#                   --- THIS FILE IS AUTO-GENERATED ---
# Modifications will be overwitten the next time code generation run.

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


class Splom(_BaseTraceType):
    _parent_path_str = ""
    _path_str = "splom"
    _valid_props = {
        "customdata",
        "customdatasrc",
        "diagonal",
        "dimensiondefaults",
        "dimensions",
        "hoverinfo",
        "hoverinfosrc",
        "hoverlabel",
        "hovertemplate",
        "hovertemplatefallback",
        "hovertemplatesrc",
        "hovertext",
        "hovertextsrc",
        "ids",
        "idssrc",
        "legend",
        "legendgroup",
        "legendgrouptitle",
        "legendrank",
        "legendwidth",
        "marker",
        "meta",
        "metasrc",
        "name",
        "opacity",
        "selected",
        "selectedpoints",
        "showlegend",
        "showlowerhalf",
        "showupperhalf",
        "stream",
        "text",
        "textsrc",
        "type",
        "uid",
        "uirevision",
        "unselected",
        "visible",
        "xaxes",
        "xhoverformat",
        "yaxes",
        "yhoverformat",
    }

    @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

    @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

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

        Returns
        -------
        plotly.graph_objs.splom.Diagonal
        """
        return self["diagonal"]

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

    @property
    def dimensions(self):
        """
        The 'dimensions' property is a tuple of instances of
        Dimension that may be specified as:
          - A list or tuple of instances of plotly.graph_objs.splom.Dimension
          - A list or tuple of dicts of string/value properties that
            will be passed to the Dimension constructor

        Returns
        -------
        tuple[plotly.graph_objs.splom.Dimension]
        """
        return self["dimensions"]

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

    @property
    def dimensiondefaults(self):
        """
        When used in a template (as
        layout.template.data.splom.dimensiondefaults), sets the default
        property values to use for elements of splom.dimensions

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

        Returns
        -------
        plotly.graph_objs.splom.Dimension
        """
        return self["dimensiondefaults"]

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

    @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

    @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

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

        Returns
        -------
        plotly.graph_objs.splom.Hoverlabel
        """
        return self["hoverlabel"]

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

    @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. Variables that can't be found will be
        replaced with the specifier. For example, a template of "data:
        %{x}, %{y}" will result in a value of "data: 1, %{y}" if x is 1
        and y is missing. Variables with an undefined value will be
        replaced with the fallback value. 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, all attributes that can be specified per-
        point (the ones that are `arrayOk: true`) are available.
        Anything contained in tag `<extra>` is displayed in the
        secondary box, for example `<extra>%{fullData.name}</extra>`.
        To hide the secondary box completely, use an empty tag
        `<extra></extra>`.

        The 'hovertemplate' property is a string and must be specified as:
          - A string
          - A number that will be converted to a string
          - A tuple, list, or one-dimensional numpy array of the above

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

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

    @property
    def hovertemplatefallback(self):
        """
        Fallback string that's displayed when a variable referenced in
        a template is missing. If the boolean value 'false' is passed
        in, the specifier with the missing variable will be displayed.

        The 'hovertemplatefallback' property accepts values of any type

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

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

    @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

    @property
    def hovertext(self):
        """
        Same as `text`.

        The 'hovertext' property is a string and must be specified as:
          - A string
          - A number that will be converted to a string
          - A tuple, list, or one-dimensional numpy array of the above

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

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

    @property
    def hovertextsrc(self):
        """
        Sets the source reference on Chart Studio Cloud for
        `hovertext`.

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

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

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

    @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

    @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

    @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

    @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

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

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

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

    @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

    @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

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

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

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

    @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

    @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

    @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

    @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

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

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

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

    @property
    def selectedpoints(self):
        """
        Array containing integer indices of selected points. Has an
        effect only for traces that support selections. Note that an
        empty array means an empty selection where the `unselected` are
        turned on for all points, whereas, any other non-array values
        means no selection all where the `selected` and `unselected`
        styles have no effect.

        The 'selectedpoints' property accepts values of any type

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

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

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

        The 'showlegend' property is a boolean and must be specified as:
          - A boolean value: True or False

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

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

    @property
    def showlowerhalf(self):
        """
        Determines whether or not subplots on the lower half from the
        diagonal are displayed.

        The 'showlowerhalf' property is a boolean and must be specified as:
          - A boolean value: True or False

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

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

    @property
    def showupperhalf(self):
        """
        Determines whether or not subplots on the upper half from the
        diagonal are displayed.

        The 'showupperhalf' property is a boolean and must be specified as:
          - A boolean value: True or False

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

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

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

        Returns
        -------
        plotly.graph_objs.splom.Stream
        """
        return self["stream"]

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

    @property
    def text(self):
        """
        Sets text elements associated with each (x,y) pair to appear on
        hover. If a single string, the same string appears over all the
        data points. If an array of string, the items are mapped in
        order to the this trace's (x,y) coordinates.

        The 'text' property is a string and must be specified as:
          - A string
          - A number that will be converted to a string
          - A tuple, list, or one-dimensional numpy array of the above

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

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

    @property
    def textsrc(self):
        """
        Sets the source reference on Chart Studio Cloud for `text`.

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

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

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

    @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

    @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

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

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

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

    @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

    @property
    def xaxes(self):
        """
        Sets the list of x axes corresponding to dimensions of this
        splom trace. By default, a splom will match the first N xaxes
        where N is the number of input dimensions. Note that, in case
        where `diagonal.visible` is false and `showupperhalf` or
        `showlowerhalf` is false, this splom trace will generate one
        less x-axis and one less y-axis.

        The 'xaxes' property is an info array that may be specified as:
        * a list of elements where:
          The 'xaxes[i]' 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
        -------
        list
        """
        return self["xaxes"]

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

    @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

    @property
    def yaxes(self):
        """
        Sets the list of y axes corresponding to dimensions of this
        splom trace. By default, a splom will match the first N yaxes
        where N is the number of input dimensions. Note that, in case
        where `diagonal.visible` is false and `showupperhalf` or
        `showlowerhalf` is false, this splom trace will generate one
        less x-axis and one less y-axis.

        The 'yaxes' property is an info array that may be specified as:
        * a list of elements where:
          The 'yaxes[i]' 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
        -------
        list
        """
        return self["yaxes"]

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

    @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

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

    @property
    def _prop_descriptions(self):
        return """\
        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`.
        diagonal
            :class:`plotly.graph_objects.splom.Diagonal` instance
            or dict with compatible properties
        dimensions
            A tuple of
            :class:`plotly.graph_objects.splom.Dimension` instances
            or dicts with compatible properties
        dimensiondefaults
            When used in a template (as
            layout.template.data.splom.dimensiondefaults), sets the
            default property values to use for elements of
            splom.dimensions
        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.splom.Hoverlabel` instance
            or dict with compatible properties
        hovertemplate
            Template string used for rendering the information that
            appear on hover box. Note that this will override
            `hoverinfo`. Variables are inserted using %{variable},
            for example "y: %{y}" as well as %{xother}, {%_xother},
            {%_xother_}, {%xother_}. When showing info for several
            points, "xother" will be added to those with different
            x positions from the first point. An underscore before
            or after "(x|y)other" will add a space on that side,
            only when this field is shown. Numbers are formatted
            using d3-format's syntax %{variable:d3-format}, for
            example "Price: %{y:$.2f}".
            https://github.com/d3/d3-format/tree/v1.4.5#d3-format
            for details on the formatting syntax. Dates are
            formatted using d3-time-format's syntax
            %{variable|d3-time-format}, for example "Day:
            %{2019-01-01|%A}". https://github.com/d3/d3-time-
            format/tree/v2.2.3#locale_format for details on the
            date formatting syntax. Variables that can't be found
            will be replaced with the specifier. For example, a
            template of "data: %{x}, %{y}" will result in a value
            of "data: 1, %{y}" if x is 1 and y is missing.
            Variables with an undefined value will be replaced with
            the fallback value. 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, all attributes that can be
            specified per-point (the ones that are `arrayOk: true`)
            are available.  Anything contained in tag `<extra>` is
            displayed in the secondary box, for example
            `<extra>%{fullData.name}</extra>`. To hide the
            secondary box completely, use an empty tag
            `<extra></extra>`.
        hovertemplatefallback
            Fallback string that's displayed when a variable
            referenced in a template is missing. If the boolean
            value 'false' is passed in, the specifier with the
            missing variable will be displayed.
        hovertemplatesrc
            Sets the source reference on Chart Studio Cloud for
            `hovertemplate`.
        hovertext
            Same as `text`.
        hovertextsrc
            Sets the source reference on Chart Studio Cloud for
            `hovertext`.
        ids
            Assigns id labels to each datum. These ids for object
            constancy of data points during animation. Should be an
            array of strings, not numbers or any other type.
        idssrc
            Sets the source reference on Chart Studio Cloud for
            `ids`.
        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.splom.Legendgrouptitle`
            instance or dict with compatible properties
        legendrank
            Sets the legend rank for this trace. Items and groups
            with smaller ranks are presented on top/left side while
            with "reversed" `legend.traceorder` they are on
            bottom/right side. The default legendrank is 1000, so
            that you can use ranks less than 1000 to place certain
            items before all unranked items, and ranks greater than
            1000 to go after all unranked items. 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.
        marker
            :class:`plotly.graph_objects.splom.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.
        opacity
            Sets the opacity of the trace.
        selected
            :class:`plotly.graph_objects.splom.Selected` instance
            or dict with compatible properties
        selectedpoints
            Array containing integer indices of selected points.
            Has an effect only for traces that support selections.
            Note that an empty array means an empty selection where
            the `unselected` are turned on for all points, whereas,
            any other non-array values means no selection all where
            the `selected` and `unselected` styles have no effect.
        showlegend
            Determines whether or not an item corresponding to this
            trace is shown in the legend.
        showlowerhalf
            Determines whether or not subplots on the lower half
            from the diagonal are displayed.
        showupperhalf
            Determines whether or not subplots on the upper half
            from the diagonal are displayed.
        stream
            :class:`plotly.graph_objects.splom.Stream` instance or
            dict with compatible properties
        text
            Sets text elements associated with each (x,y) pair to
            appear on hover. If a single string, the same string
            appears over all the data points. If an array of
            string, the items are mapped in order to the this
            trace's (x,y) coordinates.
        textsrc
            Sets the source reference on Chart Studio Cloud for
            `text`.
        uid
            Assign an id to this trace, Use this to provide object
            constancy between traces during animations and
            transitions.
        uirevision
            Controls persistence of some user-driven changes to the
            trace: `constraintrange` in `parcoords` traces, as well
            as some `editable: true` modifications such as `name`
            and `colorbar.title`. Defaults to `layout.uirevision`.
            Note that other user-driven trace attribute changes are
            controlled by `layout` attributes: `trace.visible` is
            controlled by `layout.legend.uirevision`,
            `selectedpoints` is controlled by
            `layout.selectionrevision`, and `colorbar.(x|y)`
            (accessible with `config: {editable: true}`) is
            controlled by `layout.editrevision`. Trace changes are
            tracked by `uid`, which only falls back on trace index
            if no `uid` is provided. So if your app can add/remove
            traces before the end of the `data` array, such that
            the same trace has a different index, you can still
            preserve user-driven changes if you give each trace a
            `uid` that stays with it as it moves.
        unselected
            :class:`plotly.graph_objects.splom.Unselected` instance
            or dict with compatible properties
        visible
            Determines whether or not this trace is visible. If
            "legendonly", the trace is not drawn, but can appear as
            a legend item (provided that the legend itself is
            visible).
        xaxes
            Sets the list of x axes corresponding to dimensions of
            this splom trace. By default, a splom will match the
            first N xaxes where N is the number of input
            dimensions. Note that, in case where `diagonal.visible`
            is false and `showupperhalf` or `showlowerhalf` is
            false, this splom trace will generate one less x-axis
            and one less y-axis.
        xhoverformat
            Sets the hover text formatting rulefor `x`  using d3
            formatting mini-languages which are very similar to
            those in Python. For numbers, see:
            https://github.com/d3/d3-format/tree/v1.4.5#d3-format.
            And for dates see: https://github.com/d3/d3-time-
            format/tree/v2.2.3#locale_format. We add two items to
            d3's date formatter: "%h" for half of the year as a
            decimal number as well as "%{n}f" for fractional
            seconds with n digits. For example, *2016-10-13
            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
            display *09~15~23.46*By default the values are
            formatted using `xaxis.hoverformat`.
        yaxes
            Sets the list of y axes corresponding to dimensions of
            this splom trace. By default, a splom will match the
            first N yaxes where N is the number of input
            dimensions. Note that, in case where `diagonal.visible`
            is false and `showupperhalf` or `showlowerhalf` is
            false, this splom trace will generate one less x-axis
            and one less y-axis.
        yhoverformat
            Sets the hover text formatting rulefor `y`  using d3
            formatting mini-languages which are very similar to
            those in Python. For numbers, see:
            https://github.com/d3/d3-format/tree/v1.4.5#d3-format.
            And for dates see: https://github.com/d3/d3-time-
            format/tree/v2.2.3#locale_format. We add two items to
            d3's date formatter: "%h" for half of the year as a
            decimal number as well as "%{n}f" for fractional
            seconds with n digits. For example, *2016-10-13
            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
            display *09~15~23.46*By default the values are
            formatted using `yaxis.hoverformat`.
        """

    def __init__(
        self,
        arg=None,
        customdata=None,
        customdatasrc=None,
        diagonal=None,
        dimensions=None,
        dimensiondefaults=None,
        hoverinfo=None,
        hoverinfosrc=None,
        hoverlabel=None,
        hovertemplate=None,
        hovertemplatefallback=None,
        hovertemplatesrc=None,
        hovertext=None,
        hovertextsrc=None,
        ids=None,
        idssrc=None,
        legend=None,
        legendgroup=None,
        legendgrouptitle=None,
        legendrank=None,
        legendwidth=None,
        marker=None,
        meta=None,
        metasrc=None,
        name=None,
        opacity=None,
        selected=None,
        selectedpoints=None,
        showlegend=None,
        showlowerhalf=None,
        showupperhalf=None,
        stream=None,
        text=None,
        textsrc=None,
        uid=None,
        uirevision=None,
        unselected=None,
        visible=None,
        xaxes=None,
        xhoverformat=None,
        yaxes=None,
        yhoverformat=None,
        **kwargs,
    ):
        """
        Construct a new Splom object

        Splom traces generate scatter plot matrix visualizations. Each
        splom `dimensions` items correspond to a generated axis. Values
        for each of those dimensions are set in `dimensions[i].values`.
        Splom traces support all `scattergl` marker style attributes.
        Specify `layout.grid` attributes and/or layout x-axis and
        y-axis attributes for more control over the axis positioning
        and style.

        Parameters
        ----------
        arg
            dict of properties compatible with this constructor or
            an instance of :class:`plotly.graph_objs.Splom`
        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`.
        diagonal
            :class:`plotly.graph_objects.splom.Diagonal` instance
            or dict with compatible properties
        dimensions
            A tuple of
            :class:`plotly.graph_objects.splom.Dimension` instances
            or dicts with compatible properties
        dimensiondefaults
            When used in a template (as
            layout.template.data.splom.dimensiondefaults), sets the
            default property values to use for elements of
            splom.dimensions
        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.splom.Hoverlabel` instance
            or dict with compatible properties
        hovertemplate
            Template string used for rendering the information that
            appear on hover box. Note that this will override
            `hoverinfo`. Variables are inserted using %{variable},
            for example "y: %{y}" as well as %{xother}, {%_xother},
            {%_xother_}, {%xother_}. When showing info for several
            points, "xother" will be added to those with different
            x positions from the first point. An underscore before
            or after "(x|y)other" will add a space on that side,
            only when this field is shown. Numbers are formatted
            using d3-format's syntax %{variable:d3-format}, for
            example "Price: %{y:$.2f}".
            https://github.com/d3/d3-format/tree/v1.4.5#d3-format
            for details on the formatting syntax. Dates are
            formatted using d3-time-format's syntax
            %{variable|d3-time-format}, for example "Day:
            %{2019-01-01|%A}". https://github.com/d3/d3-time-
            format/tree/v2.2.3#locale_format for details on the
            date formatting syntax. Variables that can't be found
            will be replaced with the specifier. For example, a
            template of "data: %{x}, %{y}" will result in a value
            of "data: 1, %{y}" if x is 1 and y is missing.
            Variables with an undefined value will be replaced with
            the fallback value. 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, all attributes that can be
            specified per-point (the ones that are `arrayOk: true`)
            are available.  Anything contained in tag `<extra>` is
            displayed in the secondary box, for example
            `<extra>%{fullData.name}</extra>`. To hide the
            secondary box completely, use an empty tag
            `<extra></extra>`.
        hovertemplatefallback
            Fallback string that's displayed when a variable
            referenced in a template is missing. If the boolean
            value 'false' is passed in, the specifier with the
            missing variable will be displayed.
        hovertemplatesrc
            Sets the source reference on Chart Studio Cloud for
            `hovertemplate`.
        hovertext
            Same as `text`.
        hovertextsrc
            Sets the source reference on Chart Studio Cloud for
            `hovertext`.
        ids
            Assigns id labels to each datum. These ids for object
            constancy of data points during animation. Should be an
            array of strings, not numbers or any other type.
        idssrc
            Sets the source reference on Chart Studio Cloud for
            `ids`.
        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.splom.Legendgrouptitle`
            instance or dict with compatible properties
        legendrank
            Sets the legend rank for this trace. Items and groups
            with smaller ranks are presented on top/left side while
            with "reversed" `legend.traceorder` they are on
            bottom/right side. The default legendrank is 1000, so
            that you can use ranks less than 1000 to place certain
            items before all unranked items, and ranks greater than
            1000 to go after all unranked items. 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.
        marker
            :class:`plotly.graph_objects.splom.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.
        opacity
            Sets the opacity of the trace.
        selected
            :class:`plotly.graph_objects.splom.Selected` instance
            or dict with compatible properties
        selectedpoints
            Array containing integer indices of selected points.
            Has an effect only for traces that support selections.
            Note that an empty array means an empty selection where
            the `unselected` are turned on for all points, whereas,
            any other non-array values means no selection all where
            the `selected` and `unselected` styles have no effect.
        showlegend
            Determines whether or not an item corresponding to this
            trace is shown in the legend.
        showlowerhalf
            Determines whether or not subplots on the lower half
            from the diagonal are displayed.
        showupperhalf
            Determines whether or not subplots on the upper half
            from the diagonal are displayed.
        stream
            :class:`plotly.graph_objects.splom.Stream` instance or
            dict with compatible properties
        text
            Sets text elements associated with each (x,y) pair to
            appear on hover. If a single string, the same string
            appears over all the data points. If an array of
            string, the items are mapped in order to the this
            trace's (x,y) coordinates.
        textsrc
            Sets the source reference on Chart Studio Cloud for
            `text`.
        uid
            Assign an id to this trace, Use this to provide object
            constancy between traces during animations and
            transitions.
        uirevision
            Controls persistence of some user-driven changes to the
            trace: `constraintrange` in `parcoords` traces, as well
            as some `editable: true` modifications such as `name`
            and `colorbar.title`. Defaults to `layout.uirevision`.
            Note that other user-driven trace attribute changes are
            controlled by `layout` attributes: `trace.visible` is
            controlled by `layout.legend.uirevision`,
            `selectedpoints` is controlled by
            `layout.selectionrevision`, and `colorbar.(x|y)`
            (accessible with `config: {editable: true}`) is
            controlled by `layout.editrevision`. Trace changes are
            tracked by `uid`, which only falls back on trace index
            if no `uid` is provided. So if your app can add/remove
            traces before the end of the `data` array, such that
            the same trace has a different index, you can still
            preserve user-driven changes if you give each trace a
            `uid` that stays with it as it moves.
        unselected
            :class:`plotly.graph_objects.splom.Unselected` instance
            or dict with compatible properties
        visible
            Determines whether or not this trace is visible. If
            "legendonly", the trace is not drawn, but can appear as
            a legend item (provided that the legend itself is
            visible).
        xaxes
            Sets the list of x axes corresponding to dimensions of
            this splom trace. By default, a splom will match the
            first N xaxes where N is the number of input
            dimensions. Note that, in case where `diagonal.visible`
            is false and `showupperhalf` or `showlowerhalf` is
            false, this splom trace will generate one less x-axis
            and one less y-axis.
        xhoverformat
            Sets the hover text formatting rulefor `x`  using d3
            formatting mini-languages which are very similar to
            those in Python. For numbers, see:
            https://github.com/d3/d3-format/tree/v1.4.5#d3-format.
            And for dates see: https://github.com/d3/d3-time-
            format/tree/v2.2.3#locale_format. We add two items to
            d3's date formatter: "%h" for half of the year as a
            decimal number as well as "%{n}f" for fractional
            seconds with n digits. For example, *2016-10-13
            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
            display *09~15~23.46*By default the values are
            formatted using `xaxis.hoverformat`.
        yaxes
            Sets the list of y axes corresponding to dimensions of
            this splom trace. By default, a splom will match the
            first N yaxes where N is the number of input
            dimensions. Note that, in case where `diagonal.visible`
            is false and `showupperhalf` or `showlowerhalf` is
            false, this splom trace will generate one less x-axis
            and one less y-axis.
        yhoverformat
            Sets the hover text formatting rulefor `y`  using d3
            formatting mini-languages which are very similar to
            those in Python. For numbers, see:
            https://github.com/d3/d3-format/tree/v1.4.5#d3-format.
            And for dates see: https://github.com/d3/d3-time-
            format/tree/v2.2.3#locale_format. We add two items to
            d3's date formatter: "%h" for half of the year as a
            decimal number as well as "%{n}f" for fractional
            seconds with n digits. For example, *2016-10-13
            09:15:23.456* with tickformat "%H~%M~%S.%2f" would
            display *09~15~23.46*By default the values are
            formatted using `yaxis.hoverformat`.

        Returns
        -------
        Splom
        """
        super().__init__("splom")
        if "_parent" in kwargs:
            self._parent = kwargs["_parent"]
            return

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

        self._skip_invalid = kwargs.pop("skip_invalid", False)
        self._validate = kwargs.pop("_validate", True)

        self._set_property("customdata", arg, customdata)
        self._set_property("customdatasrc", arg, customdatasrc)
        self._set_property("diagonal", arg, diagonal)
        self._set_property("dimensions", arg, dimensions)
        self._set_property("dimensiondefaults", arg, dimensiondefaults)
        self._set_property("hoverinfo", arg, hoverinfo)
        self._set_property("hoverinfosrc", arg, hoverinfosrc)
        self._set_property("hoverlabel", arg, hoverlabel)
        self._set_property("hovertemplate", arg, hovertemplate)
        self._set_property("hovertemplatefallback", arg, hovertemplatefallback)
        self._set_property("hovertemplatesrc", arg, hovertemplatesrc)
        self._set_property("hovertext", arg, hovertext)
        self._set_property("hovertextsrc", arg, hovertextsrc)
        self._set_property("ids", arg, ids)
        self._set_property("idssrc", arg, idssrc)
        self._set_property("legend", arg, legend)
        self._set_property("legendgroup", arg, legendgroup)
        self._set_property("legendgrouptitle", arg, legendgrouptitle)
        self._set_property("legendrank", arg, legendrank)
        self._set_property("legendwidth", arg, legendwidth)
        self._set_property("marker", arg, marker)
        self._set_property("meta", arg, meta)
        self._set_property("metasrc", arg, metasrc)
        self._set_property("name", arg, name)
        self._set_property("opacity", arg, opacity)
        self._set_property("selected", arg, selected)
        self._set_property("selectedpoints", arg, selectedpoints)
        self._set_property("showlegend", arg, showlegend)
        self._set_property("showlowerhalf", arg, showlowerhalf)
        self._set_property("showupperhalf", arg, showupperhalf)
        self._set_property("stream", arg, stream)
        self._set_property("text", arg, text)
        self._set_property("textsrc", arg, textsrc)
        self._set_property("uid", arg, uid)
        self._set_property("uirevision", arg, uirevision)
        self._set_property("unselected", arg, unselected)
        self._set_property("visible", arg, visible)
        self._set_property("xaxes", arg, xaxes)
        self._set_property("xhoverformat", arg, xhoverformat)
        self._set_property("yaxes", arg, yaxes)
        self._set_property("yhoverformat", arg, yhoverformat)

        self._props["type"] = "splom"
        arg.pop("type", None)
        self._process_kwargs(**dict(arg, **kwargs))
        self._skip_invalid = False
