to `layout.yaxis2`, and so on.
          z
              Sets the z data.
          zauto
              Determines whether or not the color domain is computed
              with respect to the input data (here in `z`) or the
              bounds set in `zmin` and `zmax`  Defaults to `false`
              when `zmin` and `zmax` are set by the user.
          zmax
              Sets the upper bound of the color domain. Value should
              have the same units as in `z` and if set, `zmin` must
              be set as well.
          zmin
              Sets the lower bound of the color domain. Value should
              have the same units as in `z` and if set, `zmax` must
              be set as well.
          zsrc
              Sets the source reference on plot.ly for  z .
          """
  
      def __init__(
          self,
          arg=None,
          a=None,
          a0=None,
          asrc=None,
          atype=None,
          autocolorscale=None,
          autocontour=None,
          b=None,
          b0=None,
          bsrc=None,
          btype=None,
          carpet=None,
          colorbar=None,
          colorscale=None,
          contours=None,
          customdata=None,
          customdatasrc=None,
          da=None,
          db=None,
          fillcolor=None,
          hoverinfo=None,
          hoverinfosrc=None,
          hoverlabel=None,
          ids=None,
          idssrc=None,
          legendgroup=None,
          line=None,
          name=None,
          ncontours=None,
          opacity=None,
          reversescale=None,
          selectedpoints=None,
          showlegend=None,
          showscale=None,
          stream=None,
          text=None,
          textsrc=None,
          transpose=None,
          uid=None,
          uirevision=None,
          visible=None,
          xaxis=None,
          yaxis=None,
          z=None,
          zauto=None,
          zmax=None,
          zmin=None,
          zsrc=None,
          **kwargs
      ):
          """
          Construct a new Contourcarpet object
          
          Plots contours on either the first carpet axis or the carpet
          axis with a matching `carpet` attribute. Data `z` is
          interpreted as matching that of the corresponding carpet axis.
  
          Parameters
          ----------
          arg
              dict of properties compatible with this constructor or
              an instance of plotly.graph_objs.Contourcarpet
          a
              Sets the x coordinates.
          a0
              Alternate to `x`. Builds a linear space of x
              coordinates. Use with `dx` where `x0` is the starting
              coordinate and `dx` the step.
          asrc
              Sets the source reference on plot.ly for  a .
          atype
              If "array", the heatmap's x coordinates are given by
              "x" (the default behavior when `x` is provided). If
              "scaled", the heatmap's x coordinates are given by "x0"
              and "dx" (the default behavior when `x` is not
              provided).
          autocolorscale
              Determines whether the colorscale is a default palette
              (`autocolorscale: true`) or the palette determined by
              `colorscale`. In case `colorscale` is unspecified or
              `autocolorscale` is true, the default  palette will be
              chosen according to whether numbers in the `color`
              array are all positive, all negative or mixed.
          autocontour
              Determines whether or not the contour level attributes
              are picked by an algorithm. If True, the number of
              contour levels can be set in `ncontours`. If False, set
              the contour level attributes in `contours`.
          b
              Sets the y coordinates.
          b0
              Alternate to `y`. Builds a linear space of y
              coordinates. Use with `dy` where `y0` is the starting
              coordinate and `dy` the step.
          bsrc
              Sets the source reference on plot.ly for  b .
          btype
              If "array", the heatmap's y coordinates are given by
              "y" (the default behavior when `y` is provided) If
              "scaled", the heatmap's y coordinates are given by "y0"
              and "dy" (the default behavior when `y` is not
              provided)
          carpet
              The `carpet` of the carpet axes on which this contour
              trace lies
          colorbar
              plotly.graph_objs.contourcarpet.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`zmin` and `zmax`.
              Alternatively, `colorscale` may be a palette name
              string of the following list: Greys,YlGnBu,Greens,YlOrR
              d,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet,H
              ot,Blackbody,Earth,Electric,Viridis,Cividis.
          contours
              plotly.graph_objs.contourcarpet.Contours 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 plot.ly for  customdata .
          da
              Sets the x coordinate step. See `x0` for more info.
          db
              Sets the y coordinate step. See `y0` for more info.
          fillcolor
              Sets the fill color if `contours.type` is "constraint".
              Defaults to a half-transparent variant of the line
              color, marker color, or marker line color, whichever is
              available.
          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 plot.ly for  hoverinfo .
          hoverlabel
              plotly.graph_objs.contourcarpet.Hoverlabel instance or
              dict with compatible properties
          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 plot.ly for  ids .
          legendgroup
              Sets the legend group for this trace. Traces part of
              the same legend group hide/show at the same time when
              toggling legend items.
          line
              plotly.graph_objs.contourcarpet.Line instance or dict
              with compatible properties
          name
              Sets the trace name. The trace name appear as the
              legend item and on hover.
          ncontours
              Sets the maximum number of contour levels. The actual
              number of contours will be chosen automatically to be
              less than or equal to the value of `ncontours`. Has an
              effect only if `autocontour` is True or if
              `contours.size` is missing.
          opacity
              Sets the opacity of the trace.
          reversescale
              Reverses the color mapping if true. If true, `zmin`
              will correspond to the last color in the array and
              `zmax` will correspond to the first color.
          selectedpoints
              Array containing integer indices of selected points.
              Has an effect only for traces that support selections.
              Note that an empty array means an empty selection where
              the `unselected` are turned on for all points, whereas,
              any other non-array values means no selection all where
              the `selected` and `unselected` styles have no effect.
          showlegend
              Determines whether or not an item corresponding to this
              trace is shown in the legend.
          showscale
              Determines whether or not a colorbar is displayed for
              this trace.
          stream
              plotly.graph_objs.contourcarpet.Stream instance or dict
              with compatible properties
          text
              Sets the text elements associated with each z value.
          textsrc
              Sets the source reference on plot.ly for  text .
          transpose
              Transposes the z data.
          uid
  
          uirevision
              Controls persistence of some user-driven changes to the
              trace: `constraintrange` in `parcoords` traces, as well
              as some `editable: true` modifications such as `name`
              and `colorbar.title`. Defaults to `layout.uirevision`.
              Note that other user-driven trace attribute changes are
              controlled by `layout` attributes: `trace.visible` is
              controlled by `layout.legend.uirevision`,
              `selectedpoints` is controlled by
              `layout.selectionrevision`, and `colorbar.(x|y)`
              (accessible with `config: {editable: true}`) is
              controlled by `layout.editrevision`. Trace changes are
              tracked by `uid`, which only falls back on trace index
              if no `uid` is provided. So if your app can add/remove
              traces before the end of the `data` array, such that
              the same trace has a different index, you can still
              preserve user-driven changes if you give each trace a
              `uid` that stays with it as it moves.
          visible
              Determines whether or not this trace is visible. If
              "legendonly", the trace is not drawn, but can appear as
              a legend item (provided that the legend itself is
              visible).
          xaxis
              Sets a reference between this trace's x coordinates and
              a 2D cartesian x axis. If "x" (the default value), the
              x coordinates refer to `layout.xaxis`. If "x2", the x
              coordinates refer to `layout.xaxis2`, and so on.
          yaxis
              Sets a reference between this trace's y coordinates and
              a 2D cartesian y axis. If "y" (the default value), the
              y coordinates refer to `layout.yaxis`. If "y2", the y
              coordinates refer to `layout.yaxis2`, and so on.
          z
              Sets the z data.
          zauto
              Determines whether or not the color domain is computed
              with respect to the input data (here in `z`) or the
              bounds set in `zmin` and `zmax`  Defaults to `false`
              when `zmin` and `zmax` are set by the user.
          zmax
              Sets the upper bound of the color domain. Value should
              have the same units as in `z` and if set, `zmin` must
              be set as well.
          zmin
              Sets the lower bound of the color domain. Value should
              have the same units as in `z` and if set, `zmax` must
              be set as well.
          zsrc
              Sets the source reference on plot.ly for  z .
  
          Returns
          -------
          Contourcarpet
          """
          super(Contourcarpet, self).__init__('contourcarpet')
  
          # 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.Contourcarpet 
  constructor must be a dict or 
  an instance of plotly.graph_objs.Contourcarpet"""
              )
  
          # Handle skip_invalid
          # -------------------
          self._skip_invalid = kwargs.pop('skip_invalid', False)
  
          # Import validators
          # -----------------
          from plotly.validators import (contourcarpet as v_contourcarpet)
  
          # Initialize validators
          # ---------------------
          self._validators['a'] = v_contourcarpet.AValidator()
          self._validators['a0'] = v_contourcarpet.A0Validator()
          self._validators['asrc'] = v_contourcarpet.AsrcValidator()
          self._validators['atype'] = v_contourcarpet.AtypeValidator()
          self._validators['autocolorscale'
                          ] = v_contourcarpet.AutocolorscaleValidator()
          self._validators['autocontour'
                          ] = v_contourcarpet.AutocontourValidator()
          self._validators['b'] = v_contourcarpet.BValidator()
          self._validators['b0'] = v_contourcarpet.B0Validator()
          self._validators['bsrc'] = v_contourcarpet.BsrcValidator()
          self._validators['btype'] = v_contourcarpet.BtypeValidator()
          self._validators['carpet'] = v_contourcarpet.CarpetValidator()
          self._validators['colorbar'] = v_contourcarpet.ColorBarValidator()
          self._validators['colorscale'] = v_contourcarpet.ColorscaleValidator()
          self._validators['contours'] = v_contourcarpet.ContoursValidator()
          self._validators['customdata'] = v_contourcarpet.CustomdataValidator()
          self._validators['customdatasrc'
                          ] = v_contourcarpet.CustomdatasrcValidator()
          self._validators['da'] = v_contourcarpet.DaValidator()
          self._validators['db'] = v_contourcarpet.DbValidator()
          self._validators['fillcolor'] = v_contourcarpet.FillcolorValidator()
          self._validators['hoverinfo'] = v_contourcarpet.HoverinfoValidator()
          self._validators['hoverinfosrc'
                          ] = v_contourcarpet.HoverinfosrcValidator()
          self._validators['hoverlabel'] = v_contourcarpet.HoverlabelValidator()
          self._validators['ids'] = v_contourcarpet.IdsValidator()
          self._validators['idssrc'] = v_contourcarpet.IdssrcValidator()
          self._validators['legendgroup'
                          ] = v_contourcarpet.LegendgroupValidator()
          self._validators['line'] = v_contourcarpet.LineValidator()
          self._validators['name'] = v_contourcarpet.NameValidator()
          self._validators['ncontours'] = v_contourcarpet.NcontoursValidator()
          self._validators['opacity'] = v_contourcarpet.OpacityValidator()
          self._validators['reversescale'
                          ] = v_contourcarpet.ReversescaleValidator()
          self._validators['selectedpoints'
                          ] = v_contourcarpet.SelectedpointsValidator()
          self._validators['showlegend'] = v_contourcarpet.ShowlegendValidator()
          self._validators['showscale'] = v_contourcarpet.ShowscaleValidator()
          self._validators['stream'] = v_contourcarpet.StreamValidator()
          self._validators['text'] = v_contourcarpet.TextValidator()
          self._validators['textsrc'] = v_contourcarpet.TextsrcValidator()
          self._validators['transpose'] = v_contourcarpet.TransposeValidator()
          self._validators['uid'] = v_contourcarpet.UidValidator()
          self._validators['uirevision'] = v_contourcarpet.UirevisionValidator()
          self._validators['visible'] = v_contourcarpet.VisibleValidator()
          self._validators['xaxis'] = v_contourcarpet.XAxisValidator()
          self._validators['yaxis'] = v_contourcarpet.YAxisValidator()
          self._validators['z'] = v_contourcarpet.ZValidator()
          self._validators['zauto'] = v_contourcarpet.ZautoValidator()
          self._validators['zmax'] = v_contourcarpet.ZmaxValidator()
          self._validators['zmin'] = v_contourcarpet.ZminValidator()
          self._validators['zsrc'] = v_contourcarpet.ZsrcValidator()
  
          # Populate data dict with properties
          # ----------------------------------
          _v = arg.pop('a', None)
          self['a'] = a if a is not None else _v
          _v = arg.pop('a0', None)
          self['a0'] = a0 if a0 is not None else _v
          _v = arg.pop('asrc', None)
          self['asrc'] = asrc if asrc is not None else _v
          _v = arg.pop('atype', None)
          self['atype'] = atype if atype is not None else _v
          _v = arg.pop('autocolorscale', None)
          self['autocolorscale'
              ] = autocolorscale if autocolorscale is not None else _v
          _v = arg.pop('autocontour', None)
          self['autocontour'] = autocontour if autocontour is not None else _v
          _v = arg.pop('b', None)
          self['b'] = b if b is not None else _v
          _v = arg.pop('b0', None)
          self['b0'] = b0 if b0 is not None else _v
          _v = arg.pop('bsrc', None)
          self['bsrc'] = bsrc if bsrc is not None else _v
          _v = arg.pop('btype', None)
          self['btype'] = btype if btype is not None else _v
          _v = arg.pop('carpet', None)
          self['carpet'] = carpet if carpet is not None else _v
          _v = arg.pop('colorbar', None)
          self['colorbar'] = colorbar if colorbar is not None else _v
          _v = arg.pop('colorscale', None)
          self['colorscale'] = colorscale if colorscale is not None else _v
          _v = arg.pop('contours', None)
          self['contours'] = contours if contours is not None else _v
          _v = arg.pop('customdata', None)
          self['customdata'] = customdata if customdata is not None else _v
          _v = arg.pop('customdatasrc', None)
          self['customdatasrc'
              ] = customdatasrc if customdatasrc is not None else _v
          _v = arg.pop('da', None)
          self['da'] = da if da is not None else _v
          _v = arg.pop('db', None)
          self['db'] = db if db is not None else _v
          _v = arg.pop('fillcolor', None)
          self['fillcolor'] = fillcolor if fillcolor is not None else _v
          _v = arg.pop('hoverinfo', None)
          self['hoverinfo'] = hoverinfo if hoverinfo is not None else _v
          _v = arg.pop('hoverinfosrc', None)
          self['hoverinfosrc'] = hoverinfosrc if hoverinfosrc is not None else _v
          _v = arg.pop('hoverlabel', None)
          self['hoverlabel'] = hoverlabel if hoverlabel is not None else _v
          _v = arg.pop('ids', None)
          self['ids'] = ids if ids is not None else _v
          _v = arg.pop('idssrc', None)
          self['idssrc'] = idssrc if idssrc is not None else _v
          _v = arg.pop('legendgroup', None)
          self['legendgroup'] = legendgroup if legendgroup is not None else _v
          _v = arg.pop('line', None)
          self['line'] = line if line is not None else _v
          _v = arg.pop('name', None)
          self['name'] = name if name is not None else _v
          _v = arg.pop('ncontours', None)
          self['ncontours'] = ncontours if ncontours is not None else _v
          _v = arg.pop('opacity', None)
          self['opacity'] = opacity if opacity is not None else _v
          _v = arg.pop('reversescale', None)
          self['reversescale'] = reversescale if reversescale is not None else _v
          _v = arg.pop('selectedpoints', None)
          self['selectedpoints'
              ] = selectedpoints if selectedpoints is not None else _v
          _v = arg.pop('showlegend', None)
          self['showlegend'] = showlegend if showlegend is not None else _v
          _v = arg.pop('showscale', None)
          self['showscale'] = showscale if showscale is not None else _v
          _v = arg.pop('stream', None)
          self['stream'] = stream if stream is not None else _v
          _v = arg.pop('text', None)
          self['text'] = text if text is not None else _v
          _v = arg.pop('textsrc', None)
          self['textsrc'] = textsrc if textsrc is not None else _v
          _v = arg.pop('transpose', None)
          self['transpose'] = transpose if transpose is not None else _v
          _v = arg.pop('uid', None)
          self['uid'] = uid if uid is not None else _v
          _v = arg.pop('uirevision', None)
          self['uirevision'] = uirevision if uirevision is not None else _v
          _v = arg.pop('visible', None)
          self['visible'] = visible if visible is not None else _v
          _v = arg.pop('xaxis', None)
          self['xaxis'] = xaxis if xaxis is not None else _v
          _v = arg.pop('yaxis', None)
          self['yaxis'] = yaxis if yaxis is not None else _v
          _v = arg.pop('z', None)
          self['z'] = z if z is not None else _v
          _v = arg.pop('zauto', None)
          self['zauto'] = zauto if zauto is not None else _v
          _v = arg.pop('zmax', None)
          self['zmax'] = zmax if zmax is not None else _v
          _v = arg.pop('zmin', None)
          self['zmin'] = zmin if zmin is not None else _v
          _v = arg.pop('zsrc', None)
          self['zsrc'] = zsrc if zsrc is not None else _v
  
          # Read-only literals
          # ------------------
          from _plotly_utils.basevalidators import LiteralValidator
          self._props['type'] = 'contourcarpet'
          self._validators['type'] = LiteralValidator(
              plotly_name='type',
              parent_name='contourcarpet',
              val='contourcarpet'
          )
          arg.pop('type', None)
  
          # Process unknown kwargs
          # ----------------------
          self._process_kwargs(**dict(arg, **kwargs))
  
          # Reset skip_invalid
          # ------------------
          self._skip_invalid = False
  