from plotly.basedatatypes import BaseTraceType as _BaseTraceType
import copy as _copy


class Scatterternary(_BaseTraceType):

    # class properties
    # --------------------
    _parent_path_str = ""
    _path_str = "scatterternary"
    _valid_props = {
        "a",
        "asrc",
        "b",
        "bsrc",
        "c",
        "cliponaxis",
        "connectgaps",
        "csrc",
        "customdata",
        "customdatasrc",
        "fill",
        "fillcolor",
        "hoverinfo",
        "hoverinfosrc",
        "hoverlabel",
        "hoveron",
        "hovertemplate",
        "hovertemplatesrc",
        "hovertext",
        "hovertextsrc",
        "ids",
        "idssrc",
        "legendgroup",
        "line",
        "marker",
        "meta",
        "metasrc",
        "mode",
        "name",
        "opacity",
        "selected",
        "selectedpoints",
        "showlegend",
        "stream",
        "subplot",
        "sum",
        "text",
        "textfont",
        "textposition",
        "textpositionsrc",
        "textsrc",
        "texttemplate",
        "texttemplatesrc",
        "type",
        "uid",
        "uirevision",
        "unselected",
        "visible",
    }

    # a
    # -
    @property
    def a(self):
        """
        Sets the quantity of component `a` in each data point. If `a`,
        `b`, and `c` are all provided, they need not be normalized,
        only the relative values matter. If only two arrays are
        provided they must be normalized to match `ternary<i>.sum`.
    
        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

    # asrc
    # ----
    @property
    def asrc(self):
        """
        Sets the source reference on Chart Studio Cloud 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

    # b
    # -
    @property
    def b(self):
        """
        Sets the quantity of component `a` in each data point. If `a`,
        `b`, and `c` are all provided, they need not be normalized,
        only the relative values matter. If only two arrays are
        provided they must be normalized to match `ternary<i>.sum`.
    
        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

    # bsrc
    # ----
    @property
    def bsrc(self):
        """
        Sets the source reference on Chart Studio Cloud 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

    # c
    # -
    @property
    def c(self):
        """
        Sets the quantity of component `a` in each data point. If `a`,
        `b`, and `c` are all provided, they need not be normalized,
        only the relative values matter. If only two arrays are
        provided they must be normalized to match `ternary<i>.sum`.
    
        The 'c' property is an array that may be specified as a tuple,
        list, numpy array, or pandas Series

        Returns
        -------
        numpy.ndarray
        """
        return self["c"]

    @c.setter
    def c(self, val):
        self["c"] = val

    # cliponaxis
    # ----------
    @property
    def cliponaxis(self):
        """
        Determines whether or not markers and text nodes are clipped
        about the subplot axes. To show markers and text nodes above
        axis lines and tick labels, make sure to set `xaxis.layer` and
        `yaxis.layer` to *below traces*.
    
        The 'cliponaxis' property must be specified as a bool
        (either True, or False)

        Returns
        -------
        bool
        """
        return self["cliponaxis"]

    @cliponaxis.setter
    def cliponaxis(self, val):
        self["cliponaxis"] = val

    # connectgaps
    # -----------
    @property
    def connectgaps(self):
        """
        Determines whether or not gaps (i.e. {nan} or missing values)
        in the provided data arrays are connected.
    
        The 'connectgaps' property must be specified as a bool
        (either True, or False)

        Returns
        -------
        bool
        """
        return self["connectgaps"]

    @connectgaps.setter
    def connectgaps(self, val):
        self["connectgaps"] = val

    # csrc
    # ----
    @property
    def csrc(self):
        """
        Sets the source reference on Chart Studio Cloud for  c .
    
        The 'csrc' property must be specified as a string or
        as a plotly.grid_objs.Column object

        Returns
        -------
        str
        """
        return self["csrc"]

    @csrc.setter
    def csrc(self, val):
        self["csrc"] = 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

    # fill
    # ----
    @property
    def fill(self):
        """
        Sets the area to fill with a solid color. Use with `fillcolor`
        if not "none". scatterternary has a subset of the options
        available to scatter. "toself" connects the endpoints of the
        trace (or each segment of the trace if it has gaps) into a
        closed shape. "tonext" fills the space between two traces if
        one completely encloses the other (eg consecutive contour
        lines), and behaves like "toself" if there is no trace before
        it. "tonext" should not be used if one trace does not enclose
        the other.
    
        The 'fill' property is an enumeration that may be specified as:
          - One of the following enumeration values:
                ['none', 'toself', 'tonext']

        Returns
        -------
        Any
        """
        return self["fill"]

    @fill.setter
    def fill(self, val):
        self["fill"] = val

    # fillcolor
    # ---------
    @property
    def fillcolor(self):
        """
        Sets the fill color. 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, rebeccapurple, saddlebrown, salmon,
                sandybrown, seagreen, seashell, sienna, silver,
                skyblue, slateblue, slategray, slategrey, snow,
                springgreen, steelblue, tan, teal, thistle, tomato,
                turquoise, violet, wheat, white, whitesmoke,
                yellow, yellowgreen

        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 ['a', 'b', 'c', 'text', 'name'] joined with '+' characters
            (e.g. 'a+b')
            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.scatterternary.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.scatterternary.Hoverlabel
        """
        return self["hoverlabel"]

    @hoverlabel.setter
    def hoverlabel(self, val):
        self["hoverlabel"] = val

    # hoveron
    # -------
    @property
    def hoveron(self):
        """
        Do the hover effects highlight individual points (markers or
        line points) or do they highlight filled regions? If the fill
        is "toself" or "tonext" and there are no markers or text, then
        the default is "fills", otherwise it is "points".
    
        The 'hoveron' property is a flaglist and may be specified
        as a string containing:
          - Any combination of ['points', 'fills'] joined with '+' characters
            (e.g. 'points+fills')

        Returns
        -------
        Any
        """
        return self["hoveron"]

    @hoveron.setter
    def hoveron(self, val):
        self["hoveron"] = 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}". Numbers are formatted using d3-format's syntax
        %{variable:d3-format}, for example "Price: %{y:$.2f}".
        https://github.com/d3/d3-3.x-api-
        reference/blob/master/Formatting.md#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#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):
        """
        Sets hover text elements associated with each (a,b,c) point. If
        a single string, the same string appears over all the data
        points. If an array of strings, the items are mapped in order
        to the the data points in (a,b,c). To be seen, trace
        `hoverinfo` must contain a "text" flag.
    
        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

    # 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 :class:`plotly.graph_objs.scatterternary.Line`
          - A dict of string/value properties that will be passed
            to the Line constructor
    
            Supported dict properties:
                
                color
                    Sets the line color.
                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").
                shape
                    Determines the line shape. With "spline" the
                    lines are drawn using spline interpolation. The
                    other available values correspond to step-wise
                    line shapes.
                smoothing
                    Has an effect only if `shape` is set to
                    "spline" Sets the amount of smoothing. 0
                    corresponds to no smoothing (equivalent to a
                    "linear" shape).
                width
                    Sets the line width (in px).

        Returns
        -------
        plotly.graph_objs.scatterternary.Line
        """
        return self["line"]

    @line.setter
    def line(self, val):
        self["line"] = val

    # marker
    # ------
    @property
    def marker(self):
        """
        The 'marker' property is an instance of Marker
        that may be specified as:
          - An instance of :class:`plotly.graph_objs.scatterternary.Marker`
          - A dict of string/value properties that will be passed
            to the Marker constructor
    
            Supported dict properties:
                
                autocolorscale
                    Determines whether the colorscale is a default
                    palette (`autocolorscale: true`) or the palette
                    determined by `marker.colorscale`. Has an
                    effect only if in `marker.color`is set to a
                    numerical array. In case `colorscale` is
                    unspecified or `autocolorscale` is true, the
                    default  palette will be chosen according to
                    whether numbers in the `color` array are all
                    positive, all negative or mixed.
                cauto
                    Determines whether or not the color domain is
                    computed with respect to the input data (here
                    in `marker.color`) or the bounds set in
                    `marker.cmin` and `marker.cmax`  Has an effect
                    only if in `marker.color`is set to a numerical
                    array. Defaults to `false` when `marker.cmin`
                    and `marker.cmax` are set by the user.
                cmax
                    Sets the upper bound of the color domain. Has
                    an effect only if in `marker.color`is set to a
                    numerical array. Value should have the same
                    units as in `marker.color` and if set,
                    `marker.cmin` must be set as well.
                cmid
                    Sets the mid-point of the color domain by
                    scaling `marker.cmin` and/or `marker.cmax` to
                    be equidistant to this point. Has an effect
                    only if in `marker.color`is set to a numerical
                    array. Value should have the same units as in
                    `marker.color`. Has no effect when
                    `marker.cauto` is `false`.
                cmin
                    Sets the lower bound of the color domain. Has
                    an effect only if in `marker.color`is set to a
                    numerical array. Value should have the same
                    units as in `marker.color` and if set,
                    `marker.cmax` must be set as well.
                color
                    Sets themarkercolor. It accepts either a
                    specific color or an array of numbers that are
                    mapped to the colorscale relative to the max
                    and min values of the array or relative to
                    `marker.cmin` and `marker.cmax` if set.
                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.scatterternary.mar
                    ker.ColorBar` instance or dict with compatible
                    properties
                colorscale
                    Sets the colorscale. Has an effect only if in
                    `marker.color`is set to a numerical array. 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`marker.cmin` and
                    `marker.cmax`. 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,E
                    arth,Electric,Viridis,Cividis.
                colorsrc
                    Sets the source reference on Chart Studio Cloud
                    for  color .
                gradient
                    :class:`plotly.graph_objects.scatterternary.mar
                    ker.Gradient` instance or dict with compatible
                    properties
                line
                    :class:`plotly.graph_objects.scatterternary.mar
                    ker.Line` instance or dict with compatible
                    properties
                maxdisplayed
                    Sets a maximum number of points to be drawn on
                    the graph. 0 corresponds to no limit.
                opacity
                    Sets the marker opacity.
                opacitysrc
                    Sets the source reference on Chart Studio Cloud
                    for  opacity .
                reversescale
                    Reverses the color mapping if true. Has an
                    effect only if in `marker.color`is set to a
                    numerical array. If true, `marker.cmin` will
                    correspond to the last color in the array and
                    `marker.cmax` will correspond to the first
                    color.
                showscale
                    Determines whether or not a colorbar is
                    displayed for this trace. Has an effect only if
                    in `marker.color`is set to a numerical array.
                size
                    Sets the marker size (in px).
                sizemin
                    Has an effect only if `marker.size` is set to a
                    numerical array. Sets the minimum size (in px)
                    of the rendered marker points.
                sizemode
                    Has an effect only if `marker.size` is set to a
                    numerical array. Sets the rule for which the
                    data in `size` is converted to pixels.
                sizeref
                    Has an effect only if `marker.size` is set to a
                    numerical array. Sets the scale factor used to
                    determine the rendered size of marker points.
                    Use with `sizemin` and `sizemode`.
                sizesrc
                    Sets the source reference on Chart Studio Cloud
                    for  size .
                symbol
                    Sets the marker symbol type. Adding 100 is
                    equivalent to appending "-open" to a symbol
                    name. Adding 200 is equivalent to appending
                    "-dot" to a symbol name. Adding 300 is
                    equivalent to appending "-open-dot" or "dot-
                    open" to a symbol name.
                symbolsrc
                    Sets the source reference on Chart Studio Cloud
                    for  symbol .

        Returns
        -------
        plotly.graph_objs.scatterternary.Marker
        """
        return self["marker"]

    @marker.setter
    def marker(self, val):
        self["marker"] = 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

    # mode
    # ----
    @property
    def mode(self):
        """
        Determines the drawing mode for this scatter trace. If the
        provided `mode` includes "text" then the `text` elements appear
        at the coordinates. Otherwise, the `text` elements appear on
        hover. If there are less than 20 points and the trace is not
        stacked then the default is "lines+markers". Otherwise,
        "lines".
    
        The 'mode' property is a flaglist and may be specified
        as a string containing:
          - Any combination of ['lines', 'markers', 'text'] joined with '+' characters
            (e.g. 'lines+markers')
            OR exactly one of ['none'] (e.g. 'none')

        Returns
        -------
        Any
        """
        return self["mode"]

    @mode.setter
    def mode(self, val):
        self["mode"] = 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 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

    # selected
    # --------
    @property
    def selected(self):
        """
        The 'selected' property is an instance of Selected
        that may be specified as:
          - An instance of :class:`plotly.graph_objs.scatterternary.Selected`
          - A dict of string/value properties that will be passed
            to the Selected constructor
    
            Supported dict properties:
                
                marker
                    :class:`plotly.graph_objects.scatterternary.sel
                    ected.Marker` instance or dict with compatible
                    properties
                textfont
                    :class:`plotly.graph_objects.scatterternary.sel
                    ected.Textfont` instance or dict with
                    compatible properties

        Returns
        -------
        plotly.graph_objs.scatterternary.Selected
        """
        return self["selected"]

    @selected.setter
    def selected(self, val):
        self["selected"] = 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

    # 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.scatterternary.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.scatterternary.Stream
        """
        return self["stream"]

    @stream.setter
    def stream(self, val):
        self["stream"] = val

    # subplot
    # -------
    @property
    def subplot(self):
        """
        Sets a reference between this trace's data coordinates and a
        ternary subplot. If "ternary" (the default value), the data
        refer to `layout.ternary`. If "ternary2", the data refer to
        `layout.ternary2`, and so on.
    
        The 'subplot' property is an identifier of a particular
        subplot, of type 'ternary', that may be specified as the string 'ternary'
        optionally followed by an integer >= 1
        (e.g. 'ternary', 'ternary1', 'ternary2', 'ternary3', etc.)

        Returns
        -------
        str
        """
        return self["subplot"]

    @subplot.setter
    def subplot(self, val):
        self["subplot"] = val

    # sum
    # ---
    @property
    def sum(self):
        """
        The number each triplet should sum to, if only two of `a`, `b`,
        and `c` are provided. This overrides `ternary<i>.sum` to
        normalize this specific trace, but does not affect the values
        displayed on the axes. 0 (or missing) means to use
        ternary<i>.sum
    
        The 'sum' property is a number and may be specified as:
          - An int or float in the interval [0, inf]

        Returns
        -------
        int|float
        """
        return self["sum"]

    @sum.setter
    def sum(self, val):
        self["sum"] = val

    # text
    # ----
    @property
    def text(self):
        """
        Sets text elements associated with each (a,b,c) point. If a
        single string, the same string appears over all the data
        points. If an array of strings, the items are mapped in order
        to the the data points in (a,b,c). 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

    # textfont
    # --------
    @property
    def textfont(self):
        """
        Sets the text font.
    
        The 'textfont' property is an instance of Textfont
        that may be specified as:
          - An instance of :class:`plotly.graph_objs.scatterternary.Textfont`
          - A dict of string/value properties that will be passed
            to the Textfont constructor
    
            Supported dict properties:
                
                color
    
                colorsrc
                    Sets the source reference on Chart Studio Cloud
                    for  color .
                family
                    HTML font family - the typeface that will be
                    applied by the web browser. The web browser
                    will only be able to apply a font if it is
                    available on the system which it operates.
                    Provide multiple font families, separated by
                    commas, to indicate the preference in which to
                    apply fonts if they aren't available on the
                    system. The Chart Studio Cloud (at
                    https://chart-studio.plotly.com or on-premise)
                    generates images on a server, where only a
                    select number of fonts are installed and
                    supported. These include "Arial", "Balto",
                    "Courier New", "Droid Sans",, "Droid Serif",
                    "Droid Sans Mono", "Gravitas One", "Old
                    Standard TT", "Open Sans", "Overpass", "PT Sans
                    Narrow", "Raleway", "Times New Roman".
                familysrc
                    Sets the source reference on Chart Studio Cloud
                    for  family .
                size
    
                sizesrc
                    Sets the source reference on Chart Studio Cloud
                    for  size .

        Returns
        -------
        plotly.graph_objs.scatterternary.Textfont
        """
        return self["textfont"]

    @textfont.setter
    def textfont(self, val):
        self["textfont"] = val

    # textposition
    # ------------
    @property
    def textposition(self):
        """
        Sets the positions of the `text` elements with respects to the
        (x,y) coordinates.
    
        The 'textposition' property is an enumeration that may be specified as:
          - One of the following enumeration values:
                ['top left', 'top center', 'top right', 'middle left',
                'middle center', 'middle right', 'bottom left', 'bottom
                center', 'bottom right']
          - A tuple, list, or one-dimensional numpy array of the above

        Returns
        -------
        Any|numpy.ndarray
        """
        return self["textposition"]

    @textposition.setter
    def textposition(self, val):
        self["textposition"] = val

    # textpositionsrc
    # ---------------
    @property
    def textpositionsrc(self):
        """
        Sets the source reference on Chart Studio Cloud for
        textposition .
    
        The 'textpositionsrc' property must be specified as a string or
        as a plotly.grid_objs.Column object

        Returns
        -------
        str
        """
        return self["textpositionsrc"]

    @textpositionsrc.setter
    def textpositionsrc(self, val):
        self["textpositionsrc"] = 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

    # texttemplate
    # ------------
    @property
    def texttemplate(self):
        """
        Template string used for rendering the information text that
        appear on points. Note that this will override `textinfo`.
        Variables are inserted using %{variable}, for example "y:
        %{y}". Numbers are formatted using d3-format's syntax
        %{variable:d3-format}, for example "Price: %{y:$.2f}".
        https://github.com/d3/d3-3.x-api-
        reference/blob/master/Formatting.md#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#locale_format for details on the date formatting syntax.
        Every attributes that can be specified per-point (the ones that
        are `arrayOk: true`) are available. variables `a`, `b`, `c` and
        `text`.
    
        The 'texttemplate' 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["texttemplate"]

    @texttemplate.setter
    def texttemplate(self, val):
        self["texttemplate"] = val

    # texttemplatesrc
    # ---------------
    @property
    def texttemplatesrc(self):
        """
        Sets the source reference on Chart Studio Cloud for
        texttemplate .
    
        The 'texttemplatesrc' property must be specified as a string or
        as a plotly.grid_objs.Column object

        Returns
        -------
        str
        """
        return self["texttemplatesrc"]

    @texttemplatesrc.setter
    def texttemplatesrc(self, val):
        self["texttemplatesrc"] = 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

    # unselected
    # ----------
    @property
    def unselected(self):
        """
        The 'unselected' property is an instance of Unselected
        that may be specified as:
          - An instance of :class:`plotly.graph_objs.scatterternary.Unselected`
          - A dict of string/value properties that will be passed
            to the Unselected constructor
    
            Supported dict properties:
                
                marker
                    :class:`plotly.graph_objects.scatterternary.uns
                    elected.Marker` instance or dict with
                    compatible properties
                textfont
                    :class:`plotly.graph_objects.scatterternary.uns
                    elected.Textfont` instance or dict with
                    compatible properties

        Returns
        -------
        plotly.graph_objs.scatterternary.Unselected
        """
        return self["unselected"]

    @unselected.setter
    def unselected(self, val):
        self["unselected"] = 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

    # type
    # ----
    @property
    def type(self):
        return self._props["type"]

    # Self properties description
    # ---------------------------
    @property
    def _prop_descriptions(self):
        return """\
        a
            Sets the quantity of component `a` in each data point.
            If `a`, `b`, and `c` are all provided, they need not be
            normalized, only the relative values matter. If only
            two arrays are provided they must be normalized to
            match `ternary<i>.sum`.
        asrc
            Sets the source reference on Chart Studio Cloud for  a
            .
        b
            Sets the quantity of component `a` in each data point.
            If `a`, `b`, and `c` are all provided, they need not be
            normalized, only the relative values matter. If only
            two arrays are provided they must be normalized to
            match `ternary<i>.sum`.
        bsrc
            Sets the source reference on Chart Studio Cloud for  b
            .
        c
            Sets the quantity of component `a` in each data point.
            If `a`, `b`, and `c` are all provided, they need not be
            normalized, only the relative values matter. If only
            two arrays are provided they must be normalized to
            match `ternary<i>.sum`.
        cliponaxis
            Determines whether or not markers and text nodes are
            clipped about the subplot axes. To show markers and
            text nodes above axis lines and tick labels, make sure
            to set `xaxis.layer` and `yaxis.layer` to *below
            traces*.
        connectgaps
            Determines whether or not gaps (i.e. {nan} or missing
            values) in the provided data arrays are connected.
        csrc
            Sets the source reference on Chart Studio Cloud for  c
            .
        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 .
        fill
            Sets the area to fill with a solid color. Use with
            `fillcolor` if not "none". scatterternary has a subset
            of the options available to scatter. "toself" connects
            the endpoints of the trace (or each segment of the
            trace if it has gaps) into a closed shape. "tonext"
            fills the space between two traces if one completely
            encloses the other (eg consecutive contour lines), and
            behaves like "toself" if there is no trace before it.
            "tonext" should not be used if one trace does not
            enclose the other.
        fillcolor
            Sets the fill color. 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 Chart Studio Cloud for
            hoverinfo .
        hoverlabel
            :class:`plotly.graph_objects.scatterternary.Hoverlabel`
            instance or dict with compatible properties
        hoveron
            Do the hover effects highlight individual points
            (markers or line points) or do they highlight filled
            regions? If the fill is "toself" or "tonext" and there
            are no markers or text, then the default is "fills",
            otherwise it is "points".
        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}". Numbers are formatted using
            d3-format's syntax %{variable:d3-format}, for example
            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
            reference/blob/master/Formatting.md#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#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
            Sets hover text elements associated with each (a,b,c)
            point. If a single string, the same string appears over
            all the data points. If an array of strings, the items
            are mapped in order to the the data points in (a,b,c).
            To be seen, trace `hoverinfo` must contain a "text"
            flag.
        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 .
        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
            :class:`plotly.graph_objects.scatterternary.Line`
            instance or dict with compatible properties
        marker
            :class:`plotly.graph_objects.scatterternary.Marker`
            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 .
        mode
            Determines the drawing mode for this scatter trace. If
            the provided `mode` includes "text" then the `text`
            elements appear at the coordinates. Otherwise, the
            `text` elements appear on hover. If there are less than
            20 points and the trace is not stacked then the default
            is "lines+markers". Otherwise, "lines".
        name
            Sets the trace name. The trace name appear as the
            legend item and on hover.
        opacity
            Sets the opacity of the trace.
        selected
            :class:`plotly.graph_objects.scatterternary.Selected`
            instance or dict with compatible properties
        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.
        stream
            :class:`plotly.graph_objects.scatterternary.Stream`
            instance or dict with compatible properties
        subplot
            Sets a reference between this trace's data coordinates
            and a ternary subplot. If "ternary" (the default
            value), the data refer to `layout.ternary`. If
            "ternary2", the data refer to `layout.ternary2`, and so
            on.
        sum
            The number each triplet should sum to, if only two of
            `a`, `b`, and `c` are provided. This overrides
            `ternary<i>.sum` to normalize this specific trace, but
            does not affect the values displayed on the axes. 0 (or
            missing) means to use ternary<i>.sum
        text
            Sets text elements associated with each (a,b,c) point.
            If a single string, the same string appears over all
            the data points. If an array of strings, the items are
            mapped in order to the the data points in (a,b,c). If
            trace `hoverinfo` contains a "text" flag and
            "hovertext" is not set, these elements will be seen in
            the hover labels.
        textfont
            Sets the text font.
        textposition
            Sets the positions of the `text` elements with respects
            to the (x,y) coordinates.
        textpositionsrc
            Sets the source reference on Chart Studio Cloud for
            textposition .
        textsrc
            Sets the source reference on Chart Studio Cloud for
            text .
        texttemplate
            Template string used for rendering the information text
            that appear on points. Note that this will override
            `textinfo`. Variables are inserted using %{variable},
            for example "y: %{y}". Numbers are formatted using
            d3-format's syntax %{variable:d3-format}, for example
            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
            reference/blob/master/Formatting.md#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#locale_format for
            details on the date formatting syntax. Every attributes
            that can be specified per-point (the ones that are
            `arrayOk: true`) are available. variables `a`, `b`, `c`
            and `text`.
        texttemplatesrc
            Sets the source reference on Chart Studio Cloud for
            texttemplate .
        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.
        unselected
            :class:`plotly.graph_objects.scatterternary.Unselected`
            instance or dict with compatible properties
        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).
        """

    def __init__(
        self,
        arg=None,
        a=None,
        asrc=None,
        b=None,
        bsrc=None,
        c=None,
        cliponaxis=None,
        connectgaps=None,
        csrc=None,
        customdata=None,
        customdatasrc=None,
        fill=None,
        fillcolor=None,
        hoverinfo=None,
        hoverinfosrc=None,
        hoverlabel=None,
        hoveron=None,
        hovertemplate=None,
        hovertemplatesrc=None,
        hovertext=None,
        hovertextsrc=None,
        ids=None,
        idssrc=None,
        legendgroup=None,
        line=None,
        marker=None,
        meta=None,
        metasrc=None,
        mode=None,
        name=None,
        opacity=None,
        selected=None,
        selectedpoints=None,
        showlegend=None,
        stream=None,
        subplot=None,
        sum=None,
        text=None,
        textfont=None,
        textposition=None,
        textpositionsrc=None,
        textsrc=None,
        texttemplate=None,
        texttemplatesrc=None,
        uid=None,
        uirevision=None,
        unselected=None,
        visible=None,
        **kwargs
    ):
        """
        Construct a new Scatterternary object
        
        Provides similar functionality to the "scatter" type but on a
        ternary phase diagram. The data is provided by at least two
        arrays out of `a`, `b`, `c` triplets.

        Parameters
        ----------
        arg
            dict of properties compatible with this constructor or
            an instance of
            :class:`plotly.graph_objs.Scatterternary`
        a
            Sets the quantity of component `a` in each data point.
            If `a`, `b`, and `c` are all provided, they need not be
            normalized, only the relative values matter. If only
            two arrays are provided they must be normalized to
            match `ternary<i>.sum`.
        asrc
            Sets the source reference on Chart Studio Cloud for  a
            .
        b
            Sets the quantity of component `a` in each data point.
            If `a`, `b`, and `c` are all provided, they need not be
            normalized, only the relative values matter. If only
            two arrays are provided they must be normalized to
            match `ternary<i>.sum`.
        bsrc
            Sets the source reference on Chart Studio Cloud for  b
            .
        c
            Sets the quantity of component `a` in each data point.
            If `a`, `b`, and `c` are all provided, they need not be
            normalized, only the relative values matter. If only
            two arrays are provided they must be normalized to
            match `ternary<i>.sum`.
        cliponaxis
            Determines whether or not markers and text nodes are
            clipped about the subplot axes. To show markers and
            text nodes above axis lines and tick labels, make sure
            to set `xaxis.layer` and `yaxis.layer` to *below
            traces*.
        connectgaps
            Determines whether or not gaps (i.e. {nan} or missing
            values) in the provided data arrays are connected.
        csrc
            Sets the source reference on Chart Studio Cloud for  c
            .
        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 .
        fill
            Sets the area to fill with a solid color. Use with
            `fillcolor` if not "none". scatterternary has a subset
            of the options available to scatter. "toself" connects
            the endpoints of the trace (or each segment of the
            trace if it has gaps) into a closed shape. "tonext"
            fills the space between two traces if one completely
            encloses the other (eg consecutive contour lines), and
            behaves like "toself" if there is no trace before it.
            "tonext" should not be used if one trace does not
            enclose the other.
        fillcolor
            Sets the fill color. 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 Chart Studio Cloud for
            hoverinfo .
        hoverlabel
            :class:`plotly.graph_objects.scatterternary.Hoverlabel`
            instance or dict with compatible properties
        hoveron
            Do the hover effects highlight individual points
            (markers or line points) or do they highlight filled
            regions? If the fill is "toself" or "tonext" and there
            are no markers or text, then the default is "fills",
            otherwise it is "points".
        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}". Numbers are formatted using
            d3-format's syntax %{variable:d3-format}, for example
            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
            reference/blob/master/Formatting.md#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#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
            Sets hover text elements associated with each (a,b,c)
            point. If a single string, the same string appears over
            all the data points. If an array of strings, the items
            are mapped in order to the the data points in (a,b,c).
            To be seen, trace `hoverinfo` must contain a "text"
            flag.
        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 .
        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
            :class:`plotly.graph_objects.scatterternary.Line`
            instance or dict with compatible properties
        marker
            :class:`plotly.graph_objects.scatterternary.Marker`
            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 .
        mode
            Determines the drawing mode for this scatter trace. If
            the provided `mode` includes "text" then the `text`
            elements appear at the coordinates. Otherwise, the
            `text` elements appear on hover. If there are less than
            20 points and the trace is not stacked then the default
            is "lines+markers". Otherwise, "lines".
        name
            Sets the trace name. The trace name appear as the
            legend item and on hover.
        opacity
            Sets the opacity of the trace.
        selected
            :class:`plotly.graph_objects.scatterternary.Selected`
            instance or dict with compatible properties
        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.
        stream
            :class:`plotly.graph_objects.scatterternary.Stream`
            instance or dict with compatible properties
        subplot
            Sets a reference between this trace's data coordinates
            and a ternary subplot. If "ternary" (the default
            value), the data refer to `layout.ternary`. If
            "ternary2", the data refer to `layout.ternary2`, and so
            on.
        sum
            The number each triplet should sum to, if only two of
            `a`, `b`, and `c` are provided. This overrides
            `ternary<i>.sum` to normalize this specific trace, but
            does not affect the values displayed on the axes. 0 (or
            missing) means to use ternary<i>.sum
        text
            Sets text elements associated with each (a,b,c) point.
            If a single string, the same string appears over all
            the data points. If an array of strings, the items are
            mapped in order to the the data points in (a,b,c). If
            trace `hoverinfo` contains a "text" flag and
            "hovertext" is not set, these elements will be seen in
            the hover labels.
        textfont
            Sets the text font.
        textposition
            Sets the positions of the `text` elements with respects
            to the (x,y) coordinates.
        textpositionsrc
            Sets the source reference on Chart Studio Cloud for
            textposition .
        textsrc
            Sets the source reference on Chart Studio Cloud for
            text .
        texttemplate
            Template string used for rendering the information text
            that appear on points. Note that this will override
            `textinfo`. Variables are inserted using %{variable},
            for example "y: %{y}". Numbers are formatted using
            d3-format's syntax %{variable:d3-format}, for example
            "Price: %{y:$.2f}". https://github.com/d3/d3-3.x-api-
            reference/blob/master/Formatting.md#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#locale_format for
            details on the date formatting syntax. Every attributes
            that can be specified per-point (the ones that are
            `arrayOk: true`) are available. variables `a`, `b`, `c`
            and `text`.
        texttemplatesrc
            Sets the source reference on Chart Studio Cloud for
            texttemplate .
        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.
        unselected
            :class:`plotly.graph_objects.scatterternary.Unselected`
            instance or dict with compatible properties
        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).

        Returns
        -------
        Scatterternary
        """
        super(Scatterternary, self).__init__("scatterternary")

        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.Scatterternary 
constructor must be a dict or 
an instance of :class:`plotly.graph_objs.Scatterternary`"""
            )

        # 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("a", None)
        _v = a if a is not None else _v
        if _v is not None:
            self["a"] = _v
        _v = arg.pop("asrc", None)
        _v = asrc if asrc is not None else _v
        if _v is not None:
            self["asrc"] = _v
        _v = arg.pop("b", None)
        _v = b if b is not None else _v
        if _v is not None:
            self["b"] = _v
        _v = arg.pop("bsrc", None)
        _v = bsrc if bsrc is not None else _v
        if _v is not None:
            self["bsrc"] = _v
        _v = arg.pop("c", None)
        _v = c if c is not None else _v
        if _v is not None:
            self["c"] = _v
        _v = arg.pop("cliponaxis", None)
        _v = cliponaxis if cliponaxis is not None else _v
        if _v is not None:
            self["cliponaxis"] = _v
        _v = arg.pop("connectgaps", None)
        _v = connectgaps if connectgaps is not None else _v
        if _v is not None:
            self["connectgaps"] = _v
        _v = arg.pop("csrc", None)
        _v = csrc if csrc is not None else _v
        if _v is not None:
            self["csrc"] = _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("fill", None)
        _v = fill if fill is not None else _v
        if _v is not None:
            self["fill"] = _v
        _v = arg.pop("fillcolor", None)
        _v = fillcolor if fillcolor is not None else _v
        if _v is not None:
            self["fillcolor"] = _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("hoveron", None)
        _v = hoveron if hoveron is not None else _v
        if _v is not None:
            self["hoveron"] = _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("legendgroup", None)
        _v = legendgroup if legendgroup is not None else _v
        if _v is not None:
            self["legendgroup"] = _v
        _v = arg.pop("line", None)
        _v = line if line is not None else _v
        if _v is not None:
            self["line"] = _v
        _v = arg.pop("marker", None)
        _v = marker if marker is not None else _v
        if _v is not None:
            self["marker"] = _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("mode", None)
        _v = mode if mode is not None else _v
        if _v is not None:
            self["mode"] = _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("selected", None)
        _v = selected if selected is not None else _v
        if _v is not None:
            self["selected"] = _v
        _v = arg.pop("selectedpoints", None)
        _v = selectedpoints if selectedpoints is not None else _v
        if _v is not None:
            self["selectedpoints"] = _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("stream", None)
        _v = stream if stream is not None else _v
        if _v is not None:
            self["stream"] = _v
        _v = arg.pop("subplot", None)
        _v = subplot if subplot is not None else _v
        if _v is not None:
            self["subplot"] = _v
        _v = arg.pop("sum", None)
        _v = sum if sum is not None else _v
        if _v is not None:
            self["sum"] = _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("textfont", None)
        _v = textfont if textfont is not None else _v
        if _v is not None:
            self["textfont"] = _v
        _v = arg.pop("textposition", None)
        _v = textposition if textposition is not None else _v
        if _v is not None:
            self["textposition"] = _v
        _v = arg.pop("textpositionsrc", None)
        _v = textpositionsrc if textpositionsrc is not None else _v
        if _v is not None:
            self["textpositionsrc"] = _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("texttemplate", None)
        _v = texttemplate if texttemplate is not None else _v
        if _v is not None:
            self["texttemplate"] = _v
        _v = arg.pop("texttemplatesrc", None)
        _v = texttemplatesrc if texttemplatesrc is not None else _v
        if _v is not None:
            self["texttemplatesrc"] = _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("unselected", None)
        _v = unselected if unselected is not None else _v
        if _v is not None:
            self["unselected"] = _v
        _v = arg.pop("visible", None)
        _v = visible if visible is not None else _v
        if _v is not None:
            self["visible"] = _v

        # Read-only literals
        # ------------------

        self._props["type"] = "scatterternary"
        arg.pop("type", None)

        # Process unknown kwargs
        # ----------------------
        self._process_kwargs(**dict(arg, **kwargs))

        # Reset skip_invalid
        # ------------------
        self._skip_invalid = False
