_histogram2dcontour.py

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


class Histogram2dContour(_BaseTraceType):

    # class properties
    # --------------------
    _parent_path_str = ""
    _path_str = "histogram2dcontour"
    _valid_props = {
        "autobinx",
        "autobiny",
        "autocolorscale",
        "autocontour",
        "bingroup",
        "coloraxis",
        "colorbar",
        "colorscale",
        "contours",
        "customdata",
        "customdatasrc",
        "histfunc",
        "histnorm",
        "hoverinfo",
        "hoverinfosrc",
        "hoverlabel",
        "hovertemplate",
        "hovertemplatesrc",
        "ids",
        "idssrc",
        "legend",
        "legendgroup",
        "legendgrouptitle",
        "legendrank",
        "legendwidth",
        "line",
        "marker",
        "meta",
        "metasrc",
        "name",
        "nbinsx",
        "nbinsy",
        "ncontours",
        "opacity",
        "reversescale",
        "showlegend",
        "showscale",
        "stream",
        "textfont",
        "texttemplate",
        "type",
        "uid",
        "uirevision",
        "visible",
        "x",
        "xaxis",
        "xbingroup",
        "xbins",
        "xcalendar",
        "xhoverformat",
        "xsrc",
        "y",
        "yaxis",
        "ybingroup",
        "ybins",
        "ycalendar",
        "yhoverformat",
        "ysrc",
        "z",
        "zauto",
        "zhoverformat",
        "zmax",
        "zmid",
        "zmin",
        "zsrc",
    }

    # autobinx
    # --------
    @property
    def autobinx(self):
        """
        Obsolete: since v1.42 each bin attribute is auto-determined
        separately and `autobinx` is not needed. However, we accept
        `autobinx: true` or `false` and will update `xbins` accordingly
        before deleting `autobinx` from the trace.

        The 'autobinx' property must be specified as a bool
        (either True, or False)

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

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

    # autobiny
    # --------
    @property
    def autobiny(self):
        """
        Obsolete: since v1.42 each bin attribute is auto-determined
        separately and `autobiny` is not needed. However, we accept
        `autobiny: true` or `false` and will update `ybins` accordingly
        before deleting `autobiny` from the trace.

        The 'autobiny' property must be specified as a bool
        (either True, or False)

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

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

    # autocolorscale
    # --------------
    @property
    def autocolorscale(self):
        """
        Determines whether the colorscale is a default palette
        (`autocolorscale: true`) or the palette determined by
        `colorscale`. In case `colorscale` is unspecified or
        `autocolorscale` is true, the default palette will be chosen
        according to whether numbers in the `color` array are all
        positive, all negative or mixed.

        The 'autocolorscale' property must be specified as a bool
        (either True, or False)

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

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

    # autocontour
    # -----------
    @property
    def autocontour(self):
        """
        Determines whether or not the contour level attributes are
        picked by an algorithm. If True, the number of contour levels
        can be set in `ncontours`. If False, set the contour level
        attributes in `contours`.

        The 'autocontour' property must be specified as a bool
        (either True, or False)

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

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

    # bingroup
    # --------
    @property
    def bingroup(self):
        """
        Set the `xbingroup` and `ybingroup` default prefix For example,
        setting a `bingroup` of 1 on two histogram2d traces will make
        them their x-bins and y-bins match separately.

        The 'bingroup' property is a string and must be specified as:
          - A string
          - A number that will be converted to a string

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

    @bingroup.setter
    def bingroup(self, val):
        self["bingroup"] = 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.histogram2dcontour.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.
                labelalias
                    Replacement text for specific tick or hover
                    labels. For example using {US: 'USA', CA:
                    'Canada'} changes US to USA and CA to Canada.
                    The labels we would have shown must match the
                    keys exactly, after adding any tickprefix or
                    ticksuffix. For negative numbers the minus sign
                    symbol used (U+2212) is wider than the regular
                    ascii dash. That means you need to use −1
                    instead of -1. labelalias can be used with any
                    axis type, and both keys (if needed) and values
                    (if desired) can include html-like tags or
                    MathJax.
                len
                    Sets the length of the color bar This measure
                    excludes the padding of both ends. That is, the
                    color bar length is this length minus the
                    padding on both ends.
                lenmode
                    Determines whether this color bar's length
                    (i.e. the measure in the color variation
                    direction) is set in units of plot "fraction"
                    or in *pixels. Use `len` to set the value.
                minexponent
                    Hide SI prefix for 10^n if |n| is below this
                    number. This only has an effect when
                    `tickformat` is "SI" or "B".
                nticks
                    Specifies the maximum number of ticks for the
                    particular axis. The actual number of ticks
                    will be chosen automatically to be less than or
                    equal to `nticks`. Has an effect only if
                    `tickmode` is set to "auto".
                orientation
                    Sets the orientation of the colorbar.
                outlinecolor
                    Sets the axis line color.
                outlinewidth
                    Sets the width (in px) of the axis line.
                separatethousands
                    If "true", even 4-digit integers are separated
                showexponent
                    If "all", all exponents are shown besides their
                    significands. If "first", only the exponent of
                    the first tick is shown. If "last", only the
                    exponent of the last tick is shown. If "none",
                    no exponents appear.
                showticklabels
                    Determines whether or not the tick labels are
                    drawn.
                showtickprefix
                    If "all", all tick labels are displayed with a
                    prefix. If "first", only the first tick is
                    displayed with a prefix. If "last", only the
                    last tick is displayed with a suffix. If
                    "none", tick prefixes are hidden.
                showticksuffix
                    Same as `showtickprefix` but for tick suffixes.
                thickness
                    Sets the thickness of the color bar This
                    measure excludes the size of the padding, ticks
                    and labels.
                thicknessmode
                    Determines whether this color bar's thickness
                    (i.e. the measure in the constant color
                    direction) is set in units of plot "fraction"
                    or in "pixels". Use `thickness` to set the
                    value.
                tick0
                    Sets the placement of the first tick on this
                    axis. Use with `dtick`. If the axis `type` is
                    "log", then you must take the log of your
                    starting tick (e.g. to set the starting tick to
                    100, set the `tick0` to 2) except when
                    `dtick`=*L<f>* (see `dtick` for more info). If
                    the axis `type` is "date", it should be a date
                    string, like date data. If the axis `type` is
                    "category", it should be a number, using the
                    scale where each category is assigned a serial
                    number from zero in the order it appears.
                tickangle
                    Sets the angle of the tick labels with respect
                    to the horizontal. For example, a `tickangle`
                    of -90 draws the tick labels vertically.
                tickcolor
                    Sets the tick color.
                tickfont
                    Sets the color bar's tick label font
                tickformat
                    Sets the tick label formatting rule using d3
                    formatting mini-languages which are very
                    similar to those in Python. For numbers, see: h
                    ttps://github.com/d3/d3-format/tree/v1.4.5#d3-
                    format. And for dates see:
                    https://github.com/d3/d3-time-
                    format/tree/v2.2.3#locale_format. We add two
                    items to d3's date formatter: "%h" for half of
                    the year as a decimal number as well as "%{n}f"
                    for fractional seconds with n digits. For
                    example, *2016-10-13 09:15:23.456* with
                    tickformat "%H~%M~%S.%2f" would display
                    "09~15~23.46"
                tickformatstops
                    A tuple of :class:`plotly.graph_objects.histogr
                    am2dcontour.colorbar.Tickformatstop` instances
                    or dicts with compatible properties
                tickformatstopdefaults
                    When used in a template (as layout.template.dat
                    a.histogram2dcontour.colorbar.tickformatstopdef
                    aults), sets the default property values to use
                    for elements of
                    histogram2dcontour.colorbar.tickformatstops
                ticklabeloverflow
                    Determines how we handle tick labels that would
                    overflow either the graph div or the domain of
                    the axis. The default value for inside tick
                    labels is *hide past domain*. In other cases
                    the default is *hide past div*.
                ticklabelposition
                    Determines where tick labels are drawn relative
                    to the ticks. Left and right options are used
                    when `orientation` is "h", top and bottom when
                    `orientation` is "v".
                ticklabelstep
                    Sets the spacing between tick labels as
                    compared to the spacing between ticks. A value
                    of 1 (default) means each tick gets a label. A
                    value of 2 means shows every 2nd label. A
                    larger value n means only every nth tick is
                    labeled. `tick0` determines which labels are
                    shown. Not implemented for axes with `type`
                    "log" or "multicategory", or when `tickmode` is
                    "array".
                ticklen
                    Sets the tick length (in px).
                tickmode
                    Sets the tick mode for this axis. If "auto",
                    the number of ticks is set via `nticks`. If
                    "linear", the placement of the ticks is
                    determined by a starting position `tick0` and a
                    tick step `dtick` ("linear" is the default
                    value if `tick0` and `dtick` are provided). If
                    "array", the placement of the ticks is set via
                    `tickvals` and the tick text is `ticktext`.
                    ("array" is the default value if `tickvals` is
                    provided).
                tickprefix
                    Sets a tick label prefix.
                ticks
                    Determines whether ticks are drawn or not. If
                    "", this axis' ticks are not drawn. If
                    "outside" ("inside"), this axis' are drawn
                    outside (inside) the axis lines.
                ticksuffix
                    Sets a tick label suffix.
                ticktext
                    Sets the text displayed at the ticks position
                    via `tickvals`. Only has an effect if
                    `tickmode` is set to "array". Used with
                    `tickvals`.
                ticktextsrc
                    Sets the source reference on Chart Studio Cloud
                    for `ticktext`.
                tickvals
                    Sets the values at which ticks on this axis
                    appear. Only has an effect if `tickmode` is set
                    to "array". Used with `ticktext`.
                tickvalssrc
                    Sets the source reference on Chart Studio Cloud
                    for `tickvals`.
                tickwidth
                    Sets the tick width (in px).
                title
                    :class:`plotly.graph_objects.histogram2dcontour
                    .colorbar.Title` instance or dict with
                    compatible properties
                x
                    Sets the x position with respect to `xref` of
                    the color bar (in plot fraction). When `xref`
                    is "paper", defaults to 1.02 when `orientation`
                    is "v" and 0.5 when `orientation` is "h". When
                    `xref` is "container", defaults to 1 when
                    `orientation` is "v" and 0.5 when `orientation`
                    is "h". Must be between 0 and 1 if `xref` is
                    "container" and between "-2" and 3 if `xref` is
                    "paper".
                xanchor
                    Sets this color bar's horizontal position
                    anchor. This anchor binds the `x` position to
                    the "left", "center" or "right" of the color
                    bar. Defaults to "left" when `orientation` is
                    "v" and "center" when `orientation` is "h".
                xpad
                    Sets the amount of padding (in px) along the x
                    direction.
                xref
                    Sets the container `x` refers to. "container"
                    spans the entire `width` of the plot. "paper"
                    refers to the width of the plotting area only.
                y
                    Sets the y position with respect to `yref` of
                    the color bar (in plot fraction). When `yref`
                    is "paper", defaults to 0.5 when `orientation`
                    is "v" and 1.02 when `orientation` is "h". When
                    `yref` is "container", defaults to 0.5 when
                    `orientation` is "v" and 1 when `orientation`
                    is "h". Must be between 0 and 1 if `yref` is
                    "container" and between "-2" and 3 if `yref` is
                    "paper".
                yanchor
                    Sets this color bar's vertical position anchor
                    This anchor binds the `y` position to the
                    "top", "middle" or "bottom" of the color bar.
                    Defaults to "middle" when `orientation` is "v"
                    and "bottom" when `orientation` is "h".
                ypad
                    Sets the amount of padding (in px) along the y
                    direction.
                yref
                    Sets the container `y` refers to. "container"
                    spans the entire `height` of the plot. "paper"
                    refers to the height of the plotting area only.

        Returns
        -------
        plotly.graph_objs.histogram2dcontour.ColorBar
        """
        return self["colorbar"]

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

    # colorscale
    # ----------
    @property
    def colorscale(self):
        """
        Sets the colorscale. The colorscale must be an array containing
        arrays mapping a normalized value to an rgb, rgba, hex, hsl,
        hsv, or named color string. At minimum, a mapping for the
        lowest (0) and highest (1) values are required. For example,
        `[[0, 'rgb(0,0,255)'], [1, 'rgb(255,0,0)']]`. To control the
        bounds of the colorscale in color space, use `zmin` and `zmax`.
        Alternatively, `colorscale` may be a palette name string of the
        following list: Blackbody,Bluered,Blues,Cividis,Earth,Electric,
        Greens,Greys,Hot,Jet,Picnic,Portland,Rainbow,RdBu,Reds,Viridis,
        YlGnBu,YlOrRd.

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

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

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

    # contours
    # --------
    @property
    def contours(self):
        """
        The 'contours' property is an instance of Contours
        that may be specified as:
          - An instance of :class:`plotly.graph_objs.histogram2dcontour.Contours`
          - A dict of string/value properties that will be passed
            to the Contours constructor

            Supported dict properties:

                coloring
                    Determines the coloring method showing the
                    contour values. If "fill", coloring is done
                    evenly between each contour level If "heatmap",
                    a heatmap gradient coloring is applied between
                    each contour level. If "lines", coloring is
                    done on the contour lines. If "none", no
                    coloring is applied on this trace.
                end
                    Sets the end contour level value. Must be more
                    than `contours.start`
                labelfont
                    Sets the font used for labeling the contour
                    levels. The default color comes from the lines,
                    if shown. The default family and size come from
                    `layout.font`.
                labelformat
                    Sets the contour label formatting rule using d3
                    formatting mini-languages which are very
                    similar to those in Python. For numbers, see: h
                    ttps://github.com/d3/d3-format/tree/v1.4.5#d3-
                    format.
                operation
                    Sets the constraint operation. "=" keeps
                    regions equal to `value` "<" and "<=" keep
                    regions less than `value` ">" and ">=" keep
                    regions greater than `value` "[]", "()", "[)",
                    and "(]" keep regions inside `value[0]` to
                    `value[1]` "][", ")(", "](", ")[" keep regions
                    outside `value[0]` to value[1]` Open vs. closed
                    intervals make no difference to constraint
                    display, but all versions are allowed for
                    consistency with filter transforms.
                showlabels
                    Determines whether to label the contour lines
                    with their values.
                showlines
                    Determines whether or not the contour lines are
                    drawn. Has an effect only if
                    `contours.coloring` is set to "fill".
                size
                    Sets the step between each contour level. Must
                    be positive.
                start
                    Sets the starting contour level value. Must be
                    less than `contours.end`
                type
                    If `levels`, the data is represented as a
                    contour plot with multiple levels displayed. If
                    `constraint`, the data is represented as
                    constraints with the invalid region shaded as
                    specified by the `operation` and `value`
                    parameters.
                value
                    Sets the value or values of the constraint
                    boundary. When `operation` is set to one of the
                    comparison values (=,<,>=,>,<=) "value" is
                    expected to be a number. When `operation` is
                    set to one of the interval values
                    ([],(),[),(],][,)(,](,)[) "value" is expected
                    to be an array of two numbers where the first
                    is the lower bound and the second is the upper
                    bound.

        Returns
        -------
        plotly.graph_objs.histogram2dcontour.Contours
        """
        return self["contours"]

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

    # customdata
    # ----------
    @property
    def customdata(self):
        """
        Assigns extra data each datum. This may be useful when
        listening to hover, click and selection events. Note that,
        "scatter" traces also appends customdata items in the markers
        DOM elements

        The 'customdata' property is an array that may be specified as a tuple,
        list, numpy array, or pandas Series

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

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

    # customdatasrc
    # -------------
    @property
    def customdatasrc(self):
        """
        Sets the source reference on 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

    # histfunc
    # --------
    @property
    def histfunc(self):
        """
        Specifies the binning function used for this histogram trace.
        If "count", the histogram values are computed by counting the
        number of values lying inside each bin. If "sum", "avg", "min",
        "max", the histogram values are computed using the sum, the
        average, the minimum or the maximum of the values lying inside
        each bin respectively.

        The 'histfunc' property is an enumeration that may be specified as:
          - One of the following enumeration values:
                ['count', 'sum', 'avg', 'min', 'max']

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

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

    # histnorm
    # --------
    @property
    def histnorm(self):
        """
        Specifies the type of normalization used for this histogram
        trace. If "", the span of each bar corresponds to the number of
        occurrences (i.e. the number of data points lying inside the
        bins). If "percent" / "probability", the span of each bar
        corresponds to the percentage / fraction of occurrences with
        respect to the total number of sample points (here, the sum of
        all bin HEIGHTS equals 100% / 1). If "density", the span of
        each bar corresponds to the number of occurrences in a bin
        divided by the size of the bin interval (here, the sum of all
        bin AREAS equals the total number of sample points). If
        *probability density*, the area of each bar corresponds to the
        probability that an event will fall into the corresponding bin
        (here, the sum of all bin AREAS equals 1).

        The 'histnorm' property is an enumeration that may be specified as:
          - One of the following enumeration values:
                ['', 'percent', 'probability', 'density', 'probability
                density']

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

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

    # hoverinfo
    # ---------
    @property
    def hoverinfo(self):
        """
        Determines which trace information appear on hover. If `none`
        or `skip` are set, no information is displayed upon hovering.
        But, if `none` is set, click and hover events are still fired.

        The 'hoverinfo' property is a flaglist and may be specified
        as a string containing:
          - Any combination of ['x', 'y', 'z', 'text', 'name'] joined with '+' characters
            (e.g. 'x+y')
            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
          - A list or array of the above

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

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

    # hoverinfosrc
    # ------------
    @property
    def hoverinfosrc(self):
        """
        Sets the source reference on Chart Studio Cloud for
        `hoverinfo`.

        The 'hoverinfosrc' property must be specified as a string or
        as a plotly.grid_objs.Column object

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

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

    # hoverlabel
    # ----------
    @property
    def hoverlabel(self):
        """
        The 'hoverlabel' property is an instance of Hoverlabel
        that may be specified as:
          - An instance of :class:`plotly.graph_objs.histogram2dcontour.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.histogram2dcontour.Hoverlabel
        """
        return self["hoverlabel"]

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

    # hovertemplate
    # -------------
    @property
    def hovertemplate(self):
        """
        Template string used for rendering the information that appear
        on hover box. Note that this will override `hoverinfo`.
        Variables are inserted using %{variable}, for example "y: %{y}"
        as well as %{xother}, {%_xother}, {%_xother_}, {%xother_}. When
        showing info for several points, "xother" will be added to
        those with different x positions from the first point. An
        underscore before or after "(x|y)other" will add a space on
        that side, only when this field is shown. Numbers are formatted
        using d3-format's syntax %{variable:d3-format}, for example
        "Price: %{y:$.2f}".
        https://github.com/d3/d3-format/tree/v1.4.5#d3-format for
        details on the formatting syntax. Dates are formatted using
        d3-time-format's syntax %{variable|d3-time-format}, for example
        "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time-
        format/tree/v2.2.3#locale_format for details on the date
        formatting syntax. The variables available in `hovertemplate`
        are the ones emitted as event data described at this link
        https://plotly.com/javascript/plotlyjs-events/#event-data.
        Additionally, every attributes that can be specified per-point
        (the ones that are `arrayOk: true`) are available. Finally, the
        template string has access to variable `z` 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

    # 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

    # legend
    # ------
    @property
    def legend(self):
        """
        Sets the reference to a legend to show this trace in.
        References to these legends are "legend", "legend2", "legend3",
        etc. Settings for these legends are set in the layout, under
        `layout.legend`, `layout.legend2`, etc.

        The 'legend' property is an identifier of a particular
        subplot, of type 'legend', that may be specified as the string 'legend'
        optionally followed by an integer >= 1
        (e.g. 'legend', 'legend1', 'legend2', 'legend3', etc.)

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

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

    # legendgroup
    # -----------
    @property
    def legendgroup(self):
        """
        Sets the legend group for this trace. Traces and shapes part of
        the same legend group hide/show at the same time when toggling
        legend items.

        The 'legendgroup' property is a string and must be specified as:
          - A string
          - A number that will be converted to a string

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

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

    # legendgrouptitle
    # ----------------
    @property
    def legendgrouptitle(self):
        """
        The 'legendgrouptitle' property is an instance of Legendgrouptitle
        that may be specified as:
          - An instance of :class:`plotly.graph_objs.histogram2dcontour.Legendgrouptitle`
          - A dict of string/value properties that will be passed
            to the Legendgrouptitle constructor

            Supported dict properties:

                font
                    Sets this legend group's title font.
                text
                    Sets the title of the legend group.

        Returns
        -------
        plotly.graph_objs.histogram2dcontour.Legendgrouptitle
        """
        return self["legendgrouptitle"]

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

    # legendrank
    # ----------
    @property
    def legendrank(self):
        """
        Sets the legend rank for this trace. Items and groups with
        smaller ranks are presented on top/left side while with
        "reversed" `legend.traceorder` they are on bottom/right side.
        The default legendrank is 1000, so that you can use ranks less
        than 1000 to place certain items before all unranked items, and
        ranks greater than 1000 to go after all unranked items. When
        having unranked or equal rank items shapes would be displayed
        after traces i.e. according to their order in data and layout.

        The 'legendrank' property is a number and may be specified as:
          - An int or float

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

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

    # legendwidth
    # -----------
    @property
    def legendwidth(self):
        """
        Sets the width (in px or fraction) of the legend for this
        trace.

        The 'legendwidth' property is a number and may be specified as:
          - An int or float in the interval [0, inf]

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

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

    # 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.histogram2dcontour.Line`
          - A dict of string/value properties that will be passed
            to the Line constructor

            Supported dict properties:

                color
                    Sets the color of the contour level. Has no
                    effect if `contours.coloring` is set to
                    "lines".
                dash
                    Sets the dash style of lines. Set to a dash
                    type string ("solid", "dot", "dash",
                    "longdash", "dashdot", or "longdashdot") or a
                    dash length list in px (eg "5px,10px,2px,2px").
                smoothing
                    Sets the amount of smoothing for the contour
                    lines, where 0 corresponds to no smoothing.
                width
                    Sets the contour line width in (in px)

        Returns
        -------
        plotly.graph_objs.histogram2dcontour.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.histogram2dcontour.Marker`
          - A dict of string/value properties that will be passed
            to the Marker constructor

            Supported dict properties:

                color
                    Sets the aggregation data.
                colorsrc
                    Sets the source reference on Chart Studio Cloud
                    for `color`.

        Returns
        -------
        plotly.graph_objs.histogram2dcontour.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

    # name
    # ----
    @property
    def name(self):
        """
        Sets the trace name. The trace name appears as the legend item
        and on hover.

        The 'name' property is a string and must be specified as:
          - A string
          - A number that will be converted to a string

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

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

    # nbinsx
    # ------
    @property
    def nbinsx(self):
        """
        Specifies the maximum number of desired bins. This value will
        be used in an algorithm that will decide the optimal bin size
        such that the histogram best visualizes the distribution of the
        data. Ignored if `xbins.size` is provided.

        The 'nbinsx' 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["nbinsx"]

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

    # nbinsy
    # ------
    @property
    def nbinsy(self):
        """
        Specifies the maximum number of desired bins. This value will
        be used in an algorithm that will decide the optimal bin size
        such that the histogram best visualizes the distribution of the
        data. Ignored if `ybins.size` is provided.

        The 'nbinsy' 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["nbinsy"]

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

    # ncontours
    # ---------
    @property
    def ncontours(self):
        """
        Sets the maximum number of contour levels. The actual number of
        contours will be chosen automatically to be less than or equal
        to the value of `ncontours`. Has an effect only if
        `autocontour` is True or if `contours.size` is missing.

        The 'ncontours' property is a integer and may be specified as:
          - An int (or float that will be cast to an int)
            in the interval [1, 9223372036854775807]

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

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

    # opacity
    # -------
    @property
    def opacity(self):
        """
        Sets the opacity of the trace.

        The 'opacity' property is a number and may be specified as:
          - An int or float in the interval [0, 1]

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

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

    # reversescale
    # ------------
    @property
    def reversescale(self):
        """
        Reverses the color mapping if true. If true, `zmin` will
        correspond to the last color in the array and `zmax` will
        correspond to the first color.

        The 'reversescale' property must be specified as a bool
        (either True, or False)

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

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

    # showlegend
    # ----------
    @property
    def showlegend(self):
        """
        Determines whether or not an item corresponding to this trace
        is shown in the legend.

        The 'showlegend' property must be specified as a bool
        (either True, or False)

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

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

    # showscale
    # ---------
    @property
    def showscale(self):
        """
        Determines whether or not a colorbar is displayed for this
        trace.

        The 'showscale' property must be specified as a bool
        (either True, or False)

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

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

    # stream
    # ------
    @property
    def stream(self):
        """
        The 'stream' property is an instance of Stream
        that may be specified as:
          - An instance of :class:`plotly.graph_objs.histogram2dcontour.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.histogram2dcontour.Stream
        """
        return self["stream"]

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

    # textfont
    # --------
    @property
    def textfont(self):
        """
        For this trace it only has an effect if `coloring` is set to
        "heatmap". Sets the text font.

        The 'textfont' property is an instance of Textfont
        that may be specified as:
          - An instance of :class:`plotly.graph_objs.histogram2dcontour.Textfont`
          - A dict of string/value properties that will be passed
            to the Textfont constructor

            Supported dict properties:

                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".
                lineposition
                    Sets the kind of decoration line(s) with text,
                    such as an "under", "over" or "through" as well
                    as combinations e.g. "under+over", etc.
                shadow
                    Sets the shape and color of the shadow behind
                    text. "auto" places minimal shadow and applies
                    contrast text font color. See
                    https://developer.mozilla.org/en-
                    US/docs/Web/CSS/text-shadow for additional
                    options.
                size

                style
                    Sets whether a font should be styled with a
                    normal or italic face from its family.
                textcase
                    Sets capitalization of text. It can be used to
                    make text appear in all-uppercase or all-
                    lowercase, or with each word capitalized.
                variant
                    Sets the variant of the font.
                weight
                    Sets the weight (or boldness) of the font.

        Returns
        -------
        plotly.graph_objs.histogram2dcontour.Textfont
        """
        return self["textfont"]

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

    # texttemplate
    # ------------
    @property
    def texttemplate(self):
        """
        For this trace it only has an effect if `coloring` is set to
        "heatmap". 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-format/tree/v1.4.5#d3-format for
        details on the formatting syntax. Dates are formatted using
        d3-time-format's syntax %{variable|d3-time-format}, for example
        "Day: %{2019-01-01|%A}". https://github.com/d3/d3-time-
        format/tree/v2.2.3#locale_format for details on the date
        formatting syntax. Every attributes that can be specified per-
        point (the ones that are `arrayOk: true`) are available.
        Finally, the template string has access to variables `x`, `y`,
        `z` and `text`.

        The 'texttemplate' property is a string and must be specified as:
          - A string
          - A number that will be converted to a string

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

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

    # visible
    # -------
    @property
    def visible(self):
        """
        Determines whether or not this trace is visible. If
        "legendonly", the trace is not drawn, but can appear as a
        legend item (provided that the legend itself is visible).

        The 'visible' property is an enumeration that may be specified as:
          - One of the following enumeration values:
                [True, False, 'legendonly']

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

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

    # x
    # -
    @property
    def x(self):
        """
        Sets the sample data to be binned on the x axis.

        The 'x' property is an array that may be specified as a tuple,
        list, numpy array, or pandas Series

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

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

    # xaxis
    # -----
    @property
    def xaxis(self):
        """
        Sets a reference between this trace's x coordinates and a 2D
        cartesian x axis. If "x" (the default value), the x coordinates
        refer to `layout.xaxis`. If "x2", the x coordinates refer to
        `layout.xaxis2`, and so on.

        The 'xaxis' property is an identifier of a particular
        subplot, of type 'x', that may be specified as the string 'x'
        optionally followed by an integer >= 1
        (e.g. 'x', 'x1', 'x2', 'x3', etc.)

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

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

    # xbingroup
    # ---------
    @property
    def xbingroup(self):
        """
        Set a group of histogram traces which will have compatible
        x-bin settings. Using `xbingroup`, histogram2d and
        histogram2dcontour traces  (on axes of the same axis type) can
        have compatible x-bin settings. Note that the same `xbingroup`
        value can be used to set (1D) histogram `bingroup`

        The 'xbingroup' property is a string and must be specified as:
          - A string
          - A number that will be converted to a string

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

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

    # xbins
    # -----
    @property
    def xbins(self):
        """
        The 'xbins' property is an instance of XBins
        that may be specified as:
          - An instance of :class:`plotly.graph_objs.histogram2dcontour.XBins`
          - A dict of string/value properties that will be passed
            to the XBins constructor

            Supported dict properties:

                end
                    Sets the end value for the x axis bins. The
                    last bin may not end exactly at this value, we
                    increment the bin edge by `size` from `start`
                    until we reach or exceed `end`. Defaults to the
                    maximum data value. Like `start`, for dates use
                    a date string, and for category data `end` is
                    based on the category serial numbers.
                size
                    Sets the size of each x axis bin. Default
                    behavior: If `nbinsx` is 0 or omitted, we
                    choose a nice round bin size such that the
                    number of bins is about the same as the typical
                    number of samples in each bin. If `nbinsx` is
                    provided, we choose a nice round bin size
                    giving no more than that many bins. For date
                    data, use milliseconds or "M<n>" for months, as
                    in `axis.dtick`. For category data, the number
                    of categories to bin together (always defaults
                    to 1).
                start
                    Sets the starting value for the x axis bins.
                    Defaults to the minimum data value, shifted
                    down if necessary to make nice round values and
                    to remove ambiguous bin edges. For example, if
                    most of the data is integers we shift the bin
                    edges 0.5 down, so a `size` of 5 would have a
                    default `start` of -0.5, so it is clear that
                    0-4 are in the first bin, 5-9 in the second,
                    but continuous data gets a start of 0 and bins
                    [0,5), [5,10) etc. Dates behave similarly, and
                    `start` should be a date string. For category
                    data, `start` is based on the category serial
                    numbers, and defaults to -0.5.

        Returns
        -------
        plotly.graph_objs.histogram2dcontour.XBins
        """
        return self["xbins"]

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

    # xcalendar
    # ---------
    @property
    def xcalendar(self):
        """
        Sets the calendar system to use with `x` date data.

        The 'xcalendar' property is an enumeration that may be specified as:
          - One of the following enumeration values:
                ['chinese', 'coptic', 'discworld', 'ethiopian',
                'gregorian', 'hebrew', 'islamic', 'jalali', 'julian',
                'mayan', 'nanakshahi', 'nepali', 'persian', 'taiwan',
                'thai', 'ummalqura']

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

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

    # xhoverformat
    # ------------
    @property
    def xhoverformat(self):
        """
        Sets the hover text formatting rulefor `x`  using d3 formatting
        mini-languages which are very similar to those in Python. For
        numbers, see:
        https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for
        dates see: https://github.com/d3/d3-time-
        format/tree/v2.2.3#locale_format. We add two items to d3's date
        formatter: "%h" for half of the year as a decimal number as
        well as "%{n}f" for fractional seconds with n digits. For
        example, *2016-10-13 09:15:23.456* with tickformat
        "%H~%M~%S.%2f" would display *09~15~23.46*By default the values
        are formatted using `xaxis.hoverformat`.

        The 'xhoverformat' property is a string and must be specified as:
          - A string
          - A number that will be converted to a string

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

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

    # xsrc
    # ----
    @property
    def xsrc(self):
        """
        Sets the source reference on Chart Studio Cloud for `x`.

        The 'xsrc' property must be specified as a string or
        as a plotly.grid_objs.Column object

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

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

    # y
    # -
    @property
    def y(self):
        """
        Sets the sample data to be binned on the y axis.

        The 'y' property is an array that may be specified as a tuple,
        list, numpy array, or pandas Series

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

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

    # yaxis
    # -----
    @property
    def yaxis(self):
        """
        Sets a reference between this trace's y coordinates and a 2D
        cartesian y axis. If "y" (the default value), the y coordinates
        refer to `layout.yaxis`. If "y2", the y coordinates refer to
        `layout.yaxis2`, and so on.

        The 'yaxis' property is an identifier of a particular
        subplot, of type 'y', that may be specified as the string 'y'
        optionally followed by an integer >= 1
        (e.g. 'y', 'y1', 'y2', 'y3', etc.)

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

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

    # ybingroup
    # ---------
    @property
    def ybingroup(self):
        """
        Set a group of histogram traces which will have compatible
        y-bin settings. Using `ybingroup`, histogram2d and
        histogram2dcontour traces  (on axes of the same axis type) can
        have compatible y-bin settings. Note that the same `ybingroup`
        value can be used to set (1D) histogram `bingroup`

        The 'ybingroup' property is a string and must be specified as:
          - A string
          - A number that will be converted to a string

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

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

    # ybins
    # -----
    @property
    def ybins(self):
        """
        The 'ybins' property is an instance of YBins
        that may be specified as:
          - An instance of :class:`plotly.graph_objs.histogram2dcontour.YBins`
          - A dict of string/value properties that will be passed
            to the YBins constructor

            Supported dict properties:

                end
                    Sets the end value for the y axis bins. The
                    last bin may not end exactly at this value, we
                    increment the bin edge by `size` from `start`
                    until we reach or exceed `end`. Defaults to the
                    maximum data value. Like `start`, for dates use
                    a date string, and for category data `end` is
                    based on the category serial numbers.
                size
                    Sets the size of each y axis bin. Default
                    behavior: If `nbinsy` is 0 or omitted, we
                    choose a nice round bin size such that the
                    number of bins is about the same as the typical
                    number of samples in each bin. If `nbinsy` is
                    provided, we choose a nice round bin size
                    giving no more than that many bins. For date
                    data, use milliseconds or "M<n>" for months, as
                    in `axis.dtick`. For category data, the number
                    of categories to bin together (always defaults
                    to 1).
                start
                    Sets the starting value for the y axis bins.
                    Defaults to the minimum data value, shifted
                    down if necessary to make nice round values and
                    to remove ambiguous bin edges. For example, if
                    most of the data is integers we shift the bin
                    edges 0.5 down, so a `size` of 5 would have a
                    default `start` of -0.5, so it is clear that
                    0-4 are in the first bin, 5-9 in the second,
                    but continuous data gets a start of 0 and bins
                    [0,5), [5,10) etc. Dates behave similarly, and
                    `start` should be a date string. For category
                    data, `start` is based on the category serial
                    numbers, and defaults to -0.5.

        Returns
        -------
        plotly.graph_objs.histogram2dcontour.YBins
        """
        return self["ybins"]

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

    # ycalendar
    # ---------
    @property
    def ycalendar(self):
        """
        Sets the calendar system to use with `y` date data.

        The 'ycalendar' property is an enumeration that may be specified as:
          - One of the following enumeration values:
                ['chinese', 'coptic', 'discworld', 'ethiopian',
                'gregorian', 'hebrew', 'islamic', 'jalali', 'julian',
                'mayan', 'nanakshahi', 'nepali', 'persian', 'taiwan',
                'thai', 'ummalqura']

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

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

    # yhoverformat
    # ------------
    @property
    def yhoverformat(self):
        """
        Sets the hover text formatting rulefor `y`  using d3 formatting
        mini-languages which are very similar to those in Python. For
        numbers, see:
        https://github.com/d3/d3-format/tree/v1.4.5#d3-format. And for
        dates see: https://github.com/d3/d3-time-
        format/tree/v2.2.3#locale_format. We add two items to d3's date
        formatter: "%h" for half of the year as a decimal number as
        well as "%{n}f" for fractional seconds with n digits. For
        example, *2016-10-13 09:15:23.456* with tickformat
        "%H~%M~%S.%2f" would display *09~15~23.46*By default the values
        are formatted using `yaxis.hoverformat`.

        The 'yhoverformat' property is a string and must be specified as:
          - A string
          - A number that will be converted to a string

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

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

    # ysrc
    # ----
    @property
    def ysrc(self):
        """
        Sets the source reference on Chart Studio Cloud for `y`.

        The 'ysrc' property must be specified as a string or
        as a plotly.grid_objs.Column object

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

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

    # z
    # -
    @property
    def z(self):
        """
        Sets the aggregation data.

        The 'z' property is an array that may be specified as a tuple,
        list, numpy array, or pandas Series

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

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

    # zauto
    # -----
    @property
    def zauto(self):
        """
        Determines whether or not the color domain is computed with
        respect to the input data (here in `z`) or the bounds set in
        `zmin` and `zmax` Defaults to `false` when `zmin` and `zmax`
        are set by the user.

        The 'zauto' property must be specified as a bool
        (either True, or False)

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

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

    # zhoverformat
    # ------------
    @property
    def zhoverformat(self):
        """
        Sets the hover text formatting rulefor `z`  using d3 formatting
        mini-languages which are very similar to those in Python. For
        numbers, see:
        https://github.com/d3/d3-format/tree/v1.4.5#d3-format.By
        default the values are formatted using generic number format.

        The 'zhoverformat' property is a string and must be specified as:
          - A string
          - A number that will be converted to a string

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

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

    # zmax
    # ----
    @property
    def zmax(self):
        """
        Sets the upper bound of the color domain. Value should have the
        same units as in `z` and if set, `zmin` must be set as well.

        The 'zmax' property is a number and may be specified as:
          - An int or float

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

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

    # zmid
    # ----
    @property
    def zmid(self):
        """
        Sets the mid-point of the color domain by scaling `zmin` and/or
        `zmax` to be equidistant to this point. Value should have the
        same units as in `z`. Has no effect when `zauto` is `false`.

        The 'zmid' property is a number and may be specified as:
          - An int or float

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

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

    # zmin
    # ----
    @property
    def zmin(self):
        """
        Sets the lower bound of the color domain. Value should have the
        same units as in `z` and if set, `zmax` must be set as well.

        The 'zmin' property is a number and may be specified as:
          - An int or float

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

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

    # zsrc
    # ----
    @property
    def zsrc(self):
        """
        Sets the source reference on Chart Studio Cloud for `z`.

        The 'zsrc' property must be specified as a string or
        as a plotly.grid_objs.Column object

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

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

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

    # Self properties description
    # ---------------------------
    @property
    def _prop_descriptions(self):
        return """\
        autobinx
            Obsolete: since v1.42 each bin attribute is auto-
            determined separately and `autobinx` is not needed.
            However, we accept `autobinx: true` or `false` and will
            update `xbins` accordingly before deleting `autobinx`
            from the trace.
        autobiny
            Obsolete: since v1.42 each bin attribute is auto-
            determined separately and `autobiny` is not needed.
            However, we accept `autobiny: true` or `false` and will
            update `ybins` accordingly before deleting `autobiny`
            from the trace.
        autocolorscale
            Determines whether the colorscale is a default palette
            (`autocolorscale: true`) or the palette determined by
            `colorscale`. In case `colorscale` is unspecified or
            `autocolorscale` is true, the default palette will be
            chosen according to whether numbers in the `color`
            array are all positive, all negative or mixed.
        autocontour
            Determines whether or not the contour level attributes
            are picked by an algorithm. If True, the number of
            contour levels can be set in `ncontours`. If False, set
            the contour level attributes in `contours`.
        bingroup
            Set the `xbingroup` and `ybingroup` default prefix For
            example, setting a `bingroup` of 1 on two histogram2d
            traces will make them their x-bins and y-bins match
            separately.
        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.histogram2dcontour.ColorBa
            r` instance or dict with compatible properties
        colorscale
            Sets the colorscale. The colorscale must be an array
            containing arrays mapping a normalized value to an rgb,
            rgba, hex, hsl, hsv, or named color string. At minimum,
            a mapping for the lowest (0) and highest (1) values are
            required. For example, `[[0, 'rgb(0,0,255)'], [1,
            'rgb(255,0,0)']]`. To control the bounds of the
            colorscale in color space, use `zmin` and `zmax`.
            Alternatively, `colorscale` may be a palette name
            string of the following list: Blackbody,Bluered,Blues,C
            ividis,Earth,Electric,Greens,Greys,Hot,Jet,Picnic,Portl
            and,Rainbow,RdBu,Reds,Viridis,YlGnBu,YlOrRd.
        contours
            :class:`plotly.graph_objects.histogram2dcontour.Contour
            s` instance or dict with compatible properties
        customdata
            Assigns extra data each datum. This may be useful when
            listening to hover, click and selection events. Note
            that, "scatter" traces also appends customdata items in
            the markers DOM elements
        customdatasrc
            Sets the source reference on Chart Studio Cloud for
            `customdata`.
        histfunc
            Specifies the binning function used for this histogram
            trace. If "count", the histogram values are computed by
            counting the number of values lying inside each bin. If
            "sum", "avg", "min", "max", the histogram values are
            computed using the sum, the average, the minimum or the
            maximum of the values lying inside each bin
            respectively.
        histnorm
            Specifies the type of normalization used for this
            histogram trace. If "", the span of each bar
            corresponds to the number of occurrences (i.e. the
            number of data points lying inside the bins). If
            "percent" / "probability", the span of each bar
            corresponds to the percentage / fraction of occurrences
            with respect to the total number of sample points
            (here, the sum of all bin HEIGHTS equals 100% / 1). If
            "density", the span of each bar corresponds to the
            number of occurrences in a bin divided by the size of
            the bin interval (here, the sum of all bin AREAS equals
            the total number of sample points). If *probability
            density*, the area of each bar corresponds to the
            probability that an event will fall into the
            corresponding bin (here, the sum of all bin AREAS
            equals 1).
        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.histogram2dcontour.Hoverla
            bel` instance or dict with compatible properties
        hovertemplate
            Template string used for rendering the information that
            appear on hover box. Note that this will override
            `hoverinfo`. Variables are inserted using %{variable},
            for example "y: %{y}" as well as %{xother}, {%_xother},
            {%_xother_}, {%xother_}. When showing info for several
            points, "xother" will be added to those with different
            x positions from the first point. An underscore before
            or after "(x|y)other" will add a space on that side,
            only when this field is shown. Numbers are formatted
            using d3-format's syntax %{variable:d3-format}, for
            example "Price: %{y:$.2f}".
            https://github.com/d3/d3-format/tree/v1.4.5#d3-format
            for details on the formatting syntax. Dates are
            formatted using d3-time-format's syntax
            %{variable|d3-time-format}, for example "Day:
            %{2019-01-01|%A}". https://github.com/d3/d3-time-
            format/tree/v2.2.3#locale_format for details on the
            date formatting syntax. The variables available in
            `hovertemplate` are the ones emitted as event data
            described at this link
            https://plotly.com/javascript/plotlyjs-events/#event-
            data. Additionally, every attributes that can be
            specified per-point (the ones that are `arrayOk: true`)
            are available. Finally, the template string has access
            to variable `z` 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`.
        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`.
        legend
            Sets the reference to a legend to show this trace in.
            References to these legends are "legend", "legend2",
            "legend3", etc. Settings for these legends are set in
            the layout, under `layout.legend`, `layout.legend2`,
            etc.
        legendgroup
            Sets the legend group for this trace. Traces and shapes
            part of the same legend group hide/show at the same
            time when toggling legend items.
        legendgrouptitle
            :class:`plotly.graph_objects.histogram2dcontour.Legendg
            rouptitle` instance or dict with compatible properties
        legendrank
            Sets the legend rank for this trace. Items and groups
            with smaller ranks are presented on top/left side while
            with "reversed" `legend.traceorder` they are on
            bottom/right side. The default legendrank is 1000, so
            that you can use ranks less than 1000 to place certain
            items before all unranked items, and ranks greater than
            1000 to go after all unranked items. When having
            unranked or equal rank items shapes would be displayed
            after traces i.e. according to their order in data and
            layout.
        legendwidth
            Sets the width (in px or fraction) of the legend for
            this trace.
        line
            :class:`plotly.graph_objects.histogram2dcontour.Line`
            instance or dict with compatible properties
        marker
            :class:`plotly.graph_objects.histogram2dcontour.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`.
        name
            Sets the trace name. The trace name appears as the
            legend item and on hover.
        nbinsx
            Specifies the maximum number of desired bins. This
            value will be used in an algorithm that will decide the
            optimal bin size such that the histogram best
            visualizes the distribution of the data. Ignored if
            `xbins.size` is provided.
        nbinsy
            Specifies the maximum number of desired bins. This
            value will be used in an algorithm that will decide the
            optimal bin size such that the histogram best
            visualizes the distribution of the data. Ignored if
            `ybins.size` is provided.
        ncontours
            Sets the maximum number of contour levels. The actual
            number of contours will be chosen automatically to be
            less than or equal to the value of `ncontours`. Has an
            effect only if `autocontour` is True or if
            `contours.size` is missing.
        opacity
            Sets the opacity of the trace.
        reversescale
            Reverses the color mapping if true. If true, `zmin`
            will correspond to the last color in the array and
            `zmax` will correspond to the first color.
        showlegend
            Determines whether or not an item corresponding to this
            trace is shown in the legend.
        showscale
            Determines whether or not a colorbar is displayed for
            this trace.
        stream
            :class:`plotly.graph_objects.histogram2dcontour.Stream`
            instance or dict with compatible properties
        textfont
            For this trace it only has an effect if `coloring` is
            set to "heatmap". Sets the text font.
        texttemplate
            For this trace it only has an effect if `coloring` is
            set to "heatmap". 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-format/tree/v1.4.5#d3-format
            for details on the formatting syntax. Dates are
            formatted using d3-time-format's syntax
            %{variable|d3-time-format}, for example "Day:
            %{2019-01-01|%A}". https://github.com/d3/d3-time-
            format/tree/v2.2.3#locale_format for details on the
            date formatting syntax. Every attributes that can be
            specified per-point (the ones that are `arrayOk: true`)
            are available. Finally, the template string has access
            to variables `x`, `y`, `z` and `text`.
        uid
            Assign an id to this trace, Use this to provide object
            constancy between traces during animations and
            transitions.
        uirevision
            Controls persistence of some user-driven changes to the
            trace: `constraintrange` in `parcoords` traces, as well
            as some `editable: true` modifications such as `name`
            and `colorbar.title`. Defaults to `layout.uirevision`.
            Note that other user-driven trace attribute changes are
            controlled by `layout` attributes: `trace.visible` is
            controlled by `layout.legend.uirevision`,
            `selectedpoints` is controlled by
            `layout.selectionrevision`, and `colorbar.(x|y)`
            (accessible with `config: {editable: true}`) is
            controlled by `layout.editrevision`. Trace changes are
            tracked by `uid`, which only falls back on trace index
            if no `uid` is provided. So if your app can add/remove
            traces before the end of the `data` array, such that
            the same trace has a different index, you can still
            preserve user-driven changes if you give each trace a
            `uid` that stays with it as it moves.
        visible
            Determines whether or not this trace is visible. If
            "legendonly", the trace is not drawn, but can appear as
            a legend item (provided that the legend itself is
            visible).
        x
            Sets the sample data to be binned on the x axis.
        xaxis
            Sets a reference between this trace's x coordinates and
            a 2D cartesian x axis. If "x" (the default value), the
            x coordinates refer to `layout.xaxis`. If "x2", the x
            coordinates refer to `layout.xaxis2`, and so on.
        xbingroup
            Set a group of histogram traces which will have
            compatible x-bin settings. Using `xbingroup`,
            histogram2d and histogram2dcontour traces  (on axes of
            the same axis type) can have compatible x-bin settings.
            Note that the same `xbingroup` value can be used to set
            (1D) histogram `bingroup`
        xbins
            :class:`plotly.graph_objects.histogram2dcontour.XBins`
            instance or dict with compatible properties
        xcalendar
            Sets the calendar system to use with `x` date data.
        xhoverformat
            Sets the hover text formatting rulefor `x`  using d3
            formatting mini-languages which are very similar to
            those in Python. For numbers, see:
            https://github.com/d3/d3-format/tree/v1.4.5#d3-format.
            And for dates see: https://github.com/d3/d3-time-
            format/tree/v2.2.3#locale_format. We add two items to
            d3's date formatter: "%h" for half of the year as a
            decimal number as well as "%{n}f" for fractional
            seconds with n digits. For example, *2016-10-13
            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
            display *09~15~23.46*By default the values are
            formatted using `xaxis.hoverformat`.
        xsrc
            Sets the source reference on Chart Studio Cloud for
            `x`.
        y
            Sets the sample data to be binned on the y axis.
        yaxis
            Sets a reference between this trace's y coordinates and
            a 2D cartesian y axis. If "y" (the default value), the
            y coordinates refer to `layout.yaxis`. If "y2", the y
            coordinates refer to `layout.yaxis2`, and so on.
        ybingroup
            Set a group of histogram traces which will have
            compatible y-bin settings. Using `ybingroup`,
            histogram2d and histogram2dcontour traces  (on axes of
            the same axis type) can have compatible y-bin settings.
            Note that the same `ybingroup` value can be used to set
            (1D) histogram `bingroup`
        ybins
            :class:`plotly.graph_objects.histogram2dcontour.YBins`
            instance or dict with compatible properties
        ycalendar
            Sets the calendar system to use with `y` date data.
        yhoverformat
            Sets the hover text formatting rulefor `y`  using d3
            formatting mini-languages which are very similar to
            those in Python. For numbers, see:
            https://github.com/d3/d3-format/tree/v1.4.5#d3-format.
            And for dates see: https://github.com/d3/d3-time-
            format/tree/v2.2.3#locale_format. We add two items to
            d3's date formatter: "%h" for half of the year as a
            decimal number as well as "%{n}f" for fractional
            seconds with n digits. For example, *2016-10-13
            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
            display *09~15~23.46*By default the values are
            formatted using `yaxis.hoverformat`.
        ysrc
            Sets the source reference on Chart Studio Cloud for
            `y`.
        z
            Sets the aggregation data.
        zauto
            Determines whether or not the color domain is computed
            with respect to the input data (here in `z`) or the
            bounds set in `zmin` and `zmax` Defaults to `false`
            when `zmin` and `zmax` are set by the user.
        zhoverformat
            Sets the hover text formatting rulefor `z`  using d3
            formatting mini-languages which are very similar to
            those in Python. For numbers, see: https://github.com/d
            3/d3-format/tree/v1.4.5#d3-format.By default the values
            are formatted using generic number format.
        zmax
            Sets the upper bound of the color domain. Value should
            have the same units as in `z` and if set, `zmin` must
            be set as well.
        zmid
            Sets the mid-point of the color domain by scaling
            `zmin` and/or `zmax` to be equidistant to this point.
            Value should have the same units as in `z`. Has no
            effect when `zauto` is `false`.
        zmin
            Sets the lower bound of the color domain. Value should
            have the same units as in `z` and if set, `zmax` must
            be set as well.
        zsrc
            Sets the source reference on Chart Studio Cloud for
            `z`.
        """

    def __init__(
        self,
        arg=None,
        autobinx=None,
        autobiny=None,
        autocolorscale=None,
        autocontour=None,
        bingroup=None,
        coloraxis=None,
        colorbar=None,
        colorscale=None,
        contours=None,
        customdata=None,
        customdatasrc=None,
        histfunc=None,
        histnorm=None,
        hoverinfo=None,
        hoverinfosrc=None,
        hoverlabel=None,
        hovertemplate=None,
        hovertemplatesrc=None,
        ids=None,
        idssrc=None,
        legend=None,
        legendgroup=None,
        legendgrouptitle=None,
        legendrank=None,
        legendwidth=None,
        line=None,
        marker=None,
        meta=None,
        metasrc=None,
        name=None,
        nbinsx=None,
        nbinsy=None,
        ncontours=None,
        opacity=None,
        reversescale=None,
        showlegend=None,
        showscale=None,
        stream=None,
        textfont=None,
        texttemplate=None,
        uid=None,
        uirevision=None,
        visible=None,
        x=None,
        xaxis=None,
        xbingroup=None,
        xbins=None,
        xcalendar=None,
        xhoverformat=None,
        xsrc=None,
        y=None,
        yaxis=None,
        ybingroup=None,
        ybins=None,
        ycalendar=None,
        yhoverformat=None,
        ysrc=None,
        z=None,
        zauto=None,
        zhoverformat=None,
        zmax=None,
        zmid=None,
        zmin=None,
        zsrc=None,
        **kwargs,
    ):
        """
        Construct a new Histogram2dContour object

        The sample data from which statistics are computed is set in
        `x` and `y` (where `x` and `y` represent marginal
        distributions, binning is set in `xbins` and `ybins` in this
        case) or `z` (where `z` represent the 2D distribution and
        binning set, binning is set by `x` and `y` in this case). The
        resulting distribution is visualized as a contour plot.

        Parameters
        ----------
        arg
            dict of properties compatible with this constructor or
            an instance of
            :class:`plotly.graph_objs.Histogram2dContour`
        autobinx
            Obsolete: since v1.42 each bin attribute is auto-
            determined separately and `autobinx` is not needed.
            However, we accept `autobinx: true` or `false` and will
            update `xbins` accordingly before deleting `autobinx`
            from the trace.
        autobiny
            Obsolete: since v1.42 each bin attribute is auto-
            determined separately and `autobiny` is not needed.
            However, we accept `autobiny: true` or `false` and will
            update `ybins` accordingly before deleting `autobiny`
            from the trace.
        autocolorscale
            Determines whether the colorscale is a default palette
            (`autocolorscale: true`) or the palette determined by
            `colorscale`. In case `colorscale` is unspecified or
            `autocolorscale` is true, the default palette will be
            chosen according to whether numbers in the `color`
            array are all positive, all negative or mixed.
        autocontour
            Determines whether or not the contour level attributes
            are picked by an algorithm. If True, the number of
            contour levels can be set in `ncontours`. If False, set
            the contour level attributes in `contours`.
        bingroup
            Set the `xbingroup` and `ybingroup` default prefix For
            example, setting a `bingroup` of 1 on two histogram2d
            traces will make them their x-bins and y-bins match
            separately.
        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.histogram2dcontour.ColorBa
            r` instance or dict with compatible properties
        colorscale
            Sets the colorscale. The colorscale must be an array
            containing arrays mapping a normalized value to an rgb,
            rgba, hex, hsl, hsv, or named color string. At minimum,
            a mapping for the lowest (0) and highest (1) values are
            required. For example, `[[0, 'rgb(0,0,255)'], [1,
            'rgb(255,0,0)']]`. To control the bounds of the
            colorscale in color space, use `zmin` and `zmax`.
            Alternatively, `colorscale` may be a palette name
            string of the following list: Blackbody,Bluered,Blues,C
            ividis,Earth,Electric,Greens,Greys,Hot,Jet,Picnic,Portl
            and,Rainbow,RdBu,Reds,Viridis,YlGnBu,YlOrRd.
        contours
            :class:`plotly.graph_objects.histogram2dcontour.Contour
            s` instance or dict with compatible properties
        customdata
            Assigns extra data each datum. This may be useful when
            listening to hover, click and selection events. Note
            that, "scatter" traces also appends customdata items in
            the markers DOM elements
        customdatasrc
            Sets the source reference on Chart Studio Cloud for
            `customdata`.
        histfunc
            Specifies the binning function used for this histogram
            trace. If "count", the histogram values are computed by
            counting the number of values lying inside each bin. If
            "sum", "avg", "min", "max", the histogram values are
            computed using the sum, the average, the minimum or the
            maximum of the values lying inside each bin
            respectively.
        histnorm
            Specifies the type of normalization used for this
            histogram trace. If "", the span of each bar
            corresponds to the number of occurrences (i.e. the
            number of data points lying inside the bins). If
            "percent" / "probability", the span of each bar
            corresponds to the percentage / fraction of occurrences
            with respect to the total number of sample points
            (here, the sum of all bin HEIGHTS equals 100% / 1). If
            "density", the span of each bar corresponds to the
            number of occurrences in a bin divided by the size of
            the bin interval (here, the sum of all bin AREAS equals
            the total number of sample points). If *probability
            density*, the area of each bar corresponds to the
            probability that an event will fall into the
            corresponding bin (here, the sum of all bin AREAS
            equals 1).
        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.histogram2dcontour.Hoverla
            bel` instance or dict with compatible properties
        hovertemplate
            Template string used for rendering the information that
            appear on hover box. Note that this will override
            `hoverinfo`. Variables are inserted using %{variable},
            for example "y: %{y}" as well as %{xother}, {%_xother},
            {%_xother_}, {%xother_}. When showing info for several
            points, "xother" will be added to those with different
            x positions from the first point. An underscore before
            or after "(x|y)other" will add a space on that side,
            only when this field is shown. Numbers are formatted
            using d3-format's syntax %{variable:d3-format}, for
            example "Price: %{y:$.2f}".
            https://github.com/d3/d3-format/tree/v1.4.5#d3-format
            for details on the formatting syntax. Dates are
            formatted using d3-time-format's syntax
            %{variable|d3-time-format}, for example "Day:
            %{2019-01-01|%A}". https://github.com/d3/d3-time-
            format/tree/v2.2.3#locale_format for details on the
            date formatting syntax. The variables available in
            `hovertemplate` are the ones emitted as event data
            described at this link
            https://plotly.com/javascript/plotlyjs-events/#event-
            data. Additionally, every attributes that can be
            specified per-point (the ones that are `arrayOk: true`)
            are available. Finally, the template string has access
            to variable `z` 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`.
        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`.
        legend
            Sets the reference to a legend to show this trace in.
            References to these legends are "legend", "legend2",
            "legend3", etc. Settings for these legends are set in
            the layout, under `layout.legend`, `layout.legend2`,
            etc.
        legendgroup
            Sets the legend group for this trace. Traces and shapes
            part of the same legend group hide/show at the same
            time when toggling legend items.
        legendgrouptitle
            :class:`plotly.graph_objects.histogram2dcontour.Legendg
            rouptitle` instance or dict with compatible properties
        legendrank
            Sets the legend rank for this trace. Items and groups
            with smaller ranks are presented on top/left side while
            with "reversed" `legend.traceorder` they are on
            bottom/right side. The default legendrank is 1000, so
            that you can use ranks less than 1000 to place certain
            items before all unranked items, and ranks greater than
            1000 to go after all unranked items. When having
            unranked or equal rank items shapes would be displayed
            after traces i.e. according to their order in data and
            layout.
        legendwidth
            Sets the width (in px or fraction) of the legend for
            this trace.
        line
            :class:`plotly.graph_objects.histogram2dcontour.Line`
            instance or dict with compatible properties
        marker
            :class:`plotly.graph_objects.histogram2dcontour.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`.
        name
            Sets the trace name. The trace name appears as the
            legend item and on hover.
        nbinsx
            Specifies the maximum number of desired bins. This
            value will be used in an algorithm that will decide the
            optimal bin size such that the histogram best
            visualizes the distribution of the data. Ignored if
            `xbins.size` is provided.
        nbinsy
            Specifies the maximum number of desired bins. This
            value will be used in an algorithm that will decide the
            optimal bin size such that the histogram best
            visualizes the distribution of the data. Ignored if
            `ybins.size` is provided.
        ncontours
            Sets the maximum number of contour levels. The actual
            number of contours will be chosen automatically to be
            less than or equal to the value of `ncontours`. Has an
            effect only if `autocontour` is True or if
            `contours.size` is missing.
        opacity
            Sets the opacity of the trace.
        reversescale
            Reverses the color mapping if true. If true, `zmin`
            will correspond to the last color in the array and
            `zmax` will correspond to the first color.
        showlegend
            Determines whether or not an item corresponding to this
            trace is shown in the legend.
        showscale
            Determines whether or not a colorbar is displayed for
            this trace.
        stream
            :class:`plotly.graph_objects.histogram2dcontour.Stream`
            instance or dict with compatible properties
        textfont
            For this trace it only has an effect if `coloring` is
            set to "heatmap". Sets the text font.
        texttemplate
            For this trace it only has an effect if `coloring` is
            set to "heatmap". 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-format/tree/v1.4.5#d3-format
            for details on the formatting syntax. Dates are
            formatted using d3-time-format's syntax
            %{variable|d3-time-format}, for example "Day:
            %{2019-01-01|%A}". https://github.com/d3/d3-time-
            format/tree/v2.2.3#locale_format for details on the
            date formatting syntax. Every attributes that can be
            specified per-point (the ones that are `arrayOk: true`)
            are available. Finally, the template string has access
            to variables `x`, `y`, `z` and `text`.
        uid
            Assign an id to this trace, Use this to provide object
            constancy between traces during animations and
            transitions.
        uirevision
            Controls persistence of some user-driven changes to the
            trace: `constraintrange` in `parcoords` traces, as well
            as some `editable: true` modifications such as `name`
            and `colorbar.title`. Defaults to `layout.uirevision`.
            Note that other user-driven trace attribute changes are
            controlled by `layout` attributes: `trace.visible` is
            controlled by `layout.legend.uirevision`,
            `selectedpoints` is controlled by
            `layout.selectionrevision`, and `colorbar.(x|y)`
            (accessible with `config: {editable: true}`) is
            controlled by `layout.editrevision`. Trace changes are
            tracked by `uid`, which only falls back on trace index
            if no `uid` is provided. So if your app can add/remove
            traces before the end of the `data` array, such that
            the same trace has a different index, you can still
            preserve user-driven changes if you give each trace a
            `uid` that stays with it as it moves.
        visible
            Determines whether or not this trace is visible. If
            "legendonly", the trace is not drawn, but can appear as
            a legend item (provided that the legend itself is
            visible).
        x
            Sets the sample data to be binned on the x axis.
        xaxis
            Sets a reference between this trace's x coordinates and
            a 2D cartesian x axis. If "x" (the default value), the
            x coordinates refer to `layout.xaxis`. If "x2", the x
            coordinates refer to `layout.xaxis2`, and so on.
        xbingroup
            Set a group of histogram traces which will have
            compatible x-bin settings. Using `xbingroup`,
            histogram2d and histogram2dcontour traces  (on axes of
            the same axis type) can have compatible x-bin settings.
            Note that the same `xbingroup` value can be used to set
            (1D) histogram `bingroup`
        xbins
            :class:`plotly.graph_objects.histogram2dcontour.XBins`
            instance or dict with compatible properties
        xcalendar
            Sets the calendar system to use with `x` date data.
        xhoverformat
            Sets the hover text formatting rulefor `x`  using d3
            formatting mini-languages which are very similar to
            those in Python. For numbers, see:
            https://github.com/d3/d3-format/tree/v1.4.5#d3-format.
            And for dates see: https://github.com/d3/d3-time-
            format/tree/v2.2.3#locale_format. We add two items to
            d3's date formatter: "%h" for half of the year as a
            decimal number as well as "%{n}f" for fractional
            seconds with n digits. For example, *2016-10-13
            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
            display *09~15~23.46*By default the values are
            formatted using `xaxis.hoverformat`.
        xsrc
            Sets the source reference on Chart Studio Cloud for
            `x`.
        y
            Sets the sample data to be binned on the y axis.
        yaxis
            Sets a reference between this trace's y coordinates and
            a 2D cartesian y axis. If "y" (the default value), the
            y coordinates refer to `layout.yaxis`. If "y2", the y
            coordinates refer to `layout.yaxis2`, and so on.
        ybingroup
            Set a group of histogram traces which will have
            compatible y-bin settings. Using `ybingroup`,
            histogram2d and histogram2dcontour traces  (on axes of
            the same axis type) can have compatible y-bin settings.
            Note that the same `ybingroup` value can be used to set
            (1D) histogram `bingroup`
        ybins
            :class:`plotly.graph_objects.histogram2dcontour.YBins`
            instance or dict with compatible properties
        ycalendar
            Sets the calendar system to use with `y` date data.
        yhoverformat
            Sets the hover text formatting rulefor `y`  using d3
            formatting mini-languages which are very similar to
            those in Python. For numbers, see:
            https://github.com/d3/d3-format/tree/v1.4.5#d3-format.
            And for dates see: https://github.com/d3/d3-time-
            format/tree/v2.2.3#locale_format. We add two items to
            d3's date formatter: "%h" for half of the year as a
            decimal number as well as "%{n}f" for fractional
            seconds with n digits. For example, *2016-10-13
            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
            display *09~15~23.46*By default the values are
            formatted using `yaxis.hoverformat`.
        ysrc
            Sets the source reference on Chart Studio Cloud for
            `y`.
        z
            Sets the aggregation data.
        zauto
            Determines whether or not the color domain is computed
            with respect to the input data (here in `z`) or the
            bounds set in `zmin` and `zmax` Defaults to `false`
            when `zmin` and `zmax` are set by the user.
        zhoverformat
            Sets the hover text formatting rulefor `z`  using d3
            formatting mini-languages which are very similar to
            those in Python. For numbers, see: https://github.com/d
            3/d3-format/tree/v1.4.5#d3-format.By default the values
            are formatted using generic number format.
        zmax
            Sets the upper bound of the color domain. Value should
            have the same units as in `z` and if set, `zmin` must
            be set as well.
        zmid
            Sets the mid-point of the color domain by scaling
            `zmin` and/or `zmax` to be equidistant to this point.
            Value should have the same units as in `z`. Has no
            effect when `zauto` is `false`.
        zmin
            Sets the lower bound of the color domain. Value should
            have the same units as in `z` and if set, `zmax` must
            be set as well.
        zsrc
            Sets the source reference on Chart Studio Cloud for
            `z`.

        Returns
        -------
        Histogram2dContour
        """
        super(Histogram2dContour, self).__init__("histogram2dcontour")

        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.Histogram2dContour
constructor must be a dict or
an instance of :class:`plotly.graph_objs.Histogram2dContour`"""
            )

        # 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("autobinx", None)
        _v = autobinx if autobinx is not None else _v
        if _v is not None:
            self["autobinx"] = _v
        _v = arg.pop("autobiny", None)
        _v = autobiny if autobiny is not None else _v
        if _v is not None:
            self["autobiny"] = _v
        _v = arg.pop("autocolorscale", None)
        _v = autocolorscale if autocolorscale is not None else _v
        if _v is not None:
            self["autocolorscale"] = _v
        _v = arg.pop("autocontour", None)
        _v = autocontour if autocontour is not None else _v
        if _v is not None:
            self["autocontour"] = _v
        _v = arg.pop("bingroup", None)
        _v = bingroup if bingroup is not None else _v
        if _v is not None:
            self["bingroup"] = _v
        _v = arg.pop("coloraxis", None)
        _v = coloraxis if coloraxis is not None else _v
        if _v is not None:
            self["coloraxis"] = _v
        _v = arg.pop("colorbar", None)
        _v = colorbar if colorbar is not None else _v
        if _v is not None:
            self["colorbar"] = _v
        _v = arg.pop("colorscale", None)
        _v = colorscale if colorscale is not None else _v
        if _v is not None:
            self["colorscale"] = _v
        _v = arg.pop("contours", None)
        _v = contours if contours is not None else _v
        if _v is not None:
            self["contours"] = _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("histfunc", None)
        _v = histfunc if histfunc is not None else _v
        if _v is not None:
            self["histfunc"] = _v
        _v = arg.pop("histnorm", None)
        _v = histnorm if histnorm is not None else _v
        if _v is not None:
            self["histnorm"] = _v
        _v = arg.pop("hoverinfo", None)
        _v = hoverinfo if hoverinfo is not None else _v
        if _v is not None:
            self["hoverinfo"] = _v
        _v = arg.pop("hoverinfosrc", None)
        _v = hoverinfosrc if hoverinfosrc is not None else _v
        if _v is not None:
            self["hoverinfosrc"] = _v
        _v = arg.pop("hoverlabel", None)
        _v = hoverlabel if hoverlabel is not None else _v
        if _v is not None:
            self["hoverlabel"] = _v
        _v = arg.pop("hovertemplate", None)
        _v = hovertemplate if hovertemplate is not None else _v
        if _v is not None:
            self["hovertemplate"] = _v
        _v = arg.pop("hovertemplatesrc", None)
        _v = hovertemplatesrc if hovertemplatesrc is not None else _v
        if _v is not None:
            self["hovertemplatesrc"] = _v
        _v = arg.pop("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("legend", None)
        _v = legend if legend is not None else _v
        if _v is not None:
            self["legend"] = _v
        _v = arg.pop("legendgroup", None)
        _v = legendgroup if legendgroup is not None else _v
        if _v is not None:
            self["legendgroup"] = _v
        _v = arg.pop("legendgrouptitle", None)
        _v = legendgrouptitle if legendgrouptitle is not None else _v
        if _v is not None:
            self["legendgrouptitle"] = _v
        _v = arg.pop("legendrank", None)
        _v = legendrank if legendrank is not None else _v
        if _v is not None:
            self["legendrank"] = _v
        _v = arg.pop("legendwidth", None)
        _v = legendwidth if legendwidth is not None else _v
        if _v is not None:
            self["legendwidth"] = _v
        _v = arg.pop("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("name", None)
        _v = name if name is not None else _v
        if _v is not None:
            self["name"] = _v
        _v = arg.pop("nbinsx", None)
        _v = nbinsx if nbinsx is not None else _v
        if _v is not None:
            self["nbinsx"] = _v
        _v = arg.pop("nbinsy", None)
        _v = nbinsy if nbinsy is not None else _v
        if _v is not None:
            self["nbinsy"] = _v
        _v = arg.pop("ncontours", None)
        _v = ncontours if ncontours is not None else _v
        if _v is not None:
            self["ncontours"] = _v
        _v = arg.pop("opacity", None)
        _v = opacity if opacity is not None else _v
        if _v is not None:
            self["opacity"] = _v
        _v = arg.pop("reversescale", None)
        _v = reversescale if reversescale is not None else _v
        if _v is not None:
            self["reversescale"] = _v
        _v = arg.pop("showlegend", None)
        _v = showlegend if showlegend is not None else _v
        if _v is not None:
            self["showlegend"] = _v
        _v = arg.pop("showscale", None)
        _v = showscale if showscale is not None else _v
        if _v is not None:
            self["showscale"] = _v
        _v = arg.pop("stream", None)
        _v = stream if stream is not None else _v
        if _v is not None:
            self["stream"] = _v
        _v = arg.pop("textfont", None)
        _v = textfont if textfont is not None else _v
        if _v is not None:
            self["textfont"] = _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("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("visible", None)
        _v = visible if visible is not None else _v
        if _v is not None:
            self["visible"] = _v
        _v = arg.pop("x", None)
        _v = x if x is not None else _v
        if _v is not None:
            self["x"] = _v
        _v = arg.pop("xaxis", None)
        _v = xaxis if xaxis is not None else _v
        if _v is not None:
            self["xaxis"] = _v
        _v = arg.pop("xbingroup", None)
        _v = xbingroup if xbingroup is not None else _v
        if _v is not None:
            self["xbingroup"] = _v
        _v = arg.pop("xbins", None)
        _v = xbins if xbins is not None else _v
        if _v is not None:
            self["xbins"] = _v
        _v = arg.pop("xcalendar", None)
        _v = xcalendar if xcalendar is not None else _v
        if _v is not None:
            self["xcalendar"] = _v
        _v = arg.pop("xhoverformat", None)
        _v = xhoverformat if xhoverformat is not None else _v
        if _v is not None:
            self["xhoverformat"] = _v
        _v = arg.pop("xsrc", None)
        _v = xsrc if xsrc is not None else _v
        if _v is not None:
            self["xsrc"] = _v
        _v = arg.pop("y", None)
        _v = y if y is not None else _v
        if _v is not None:
            self["y"] = _v
        _v = arg.pop("yaxis", None)
        _v = yaxis if yaxis is not None else _v
        if _v is not None:
            self["yaxis"] = _v
        _v = arg.pop("ybingroup", None)
        _v = ybingroup if ybingroup is not None else _v
        if _v is not None:
            self["ybingroup"] = _v
        _v = arg.pop("ybins", None)
        _v = ybins if ybins is not None else _v
        if _v is not None:
            self["ybins"] = _v
        _v = arg.pop("ycalendar", None)
        _v = ycalendar if ycalendar is not None else _v
        if _v is not None:
            self["ycalendar"] = _v
        _v = arg.pop("yhoverformat", None)
        _v = yhoverformat if yhoverformat is not None else _v
        if _v is not None:
            self["yhoverformat"] = _v
        _v = arg.pop("ysrc", None)
        _v = ysrc if ysrc is not None else _v
        if _v is not None:
            self["ysrc"] = _v
        _v = arg.pop("z", None)
        _v = z if z is not None else _v
        if _v is not None:
            self["z"] = _v
        _v = arg.pop("zauto", None)
        _v = zauto if zauto is not None else _v
        if _v is not None:
            self["zauto"] = _v
        _v = arg.pop("zhoverformat", None)
        _v = zhoverformat if zhoverformat is not None else _v
        if _v is not None:
            self["zhoverformat"] = _v
        _v = arg.pop("zmax", None)
        _v = zmax if zmax is not None else _v
        if _v is not None:
            self["zmax"] = _v
        _v = arg.pop("zmid", None)
        _v = zmid if zmid is not None else _v
        if _v is not None:
            self["zmid"] = _v
        _v = arg.pop("zmin", None)
        _v = zmin if zmin is not None else _v
        if _v is not None:
            self["zmin"] = _v
        _v = arg.pop("zsrc", None)
        _v = zsrc if zsrc is not None else _v
        if _v is not None:
            self["zsrc"] = _v

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

        self._props["type"] = "histogram2dcontour"
        arg.pop("type", None)

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

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