from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy


class Tickfont(_BaseTraceHierarchyType):

    # color
    # -----
    @property
    def color(self):
        """
        The 'color' property is a color and may be specified as:
          - A hex string (e.g. '#ff0000')
          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
          - A named CSS color:
                aliceblue, antiquewhite, aqua, aquamarine, azure,
                beige, bisque, black, blanchedalmond, blue,
                blueviolet, brown, burlywood, cadetblue,
                chartreuse, chocolate, coral, cornflowerblue,
                cornsilk, crimson, cyan, darkblue, darkcyan,
                darkgoldenrod, darkgray, darkgrey, darkgreen,
                darkkhaki, darkmagenta, darkolivegreen, darkorange,
                darkorchid, darkred, darksalmon, darkseagreen,
                darkslateblue, darkslategray, darkslategrey,
                darkturquoise, darkviolet, deeppink, deepskyblue,
                dimgray, dimgrey, dodgerblue, firebrick,
                floralwhite, forestgreen, fuchsia, gainsboro,
                ghostwhite, gold, goldenrod, gray, grey, green,
                greenyellow, honeydew, hotpink, indianred, indigo,
                ivory, khaki, lavender, lavenderblush, lawngreen,
                lemonchiffon, lightblue, lightcoral, lightcyan,
                lightgoldenrodyellow, lightgray, lightgrey,
                lightgreen, lightpink, lightsalmon, lightseagreen,
                lightskyblue, lightslategray, lightslategrey,
                lightsteelblue, lightyellow, lime, limegreen,
                linen, magenta, maroon, mediumaquamarine,
                mediumblue, mediumorchid, mediumpurple,
                mediumseagreen, mediumslateblue, mediumspringgreen,
                mediumturquoise, mediumvioletred, midnightblue,
                mintcream, mistyrose, moccasin, navajowhite, navy,
                oldlace, olive, olivedrab, orange, orangered,
                orchid, palegoldenrod, palegreen, paleturquoise,
                palevioletred, papayawhip, peachpuff, peru, pink,
                plum, powderblue, purple, red, rosybrown,
                royalblue, rebeccapurple, saddlebrown, salmon,
                sandybrown, seagreen, seashell, sienna, silver,
                skyblue, slateblue, slategray, slategrey, snow,
                springgreen, steelblue, tan, teal, thistle, tomato,
                turquoise, violet, wheat, white, whitesmoke,
                yellow, yellowgreen

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

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

    # family
    # ------
    @property
    def family(self):
        """
        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".
    
        The 'family' property is a string and must be specified as:
          - A non-empty string

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

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

    # size
    # ----
    @property
    def size(self):
        """
        The 'size' property is a number and may be specified as:
          - An int or float in the interval [1, inf]

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

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

    # property parent name
    # --------------------
    @property
    def _parent_path_str(self):
        return "parcats"

    # Self properties description
    # ---------------------------
    @property
    def _prop_descriptions(self):
        return """\
        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".
        size

        """

    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
        """
        Construct a new Tickfont object
        
        Sets the font for the `category` labels.

        Parameters
        ----------
        arg
            dict of properties compatible with this constructor or
            an instance of
            :class:`plotly.graph_objs.parcats.Tickfont`
        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".
        size


        Returns
        -------
        Tickfont
        """
        super(Tickfont, self).__init__("tickfont")

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

        # Handle skip_invalid
        # -------------------
        self._skip_invalid = kwargs.pop("skip_invalid", False)

        # Import validators
        # -----------------
        from plotly.validators.parcats import tickfont as v_tickfont

        # Initialize validators
        # ---------------------
        self._validators["color"] = v_tickfont.ColorValidator()
        self._validators["family"] = v_tickfont.FamilyValidator()
        self._validators["size"] = v_tickfont.SizeValidator()

        # Populate data dict with properties
        # ----------------------------------
        _v = arg.pop("color", None)
        self["color"] = color if color is not None else _v
        _v = arg.pop("family", None)
        self["family"] = family if family is not None else _v
        _v = arg.pop("size", None)
        self["size"] = size if size is not None else _v

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

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


from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy


class Stream(_BaseTraceHierarchyType):

    # maxpoints
    # ---------
    @property
    def maxpoints(self):
        """
        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.
    
        The 'maxpoints' property is a number and may be specified as:
          - An int or float in the interval [0, 10000]

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

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

    # token
    # -----
    @property
    def token(self):
        """
        The stream id number links a data trace on a plot with a
        stream. See https://chart-studio.plotly.com/settings for more
        details.
    
        The 'token' property is a string and must be specified as:
          - A non-empty string

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

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

    # property parent name
    # --------------------
    @property
    def _parent_path_str(self):
        return "parcats"

    # Self properties description
    # ---------------------------
    @property
    def _prop_descriptions(self):
        return """\
        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.
        """

    def __init__(self, arg=None, maxpoints=None, token=None, **kwargs):
        """
        Construct a new Stream object
        
        Parameters
        ----------
        arg
            dict of properties compatible with this constructor or
            an instance of
            :class:`plotly.graph_objs.parcats.Stream`
        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
        -------
        Stream
        """
        super(Stream, self).__init__("stream")

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

        # Handle skip_invalid
        # -------------------
        self._skip_invalid = kwargs.pop("skip_invalid", False)

        # Import validators
        # -----------------
        from plotly.validators.parcats import stream as v_stream

        # Initialize validators
        # ---------------------
        self._validators["maxpoints"] = v_stream.MaxpointsValidator()
        self._validators["token"] = v_stream.TokenValidator()

        # Populate data dict with properties
        # ----------------------------------
        _v = arg.pop("maxpoints", None)
        self["maxpoints"] = maxpoints if maxpoints is not None else _v
        _v = arg.pop("token", None)
        self["token"] = token if token is not None else _v

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

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


from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy


class Line(_BaseTraceHierarchyType):

    # autocolorscale
    # --------------
    @property
    def autocolorscale(self):
        """
        Determines whether the colorscale is a default palette
        (`autocolorscale: true`) or the palette determined by
        `line.colorscale`. Has an effect only if in `line.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.
    
        The 'autocolorscale' property must be specified as a bool
        (either True, or False)

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

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

    # cauto
    # -----
    @property
    def cauto(self):
        """
        Determines whether or not the color domain is computed with
        respect to the input data (here in `line.color`) or the bounds
        set in `line.cmin` and `line.cmax`  Has an effect only if in
        `line.color`is set to a numerical array. Defaults to `false`
        when `line.cmin` and `line.cmax` are set by the user.
    
        The 'cauto' property must be specified as a bool
        (either True, or False)

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

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

    # cmax
    # ----
    @property
    def cmax(self):
        """
        Sets the upper bound of the color domain. Has an effect only if
        in `line.color`is set to a numerical array. Value should have
        the same units as in `line.color` and if set, `line.cmin` must
        be set as well.
    
        The 'cmax' property is a number and may be specified as:
          - An int or float

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

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

    # cmid
    # ----
    @property
    def cmid(self):
        """
        Sets the mid-point of the color domain by scaling `line.cmin`
        and/or `line.cmax` to be equidistant to this point. Has an
        effect only if in `line.color`is set to a numerical array.
        Value should have the same units as in `line.color`. Has no
        effect when `line.cauto` is `false`.
    
        The 'cmid' property is a number and may be specified as:
          - An int or float

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

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

    # cmin
    # ----
    @property
    def cmin(self):
        """
        Sets the lower bound of the color domain. Has an effect only if
        in `line.color`is set to a numerical array. Value should have
        the same units as in `line.color` and if set, `line.cmax` must
        be set as well.
    
        The 'cmin' property is a number and may be specified as:
          - An int or float

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

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

    # color
    # -----
    @property
    def color(self):
        """
        Sets thelinecolor. 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 `line.cmin`
        and `line.cmax` if set.
    
        The 'color' property is a color and may be specified as:
          - A hex string (e.g. '#ff0000')
          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
          - A named CSS color:
                aliceblue, antiquewhite, aqua, aquamarine, azure,
                beige, bisque, black, blanchedalmond, blue,
                blueviolet, brown, burlywood, cadetblue,
                chartreuse, chocolate, coral, cornflowerblue,
                cornsilk, crimson, cyan, darkblue, darkcyan,
                darkgoldenrod, darkgray, darkgrey, darkgreen,
                darkkhaki, darkmagenta, darkolivegreen, darkorange,
                darkorchid, darkred, darksalmon, darkseagreen,
                darkslateblue, darkslategray, darkslategrey,
                darkturquoise, darkviolet, deeppink, deepskyblue,
                dimgray, dimgrey, dodgerblue, firebrick,
                floralwhite, forestgreen, fuchsia, gainsboro,
                ghostwhite, gold, goldenrod, gray, grey, green,
                greenyellow, honeydew, hotpink, indianred, indigo,
                ivory, khaki, lavender, lavenderblush, lawngreen,
                lemonchiffon, lightblue, lightcoral, lightcyan,
                lightgoldenrodyellow, lightgray, lightgrey,
                lightgreen, lightpink, lightsalmon, lightseagreen,
                lightskyblue, lightslategray, lightslategrey,
                lightsteelblue, lightyellow, lime, limegreen,
                linen, magenta, maroon, mediumaquamarine,
                mediumblue, mediumorchid, mediumpurple,
                mediumseagreen, mediumslateblue, mediumspringgreen,
                mediumturquoise, mediumvioletred, midnightblue,
                mintcream, mistyrose, moccasin, navajowhite, navy,
                oldlace, olive, olivedrab, orange, orangered,
                orchid, palegoldenrod, palegreen, paleturquoise,
                palevioletred, papayawhip, peachpuff, peru, pink,
                plum, powderblue, purple, red, rosybrown,
                royalblue, rebeccapurple, saddlebrown, salmon,
                sandybrown, seagreen, seashell, sienna, silver,
                skyblue, slateblue, slategray, slategrey, snow,
                springgreen, steelblue, tan, teal, thistle, tomato,
                turquoise, violet, wheat, white, whitesmoke,
                yellow, yellowgreen
          - A number that will be interpreted as a color
            according to parcats.line.colorscale
          - A list or array of any of the above

        Returns
        -------
        str|numpy.ndarray
        """
        return self["color"]

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

    # coloraxis
    # ---------
    @property
    def coloraxis(self):
        """
        Sets a reference to a shared color axis. References to these
        shared color axes are "coloraxis", "coloraxis2", "coloraxis3",
        etc. Settings for these shared color axes are set in the
        layout, under `layout.coloraxis`, `layout.coloraxis2`, etc.
        Note that multiple color scales can be linked to the same color
        axis.
    
        The 'coloraxis' property is an identifier of a particular
        subplot, of type 'coloraxis', that may be specified as the string 'coloraxis'
        optionally followed by an integer >= 1
        (e.g. 'coloraxis', 'coloraxis1', 'coloraxis2', 'coloraxis3', etc.)

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

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

    # colorbar
    # --------
    @property
    def colorbar(self):
        """
        The 'colorbar' property is an instance of ColorBar
        that may be specified as:
          - An instance of :class:`plotly.graph_objs.parcats.line.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:
                    https://github.com/d3/d3-3.x-api-
                    reference/blob/master/Formatting.md#d3_format
                    And for dates see:
                    https://github.com/d3/d3-3.x-api-
                    reference/blob/master/Time-Formatting.md#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
                    A tuple of :class:`plotly.graph_objects.parcats
                    .line.colorbar.Tickformatstop` instances or
                    dicts with compatible properties
                tickformatstopdefaults
                    When used in a template (as layout.template.dat
                    a.parcats.line.colorbar.tickformatstopdefaults)
                    , sets the default property values to use for
                    elements of
                    parcats.line.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 Chart Studio Cloud
                    for  ticktext .
                tickvals
                    Sets the values at which ticks on this axis
                    appear. Only has an effect if `tickmode` is set
                    to "array". Used with `ticktext`.
                tickvalssrc
                    Sets the source reference on Chart Studio Cloud
                    for  tickvals .
                tickwidth
                    Sets the tick width (in px).
                title
                    :class:`plotly.graph_objects.parcats.line.color
                    bar.Title` instance or dict with compatible
                    properties
                titlefont
                    Deprecated: Please use
                    parcats.line.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
                    parcats.line.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.parcats.line.ColorBar
        """
        return self["colorbar"]

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

    # colorscale
    # ----------
    @property
    def colorscale(self):
        """
        Sets the colorscale. Has an effect only if in `line.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`line.cmin` and `line.cmax`. Alternatively, `colorscale` may
        be a palette name string of the following list: Greys,YlGnBu,Gr
        eens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,Portland,Jet
        ,Hot,Blackbody,Earth,Electric,Viridis,Cividis.
    
        The 'colorscale' property is a colorscale and may be
        specified as:
          - A list of colors that will be spaced evenly to create the colorscale.
            Many predefined colorscale lists are included in the sequential, diverging,
            and cyclical modules in the plotly.colors package.
          - A list of 2-element lists where the first element is the
            normalized color level value (starting at 0 and ending at 1), 
            and the second item is a valid color string.
            (e.g. [[0, 'green'], [0.5, 'red'], [1.0, 'rgb(0, 0, 255)']])
          - One of the following named colorscales:
                ['aggrnyl', 'agsunset', 'algae', 'amp', 'armyrose', 'balance',
                 'blackbody', 'bluered', 'blues', 'blugrn', 'bluyl', 'brbg',
                 'brwnyl', 'bugn', 'bupu', 'burg', 'burgyl', 'cividis', 'curl',
                 'darkmint', 'deep', 'delta', 'dense', 'earth', 'edge', 'electric',
                 'emrld', 'fall', 'geyser', 'gnbu', 'gray', 'greens', 'greys',
                 'haline', 'hot', 'hsv', 'ice', 'icefire', 'inferno', 'jet',
                 'magenta', 'magma', 'matter', 'mint', 'mrybm', 'mygbm', 'oranges',
                 'orrd', 'oryel', 'peach', 'phase', 'picnic', 'pinkyl', 'piyg',
                 'plasma', 'plotly3', 'portland', 'prgn', 'pubu', 'pubugn', 'puor',
                 'purd', 'purp', 'purples', 'purpor', 'rainbow', 'rdbu', 'rdgy',
                 'rdpu', 'rdylbu', 'rdylgn', 'redor', 'reds', 'solar', 'spectral',
                 'speed', 'sunset', 'sunsetdark', 'teal', 'tealgrn', 'tealrose',
                 'tempo', 'temps', 'thermal', 'tropic', 'turbid', 'twilight',
                 'viridis', 'ylgn', 'ylgnbu', 'ylorbr', 'ylorrd'].
            Appending '_r' to a named colorscale reverses it.

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

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

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

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

    @colorsrc.setter
    def colorsrc(self, val):
        self["colorsrc"] = 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/d3-3.x-api-
        reference/blob/master/Time-Formatting.md#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.
        variables `count` and `probability`. 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

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

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

    # reversescale
    # ------------
    @property
    def reversescale(self):
        """
        Reverses the color mapping if true. Has an effect only if in
        `line.color`is set to a numerical array. If true, `line.cmin`
        will correspond to the last color in the array and `line.cmax`
        will correspond to the first color.
    
        The 'reversescale' property must be specified as a bool
        (either True, or False)

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

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

    # shape
    # -----
    @property
    def shape(self):
        """
        Sets the shape of the paths. If `linear`, paths are composed of
        straight lines. If `hspline`, paths are composed of horizontal
        curved splines
    
        The 'shape' property is an enumeration that may be specified as:
          - One of the following enumeration values:
                ['linear', 'hspline']

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

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

    # showscale
    # ---------
    @property
    def showscale(self):
        """
        Determines whether or not a colorbar is displayed for this
        trace. Has an effect only if in `line.color`is set to a
        numerical array.
    
        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

    # property parent name
    # --------------------
    @property
    def _parent_path_str(self):
        return "parcats"

    # Self properties description
    # ---------------------------
    @property
    def _prop_descriptions(self):
        return """\
        autocolorscale
            Determines whether the colorscale is a default palette
            (`autocolorscale: true`) or the palette determined by
            `line.colorscale`. Has an effect only if in
            `line.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 `line.color`)
            or the bounds set in `line.cmin` and `line.cmax`  Has
            an effect only if in `line.color`is set to a numerical
            array. Defaults to `false` when `line.cmin` and
            `line.cmax` are set by the user.
        cmax
            Sets the upper bound of the color domain. Has an effect
            only if in `line.color`is set to a numerical array.
            Value should have the same units as in `line.color` and
            if set, `line.cmin` must be set as well.
        cmid
            Sets the mid-point of the color domain by scaling
            `line.cmin` and/or `line.cmax` to be equidistant to
            this point. Has an effect only if in `line.color`is set
            to a numerical array. Value should have the same units
            as in `line.color`. Has no effect when `line.cauto` is
            `false`.
        cmin
            Sets the lower bound of the color domain. Has an effect
            only if in `line.color`is set to a numerical array.
            Value should have the same units as in `line.color` and
            if set, `line.cmax` must be set as well.
        color
            Sets thelinecolor. 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 `line.cmin` and `line.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.parcats.line.ColorBar`
            instance or dict with compatible properties
        colorscale
            Sets the colorscale. Has an effect only if in
            `line.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`line.cmin`
            and `line.cmax`. Alternatively, `colorscale` may be a
            palette name string of the following list: Greys,YlGnBu
            ,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,P
            ortland,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividi
            s.
        colorsrc
            Sets the source reference on Chart Studio Cloud for
            color .
        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/d3-3.x-api-
            reference/blob/master/Time-Formatting.md#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. variables `count` and `probability`.
            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>`.
        reversescale
            Reverses the color mapping if true. Has an effect only
            if in `line.color`is set to a numerical array. If true,
            `line.cmin` will correspond to the last color in the
            array and `line.cmax` will correspond to the first
            color.
        shape
            Sets the shape of the paths. If `linear`, paths are
            composed of straight lines. If `hspline`, paths are
            composed of horizontal curved splines
        showscale
            Determines whether or not a colorbar is displayed for
            this trace. Has an effect only if in `line.color`is set
            to a numerical array.
        """

    def __init__(
        self,
        arg=None,
        autocolorscale=None,
        cauto=None,
        cmax=None,
        cmid=None,
        cmin=None,
        color=None,
        coloraxis=None,
        colorbar=None,
        colorscale=None,
        colorsrc=None,
        hovertemplate=None,
        reversescale=None,
        shape=None,
        showscale=None,
        **kwargs
    ):
        """
        Construct a new Line object
        
        Parameters
        ----------
        arg
            dict of properties compatible with this constructor or
            an instance of :class:`plotly.graph_objs.parcats.Line`
        autocolorscale
            Determines whether the colorscale is a default palette
            (`autocolorscale: true`) or the palette determined by
            `line.colorscale`. Has an effect only if in
            `line.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 `line.color`)
            or the bounds set in `line.cmin` and `line.cmax`  Has
            an effect only if in `line.color`is set to a numerical
            array. Defaults to `false` when `line.cmin` and
            `line.cmax` are set by the user.
        cmax
            Sets the upper bound of the color domain. Has an effect
            only if in `line.color`is set to a numerical array.
            Value should have the same units as in `line.color` and
            if set, `line.cmin` must be set as well.
        cmid
            Sets the mid-point of the color domain by scaling
            `line.cmin` and/or `line.cmax` to be equidistant to
            this point. Has an effect only if in `line.color`is set
            to a numerical array. Value should have the same units
            as in `line.color`. Has no effect when `line.cauto` is
            `false`.
        cmin
            Sets the lower bound of the color domain. Has an effect
            only if in `line.color`is set to a numerical array.
            Value should have the same units as in `line.color` and
            if set, `line.cmax` must be set as well.
        color
            Sets thelinecolor. 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 `line.cmin` and `line.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.parcats.line.ColorBar`
            instance or dict with compatible properties
        colorscale
            Sets the colorscale. Has an effect only if in
            `line.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`line.cmin`
            and `line.cmax`. Alternatively, `colorscale` may be a
            palette name string of the following list: Greys,YlGnBu
            ,Greens,YlOrRd,Bluered,RdBu,Reds,Blues,Picnic,Rainbow,P
            ortland,Jet,Hot,Blackbody,Earth,Electric,Viridis,Cividi
            s.
        colorsrc
            Sets the source reference on Chart Studio Cloud for
            color .
        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/d3-3.x-api-
            reference/blob/master/Time-Formatting.md#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. variables `count` and `probability`.
            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>`.
        reversescale
            Reverses the color mapping if true. Has an effect only
            if in `line.color`is set to a numerical array. If true,
            `line.cmin` will correspond to the last color in the
            array and `line.cmax` will correspond to the first
            color.
        shape
            Sets the shape of the paths. If `linear`, paths are
            composed of straight lines. If `hspline`, paths are
            composed of horizontal curved splines
        showscale
            Determines whether or not a colorbar is displayed for
            this trace. Has an effect only if in `line.color`is set
            to a numerical array.

        Returns
        -------
        Line
        """
        super(Line, self).__init__("line")

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

        # Handle skip_invalid
        # -------------------
        self._skip_invalid = kwargs.pop("skip_invalid", False)

        # Import validators
        # -----------------
        from plotly.validators.parcats import line as v_line

        # Initialize validators
        # ---------------------
        self._validators["autocolorscale"] = v_line.AutocolorscaleValidator()
        self._validators["cauto"] = v_line.CautoValidator()
        self._validators["cmax"] = v_line.CmaxValidator()
        self._validators["cmid"] = v_line.CmidValidator()
        self._validators["cmin"] = v_line.CminValidator()
        self._validators["color"] = v_line.ColorValidator()
        self._validators["coloraxis"] = v_line.ColoraxisValidator()
        self._validators["colorbar"] = v_line.ColorBarValidator()
        self._validators["colorscale"] = v_line.ColorscaleValidator()
        self._validators["colorsrc"] = v_line.ColorsrcValidator()
        self._validators["hovertemplate"] = v_line.HovertemplateValidator()
        self._validators["reversescale"] = v_line.ReversescaleValidator()
        self._validators["shape"] = v_line.ShapeValidator()
        self._validators["showscale"] = v_line.ShowscaleValidator()

        # Populate data dict with properties
        # ----------------------------------
        _v = arg.pop("autocolorscale", None)
        self["autocolorscale"] = autocolorscale if autocolorscale is not None else _v
        _v = arg.pop("cauto", None)
        self["cauto"] = cauto if cauto is not None else _v
        _v = arg.pop("cmax", None)
        self["cmax"] = cmax if cmax is not None else _v
        _v = arg.pop("cmid", None)
        self["cmid"] = cmid if cmid is not None else _v
        _v = arg.pop("cmin", None)
        self["cmin"] = cmin if cmin is not None else _v
        _v = arg.pop("color", None)
        self["color"] = color if color is not None else _v
        _v = arg.pop("coloraxis", None)
        self["coloraxis"] = coloraxis if coloraxis 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("colorsrc", None)
        self["colorsrc"] = colorsrc if colorsrc is not None else _v
        _v = arg.pop("hovertemplate", None)
        self["hovertemplate"] = hovertemplate if hovertemplate is not None else _v
        _v = arg.pop("reversescale", None)
        self["reversescale"] = reversescale if reversescale is not None else _v
        _v = arg.pop("shape", None)
        self["shape"] = shape if shape is not None else _v
        _v = arg.pop("showscale", None)
        self["showscale"] = showscale if showscale is not None else _v

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

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


from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy


class Labelfont(_BaseTraceHierarchyType):

    # color
    # -----
    @property
    def color(self):
        """
        The 'color' property is a color and may be specified as:
          - A hex string (e.g. '#ff0000')
          - An rgb/rgba string (e.g. 'rgb(255,0,0)')
          - An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
          - An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
          - A named CSS color:
                aliceblue, antiquewhite, aqua, aquamarine, azure,
                beige, bisque, black, blanchedalmond, blue,
                blueviolet, brown, burlywood, cadetblue,
                chartreuse, chocolate, coral, cornflowerblue,
                cornsilk, crimson, cyan, darkblue, darkcyan,
                darkgoldenrod, darkgray, darkgrey, darkgreen,
                darkkhaki, darkmagenta, darkolivegreen, darkorange,
                darkorchid, darkred, darksalmon, darkseagreen,
                darkslateblue, darkslategray, darkslategrey,
                darkturquoise, darkviolet, deeppink, deepskyblue,
                dimgray, dimgrey, dodgerblue, firebrick,
                floralwhite, forestgreen, fuchsia, gainsboro,
                ghostwhite, gold, goldenrod, gray, grey, green,
                greenyellow, honeydew, hotpink, indianred, indigo,
                ivory, khaki, lavender, lavenderblush, lawngreen,
                lemonchiffon, lightblue, lightcoral, lightcyan,
                lightgoldenrodyellow, lightgray, lightgrey,
                lightgreen, lightpink, lightsalmon, lightseagreen,
                lightskyblue, lightslategray, lightslategrey,
                lightsteelblue, lightyellow, lime, limegreen,
                linen, magenta, maroon, mediumaquamarine,
                mediumblue, mediumorchid, mediumpurple,
                mediumseagreen, mediumslateblue, mediumspringgreen,
                mediumturquoise, mediumvioletred, midnightblue,
                mintcream, mistyrose, moccasin, navajowhite, navy,
                oldlace, olive, olivedrab, orange, orangered,
                orchid, palegoldenrod, palegreen, paleturquoise,
                palevioletred, papayawhip, peachpuff, peru, pink,
                plum, powderblue, purple, red, rosybrown,
                royalblue, rebeccapurple, saddlebrown, salmon,
                sandybrown, seagreen, seashell, sienna, silver,
                skyblue, slateblue, slategray, slategrey, snow,
                springgreen, steelblue, tan, teal, thistle, tomato,
                turquoise, violet, wheat, white, whitesmoke,
                yellow, yellowgreen

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

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

    # family
    # ------
    @property
    def family(self):
        """
        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".
    
        The 'family' property is a string and must be specified as:
          - A non-empty string

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

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

    # size
    # ----
    @property
    def size(self):
        """
        The 'size' property is a number and may be specified as:
          - An int or float in the interval [1, inf]

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

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

    # property parent name
    # --------------------
    @property
    def _parent_path_str(self):
        return "parcats"

    # Self properties description
    # ---------------------------
    @property
    def _prop_descriptions(self):
        return """\
        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".
        size

        """

    def __init__(self, arg=None, color=None, family=None, size=None, **kwargs):
        """
        Construct a new Labelfont object
        
        Sets the font for the `dimension` labels.

        Parameters
        ----------
        arg
            dict of properties compatible with this constructor or
            an instance of
            :class:`plotly.graph_objs.parcats.Labelfont`
        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".
        size


        Returns
        -------
        Labelfont
        """
        super(Labelfont, self).__init__("labelfont")

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

        # Handle skip_invalid
        # -------------------
        self._skip_invalid = kwargs.pop("skip_invalid", False)

        # Import validators
        # -----------------
        from plotly.validators.parcats import labelfont as v_labelfont

        # Initialize validators
        # ---------------------
        self._validators["color"] = v_labelfont.ColorValidator()
        self._validators["family"] = v_labelfont.FamilyValidator()
        self._validators["size"] = v_labelfont.SizeValidator()

        # Populate data dict with properties
        # ----------------------------------
        _v = arg.pop("color", None)
        self["color"] = color if color is not None else _v
        _v = arg.pop("family", None)
        self["family"] = family if family is not None else _v
        _v = arg.pop("size", None)
        self["size"] = size if size is not None else _v

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

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


from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy


class Domain(_BaseTraceHierarchyType):

    # column
    # ------
    @property
    def column(self):
        """
        If there is a layout grid, use the domain for this column in
        the grid for this parcats trace .
    
        The 'column' property is a integer and may be specified as:
          - An int (or float that will be cast to an int)
            in the interval [0, 9223372036854775807]

        Returns
        -------
        int
        """
        return self["column"]

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

    # row
    # ---
    @property
    def row(self):
        """
        If there is a layout grid, use the domain for this row in the
        grid for this parcats trace .
    
        The 'row' property is a integer and may be specified as:
          - An int (or float that will be cast to an int)
            in the interval [0, 9223372036854775807]

        Returns
        -------
        int
        """
        return self["row"]

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

    # x
    # -
    @property
    def x(self):
        """
        Sets the horizontal domain of this parcats trace (in plot
        fraction).
    
        The 'x' property is an info array that may be specified as:
    
        * a list or tuple of 2 elements where:
    (0) The 'x[0]' property is a number and may be specified as:
          - An int or float in the interval [0, 1]
    (1) The 'x[1]' property is a number and may be specified as:
          - An int or float in the interval [0, 1]

        Returns
        -------
        list
        """
        return self["x"]

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

    # y
    # -
    @property
    def y(self):
        """
        Sets the vertical domain of this parcats trace (in plot
        fraction).
    
        The 'y' property is an info array that may be specified as:
    
        * a list or tuple of 2 elements where:
    (0) The 'y[0]' property is a number and may be specified as:
          - An int or float in the interval [0, 1]
    (1) The 'y[1]' property is a number and may be specified as:
          - An int or float in the interval [0, 1]

        Returns
        -------
        list
        """
        return self["y"]

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

    # property parent name
    # --------------------
    @property
    def _parent_path_str(self):
        return "parcats"

    # Self properties description
    # ---------------------------
    @property
    def _prop_descriptions(self):
        return """\
        column
            If there is a layout grid, use the domain for this
            column in the grid for this parcats trace .
        row
            If there is a layout grid, use the domain for this row
            in the grid for this parcats trace .
        x
            Sets the horizontal domain of this parcats trace (in
            plot fraction).
        y
            Sets the vertical domain of this parcats trace (in plot
            fraction).
        """

    def __init__(self, arg=None, column=None, row=None, x=None, y=None, **kwargs):
        """
        Construct a new Domain object
        
        Parameters
        ----------
        arg
            dict of properties compatible with this constructor or
            an instance of
            :class:`plotly.graph_objs.parcats.Domain`
        column
            If there is a layout grid, use the domain for this
            column in the grid for this parcats trace .
        row
            If there is a layout grid, use the domain for this row
            in the grid for this parcats trace .
        x
            Sets the horizontal domain of this parcats trace (in
            plot fraction).
        y
            Sets the vertical domain of this parcats trace (in plot
            fraction).

        Returns
        -------
        Domain
        """
        super(Domain, self).__init__("domain")

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

        # Handle skip_invalid
        # -------------------
        self._skip_invalid = kwargs.pop("skip_invalid", False)

        # Import validators
        # -----------------
        from plotly.validators.parcats import domain as v_domain

        # Initialize validators
        # ---------------------
        self._validators["column"] = v_domain.ColumnValidator()
        self._validators["row"] = v_domain.RowValidator()
        self._validators["x"] = v_domain.XValidator()
        self._validators["y"] = v_domain.YValidator()

        # Populate data dict with properties
        # ----------------------------------
        _v = arg.pop("column", None)
        self["column"] = column if column is not None else _v
        _v = arg.pop("row", None)
        self["row"] = row if row is not None else _v
        _v = arg.pop("x", None)
        self["x"] = x if x is not None else _v
        _v = arg.pop("y", None)
        self["y"] = y if y is not None else _v

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

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


from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy


class Dimension(_BaseTraceHierarchyType):

    # categoryarray
    # -------------
    @property
    def categoryarray(self):
        """
        Sets the order in which categories in this dimension appear.
        Only has an effect if `categoryorder` is set to "array". Used
        with `categoryorder`.
    
        The 'categoryarray' property is an array that may be specified as a tuple,
        list, numpy array, or pandas Series

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

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

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

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

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

    # categoryorder
    # -------------
    @property
    def categoryorder(self):
        """
        Specifies the ordering logic for the categories in the
        dimension. By default, plotly uses "trace", which specifies the
        order that is present in the data supplied. Set `categoryorder`
        to *category ascending* or *category descending* if order
        should be determined by the alphanumerical order of the
        category names. Set `categoryorder` to "array" to derive the
        ordering from the attribute `categoryarray`. If a category is
        not found in the `categoryarray` array, the sorting behavior
        for that attribute will be identical to the "trace" mode. The
        unspecified categories will follow the categories in
        `categoryarray`.
    
        The 'categoryorder' property is an enumeration that may be specified as:
          - One of the following enumeration values:
                ['trace', 'category ascending', 'category descending',
                'array']

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

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

    # displayindex
    # ------------
    @property
    def displayindex(self):
        """
        The display index of dimension, from left to right, zero
        indexed, defaults to dimension index.
    
        The 'displayindex' property is a integer and may be specified as:
          - An int (or float that will be cast to an int)

        Returns
        -------
        int
        """
        return self["displayindex"]

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

    # label
    # -----
    @property
    def label(self):
        """
        The shown name of the dimension.
    
        The 'label' property is a string and must be specified as:
          - A string
          - A number that will be converted to a string

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

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

    # ticktext
    # --------
    @property
    def ticktext(self):
        """
        Sets alternative tick labels for the categories in this
        dimension. Only has an effect if `categoryorder` is set to
        "array". Should be an array the same length as `categoryarray`
        Used with `categoryorder`.
    
        The 'ticktext' property is an array that may be specified as a tuple,
        list, numpy array, or pandas Series

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

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

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

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

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

    # values
    # ------
    @property
    def values(self):
        """
        Dimension values. `values[n]` represents the category value of
        the `n`th point in the dataset, therefore the `values` vector
        for all dimensions must be the same (longer vectors will be
        truncated).
    
        The 'values' property is an array that may be specified as a tuple,
        list, numpy array, or pandas Series

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

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

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

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

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

    # visible
    # -------
    @property
    def visible(self):
        """
        Shows the dimension when set to `true` (the default). Hides the
        dimension for `false`.
    
        The 'visible' property must be specified as a bool
        (either True, or False)

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

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

    # property parent name
    # --------------------
    @property
    def _parent_path_str(self):
        return "parcats"

    # Self properties description
    # ---------------------------
    @property
    def _prop_descriptions(self):
        return """\
        categoryarray
            Sets the order in which categories in this dimension
            appear. Only has an effect if `categoryorder` is set to
            "array". Used with `categoryorder`.
        categoryarraysrc
            Sets the source reference on Chart Studio Cloud for
            categoryarray .
        categoryorder
            Specifies the ordering logic for the categories in the
            dimension. By default, plotly uses "trace", which
            specifies the order that is present in the data
            supplied. Set `categoryorder` to *category ascending*
            or *category descending* if order should be determined
            by the alphanumerical order of the category names. Set
            `categoryorder` to "array" to derive the ordering from
            the attribute `categoryarray`. If a category is not
            found in the `categoryarray` array, the sorting
            behavior for that attribute will be identical to the
            "trace" mode. The unspecified categories will follow
            the categories in `categoryarray`.
        displayindex
            The display index of dimension, from left to right,
            zero indexed, defaults to dimension index.
        label
            The shown name of the dimension.
        ticktext
            Sets alternative tick labels for the categories in this
            dimension. Only has an effect if `categoryorder` is set
            to "array". Should be an array the same length as
            `categoryarray` Used with `categoryorder`.
        ticktextsrc
            Sets the source reference on Chart Studio Cloud for
            ticktext .
        values
            Dimension values. `values[n]` represents the category
            value of the `n`th point in the dataset, therefore the
            `values` vector for all dimensions must be the same
            (longer vectors will be truncated).
        valuessrc
            Sets the source reference on Chart Studio Cloud for
            values .
        visible
            Shows the dimension when set to `true` (the default).
            Hides the dimension for `false`.
        """

    def __init__(
        self,
        arg=None,
        categoryarray=None,
        categoryarraysrc=None,
        categoryorder=None,
        displayindex=None,
        label=None,
        ticktext=None,
        ticktextsrc=None,
        values=None,
        valuessrc=None,
        visible=None,
        **kwargs
    ):
        """
        Construct a new Dimension object
        
        The dimensions (variables) of the parallel categories diagram.

        Parameters
        ----------
        arg
            dict of properties compatible with this constructor or
            an instance of
            :class:`plotly.graph_objs.parcats.Dimension`
        categoryarray
            Sets the order in which categories in this dimension
            appear. Only has an effect if `categoryorder` is set to
            "array". Used with `categoryorder`.
        categoryarraysrc
            Sets the source reference on Chart Studio Cloud for
            categoryarray .
        categoryorder
            Specifies the ordering logic for the categories in the
            dimension. By default, plotly uses "trace", which
            specifies the order that is present in the data
            supplied. Set `categoryorder` to *category ascending*
            or *category descending* if order should be determined
            by the alphanumerical order of the category names. Set
            `categoryorder` to "array" to derive the ordering from
            the attribute `categoryarray`. If a category is not
            found in the `categoryarray` array, the sorting
            behavior for that attribute will be identical to the
            "trace" mode. The unspecified categories will follow
            the categories in `categoryarray`.
        displayindex
            The display index of dimension, from left to right,
            zero indexed, defaults to dimension index.
        label
            The shown name of the dimension.
        ticktext
            Sets alternative tick labels for the categories in this
            dimension. Only has an effect if `categoryorder` is set
            to "array". Should be an array the same length as
            `categoryarray` Used with `categoryorder`.
        ticktextsrc
            Sets the source reference on Chart Studio Cloud for
            ticktext .
        values
            Dimension values. `values[n]` represents the category
            value of the `n`th point in the dataset, therefore the
            `values` vector for all dimensions must be the same
            (longer vectors will be truncated).
        valuessrc
            Sets the source reference on Chart Studio Cloud for
            values .
        visible
            Shows the dimension when set to `true` (the default).
            Hides the dimension for `false`.

        Returns
        -------
        Dimension
        """
        super(Dimension, self).__init__("dimensions")

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

        # Handle skip_invalid
        # -------------------
        self._skip_invalid = kwargs.pop("skip_invalid", False)

        # Import validators
        # -----------------
        from plotly.validators.parcats import dimension as v_dimension

        # Initialize validators
        # ---------------------
        self._validators["categoryarray"] = v_dimension.CategoryarrayValidator()
        self._validators["categoryarraysrc"] = v_dimension.CategoryarraysrcValidator()
        self._validators["categoryorder"] = v_dimension.CategoryorderValidator()
        self._validators["displayindex"] = v_dimension.DisplayindexValidator()
        self._validators["label"] = v_dimension.LabelValidator()
        self._validators["ticktext"] = v_dimension.TicktextValidator()
        self._validators["ticktextsrc"] = v_dimension.TicktextsrcValidator()
        self._validators["values"] = v_dimension.ValuesValidator()
        self._validators["valuessrc"] = v_dimension.ValuessrcValidator()
        self._validators["visible"] = v_dimension.VisibleValidator()

        # Populate data dict with properties
        # ----------------------------------
        _v = arg.pop("categoryarray", None)
        self["categoryarray"] = categoryarray if categoryarray is not None else _v
        _v = arg.pop("categoryarraysrc", None)
        self["categoryarraysrc"] = (
            categoryarraysrc if categoryarraysrc is not None else _v
        )
        _v = arg.pop("categoryorder", None)
        self["categoryorder"] = categoryorder if categoryorder is not None else _v
        _v = arg.pop("displayindex", None)
        self["displayindex"] = displayindex if displayindex is not None else _v
        _v = arg.pop("label", None)
        self["label"] = label if label is not None else _v
        _v = arg.pop("ticktext", None)
        self["ticktext"] = ticktext if ticktext is not None else _v
        _v = arg.pop("ticktextsrc", None)
        self["ticktextsrc"] = ticktextsrc if ticktextsrc is not None else _v
        _v = arg.pop("values", None)
        self["values"] = values if values is not None else _v
        _v = arg.pop("valuessrc", None)
        self["valuessrc"] = valuessrc if valuessrc is not None else _v
        _v = arg.pop("visible", None)
        self["visible"] = visible if visible is not None else _v

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

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


__all__ = [
    "Dimension",
    "Dimension",
    "Domain",
    "Labelfont",
    "Line",
    "Stream",
    "Tickfont",
    "line",
]

from plotly.graph_objs.parcats import line
