from plotly.basedatatypes import BaseTraceType
import copy


class Pointcloud(BaseTraceType):

    # customdata
    # ----------
    @property
    def customdata(self):
        """
        Assigns extra data each datum. This may be useful when
        listening to hover, click and selection events. Note that,
        "scatter" traces also appends customdata items in the markers
        DOM elements
    
        The 'customdata' property is an array that may be specified as a tuple,
        list, numpy array, or pandas Series

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

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

    # customdatasrc
    # -------------
    @property
    def customdatasrc(self):
        """
        Sets the source reference on plot.ly for  customdata .
    
        The 'customdatasrc' property must be specified as a string or
        as a plotly.grid_objs.Column object

        Returns
        -------
        str
        """
        return self['customdatasrc']

    @customdatasrc.setter
    def customdatasrc(self, val):
        self['customdatasrc'] = val

    # hoverinfo
    # ---------
    @property
    def hoverinfo(self):
        """
        Determines which trace information appear on hover. If `none`
        or `skip` are set, no information is displayed upon hovering.
        But, if `none` is set, click and hover events are still fired.
    
        The 'hoverinfo' property is a flaglist and may be specified
        as a string containing:
          - Any combination of ['x', 'y', 'z', 'text', 'name'] joined with '+' characters
            (e.g. 'x+y')
            OR exactly one of ['all', 'none', 'skip'] (e.g. 'skip')
          - A list or array of the above

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

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

    # hoverinfosrc
    # ------------
    @property
    def hoverinfosrc(self):
        """
        Sets the source reference on plot.ly for  hoverinfo .
    
        The 'hoverinfosrc' property must be specified as a string or
        as a plotly.grid_objs.Column object

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

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

    # hoverlabel
    # ----------
    @property
    def hoverlabel(self):
        """
        The 'hoverlabel' property is an instance of Hoverlabel
        that may be specified as:
          - An instance of plotly.graph_objs.pointcloud.Hoverlabel
          - A dict of string/value properties that will be passed
            to the Hoverlabel constructor
    
            Supported dict properties:
                
                bgcolor
                    Sets the background color of the hover labels
                    for this trace
                bgcolorsrc
                    Sets the source reference on plot.ly for
                    bgcolor .
                bordercolor
                    Sets the border color of the hover labels for
                    this trace.
                bordercolorsrc
                    Sets the source reference on plot.ly for
                    bordercolor .
                font
                    Sets the font used in hover labels.
                namelength
                    Sets the length (in number of characters) of
                    the trace name in the hover labels for this
                    trace. -1 shows the whole name regardless of
                    length. 0-3 shows the first 0-3 characters, and
                    an integer >3 will show the whole name if it is
                    less than that many characters, but if it is
                    longer, will truncate to `namelength - 3`
                    characters and add an ellipsis.
                namelengthsrc
                    Sets the source reference on plot.ly for
                    namelength .

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

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

    # ids
    # ---
    @property
    def ids(self):
        """
        Assigns id labels to each datum. These ids for object constancy
        of data points during animation. Should be an array of strings,
        not numbers or any other type.
    
        The 'ids' property is an array that may be specified as a tuple,
        list, numpy array, or pandas Series

        Returns
        -------
        numpy.ndarray
        """
        return self['ids']

    @ids.setter
    def ids(self, val):
        self['ids'] = val

    # idssrc
    # ------
    @property
    def idssrc(self):
        """
        Sets the source reference on plot.ly for  ids .
    
        The 'idssrc' property must be specified as a string or
        as a plotly.grid_objs.Column object

        Returns
        -------
        str
        """
        return self['idssrc']

    @idssrc.setter
    def idssrc(self, val):
        self['idssrc'] = val

    # indices
    # -------
    @property
    def indices(self):
        """
        A sequential value, 0..n, supply it to avoid creating this
        array inside plotting. If specified, it must be a typed
        `Int32Array` array. Its length must be equal to or greater than
        the number of points. For the best performance and memory use,
        create one large `indices` typed array that is guaranteed to be
        at least as long as the largest number of points during use,
        and reuse it on each `Plotly.restyle()` call.
    
        The 'indices' property is an array that may be specified as a tuple,
        list, numpy array, or pandas Series

        Returns
        -------
        numpy.ndarray
        """
        return self['indices']

    @indices.setter
    def indices(self, val):
        self['indices'] = val

    # indicessrc
    # ----------
    @property
    def indicessrc(self):
        """
        Sets the source reference on plot.ly for  indices .
    
        The 'indicessrc' property must be specified as a string or
        as a plotly.grid_objs.Column object

        Returns
        -------
        str
        """
        return self['indicessrc']

    @indicessrc.setter
    def indicessrc(self, val):
        self['indicessrc'] = val

    # legendgroup
    # -----------
    @property
    def legendgroup(self):
        """
        Sets the legend group for this trace. Traces part of the same
        legend group hide/show at the same time when toggling legend
        items.
    
        The 'legendgroup' property is a string and must be specified as:
          - A string
          - A number that will be converted to a string

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

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

    # marker
    # ------
    @property
    def marker(self):
        """
        The 'marker' property is an instance of Marker
        that may be specified as:
          - An instance of plotly.graph_objs.pointcloud.Marker
          - A dict of string/value properties that will be passed
            to the Marker constructor
    
            Supported dict properties:
                
                blend
                    Determines if colors are blended together for a
                    translucency effect in case `opacity` is
                    specified as a value less then `1`. Setting
                    `blend` to `true` reduces zoom/pan speed if
                    used with large numbers of points.
                border
                    plotly.graph_objs.pointcloud.marker.Border
                    instance or dict with compatible properties
                color
                    Sets the marker fill color. It accepts a
                    specific color.If the color is not fully opaque
                    and there are hundreds of thousandsof points,
                    it may cause slower zooming and panning.
                opacity
                    Sets the marker opacity. The default value is
                    `1` (fully opaque). If the markers are not
                    fully opaque and there are hundreds of
                    thousands of points, it may cause slower
                    zooming and panning. Opacity fades the color
                    even if `blend` is left on `false` even if
                    there is no translucency effect in that case.
                sizemax
                    Sets the maximum size (in px) of the rendered
                    marker points. Effective when the `pointcloud`
                    shows only few points.
                sizemin
                    Sets the minimum size (in px) of the rendered
                    marker points, effective when the `pointcloud`
                    shows a million or more points.

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

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

    # name
    # ----
    @property
    def name(self):
        """
        Sets the trace name. The trace name appear as the legend item
        and on hover.
    
        The 'name' property is a string and must be specified as:
          - A string
          - A number that will be converted to a string

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

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

    # opacity
    # -------
    @property
    def opacity(self):
        """
        Sets the opacity of the trace.
    
        The 'opacity' property is a number and may be specified as:
          - An int or float in the interval [0, 1]

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

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

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

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

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

    # showlegend
    # ----------
    @property
    def showlegend(self):
        """
        Determines whether or not an item corresponding to this trace
        is shown in the legend.
    
        The 'showlegend' property must be specified as a bool
        (either True, or False)

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

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

    # stream
    # ------
    @property
    def stream(self):
        """
        The 'stream' property is an instance of Stream
        that may be specified as:
          - An instance of plotly.graph_objs.pointcloud.Stream
          - A dict of string/value properties that will be passed
            to the Stream constructor
    
            Supported dict properties:
                
                maxpoints
                    Sets the maximum number of points to keep on
                    the plots from an incoming stream. If
                    `maxpoints` is set to 50, only the newest 50
                    points will be displayed on the plot.
                token
                    The stream id number links a data trace on a
                    plot with a stream. See
                    https://plot.ly/settings for more details.

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

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

    # text
    # ----
    @property
    def text(self):
        """
        Sets text elements associated with each (x,y) pair. 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. If trace `hoverinfo` contains a
        "text" flag and "hovertext" is not set, these elements will be
        seen in the hover labels.
    
        The 'text' property is a string and must be specified as:
          - A string
          - A number that will be converted to a string
          - A tuple, list, or one-dimensional numpy array of the above

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

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

    # textsrc
    # -------
    @property
    def textsrc(self):
        """
        Sets the source reference on plot.ly for  text .
    
        The 'textsrc' property must be specified as a string or
        as a plotly.grid_objs.Column object

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

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

    # uid
    # ---
    @property
    def uid(self):
        """
        The 'uid' property is a string and must be specified as:
          - A string
          - A number that will be converted to a string

        Returns
        -------
        str
        """
        return self['uid']

    @uid.setter
    def uid(self, val):
        self['uid'] = val

    # uirevision
    # ----------
    @property
    def uirevision(self):
        """
        Controls persistence of some user-driven changes to the trace:
        `constraintrange` in `parcoords` traces, as well as some
        `editable: true` modifications such as `name` and
        `colorbar.title`. Defaults to `layout.uirevision`. Note that
        other user-driven trace attribute changes are controlled by
        `layout` attributes: `trace.visible` is controlled by
        `layout.legend.uirevision`, `selectedpoints` is controlled by
        `layout.selectionrevision`, and `colorbar.(x|y)` (accessible
        with `config: {editable: true}`) is controlled by
        `layout.editrevision`. Trace changes are tracked by `uid`,
        which only falls back on trace index if no `uid` is provided.
        So if your app can add/remove traces before the end of the
        `data` array, such that the same trace has a different index,
        you can still preserve user-driven changes if you give each
        trace a `uid` that stays with it as it moves.
    
        The 'uirevision' property accepts values of any type

        Returns
        -------
        Any
        """
        return self['uirevision']

    @uirevision.setter
    def uirevision(self, val):
        self['uirevision'] = val

    # visible
    # -------
    @property
    def visible(self):
        """
        Determines whether or not this trace is visible. If
        "legendonly", the trace is not drawn, but can appear as a
        legend item (provided that the legend itself is visible).
    
        The 'visible' property is an enumeration that may be specified as:
          - One of the following enumeration values:
                [True, False, 'legendonly']

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

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

    # x
    # -
    @property
    def x(self):
        """
        Sets the x coordinates.
    
        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

    # xbounds
    # -------
    @property
    def xbounds(self):
        """
        Specify `xbounds` in the shape of `[xMin, xMax] to avoid
        looping through the `xy` typed array. Use it in conjunction
        with `xy` and `ybounds` for the performance benefits.
    
        The 'xbounds' property is an array that may be specified as a tuple,
        list, numpy array, or pandas Series

        Returns
        -------
        numpy.ndarray
        """
        return self['xbounds']

    @xbounds.setter
    def xbounds(self, val):
        self['xbounds'] = val

    # xboundssrc
    # ----------
    @property
    def xboundssrc(self):
        """
        Sets the source reference on plot.ly for  xbounds .
    
        The 'xboundssrc' property must be specified as a string or
        as a plotly.grid_objs.Column object

        Returns
        -------
        str
        """
        return self['xboundssrc']

    @xboundssrc.setter
    def xboundssrc(self, val):
        self['xboundssrc'] = val

    # xsrc
    # ----
    @property
    def xsrc(self):
        """
        Sets the source reference on plot.ly 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

    # xy
    # --
    @property
    def xy(self):
        """
        Faster alternative to specifying `x` and `y` separately. If
        supplied, it must be a typed `Float32Array` array that
        represents points such that `xy[i * 2] = x[i]` and `xy[i * 2 +
        1] = y[i]`
    
        The 'xy' property is an array that may be specified as a tuple,
        list, numpy array, or pandas Series

        Returns
        -------
        numpy.ndarray
        """
        return self['xy']

    @xy.setter
    def xy(self, val):
        self['xy'] = val

    # xysrc
    # -----
    @property
    def xysrc(self):
        """
        Sets the source reference on plot.ly for  xy .
    
        The 'xysrc' property must be specified as a string or
        as a plotly.grid_objs.Column object

        Returns
        -------
        str
        """
        return self['xysrc']

    @xysrc.setter
    def xysrc(self, val):
        self['xysrc'] = val

    # y
    # -
    @property
    def y(self):
        """
        Sets the y coordinates.
    
        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

    # ybounds
    # -------
    @property
    def ybounds(self):
        """
        Specify `ybounds` in the shape of `[yMin, yMax] to avoid
        looping through the `xy` typed array. Use it in conjunction
        with `xy` and `xbounds` for the performance benefits.
    
        The 'ybounds' property is an array that may be specified as a tuple,
        list, numpy array, or pandas Series

        Returns
        -------
        numpy.ndarray
        """
        return self['ybounds']

    @ybounds.setter
    def ybounds(self, val):
        self['ybounds'] = val

    # yboundssrc
    # ----------
    @property
    def yboundssrc(self):
        """
        Sets the source reference on plot.ly for  ybounds .
    
        The 'yboundssrc' property must be specified as a string or
        as a plotly.grid_objs.Column object

        Returns
        -------
        str
        """
        return self['yboundssrc']

    @yboundssrc.setter
    def yboundssrc(self, val):
        self['yboundssrc'] = val

    # ysrc
    # ----
    @property
    def ysrc(self):
        """
        Sets the source reference on plot.ly 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

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

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

    # Self properties description
    # ---------------------------
    @property
    def _prop_descriptions(self):
        return """\
        customdata
            Assigns extra data each datum. This may be useful when
            listening to hover, click and selection events. Note
            that, "scatter" traces also appends customdata items in
            the markers DOM elements
        customdatasrc
            Sets the source reference on plot.ly for  customdata .
        hoverinfo
            Determines which trace information appear on hover. If
            `none` or `skip` are set, no information is displayed
            upon hovering. But, if `none` is set, click and hover
            events are still fired.
        hoverinfosrc
            Sets the source reference on plot.ly for  hoverinfo .
        hoverlabel
            plotly.graph_objs.pointcloud.Hoverlabel instance or
            dict with compatible properties
        ids
            Assigns id labels to each datum. These ids for object
            constancy of data points during animation. Should be an
            array of strings, not numbers or any other type.
        idssrc
            Sets the source reference on plot.ly for  ids .
        indices
            A sequential value, 0..n, supply it to avoid creating
            this array inside plotting. If specified, it must be a
            typed `Int32Array` array. Its length must be equal to
            or greater than the number of points. For the best
            performance and memory use, create one large `indices`
            typed array that is guaranteed to be at least as long
            as the largest number of points during use, and reuse
            it on each `Plotly.restyle()` call.
        indicessrc
            Sets the source reference on plot.ly for  indices .
        legendgroup
            Sets the legend group for this trace. Traces part of
            the same legend group hide/show at the same time when
            toggling legend items.
        marker
            plotly.graph_objs.pointcloud.Marker instance or dict
            with compatible properties
        name
            Sets the trace name. The trace name appear as the
            legend item and on hover.
        opacity
            Sets the opacity of the trace.
        selectedpoints
            Array containing integer indices of selected points.
            Has an effect only for traces that support selections.
            Note that an empty array means an empty selection where
            the `unselected` are turned on for all points, whereas,
            any other non-array values means no selection all where
            the `selected` and `unselected` styles have no effect.
        showlegend
            Determines whether or not an item corresponding to this
            trace is shown in the legend.
        stream
            plotly.graph_objs.pointcloud.Stream instance or dict
            with compatible properties
        text
            Sets text elements associated with each (x,y) pair. 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.
            If trace `hoverinfo` contains a "text" flag and
            "hovertext" is not set, these elements will be seen in
            the hover labels.
        textsrc
            Sets the source reference on plot.ly for  text .
        uid

        uirevision
            Controls persistence of some user-driven changes to the
            trace: `constraintrange` in `parcoords` traces, as well
            as some `editable: true` modifications such as `name`
            and `colorbar.title`. Defaults to `layout.uirevision`.
            Note that other user-driven trace attribute changes are
            controlled by `layout` attributes: `trace.visible` is
            controlled by `layout.legend.uirevision`,
            `selectedpoints` is controlled by
            `layout.selectionrevision`, and `colorbar.(x|y)`
            (accessible with `config: {editable: true}`) is
            controlled by `layout.editrevision`. Trace changes are
            tracked by `uid`, which only falls back on trace index
            if no `uid` is provided. So if your app can add/remove
            traces before the end of the `data` array, such that
            the same trace has a different index, you can still
            preserve user-driven changes if you give each trace a
            `uid` that stays with it as it moves.
        visible
            Determines whether or not this trace is visible. If
            "legendonly", the trace is not drawn, but can appear as
            a legend item (provided that the legend itself is
            visible).
        x
            Sets the x coordinates.
        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.
        xbounds
            Specify `xbounds` in the shape of `[xMin, xMax] to
            avoid looping through the `xy` typed array. Use it in
            conjunction with `xy` and `ybounds` for the performance
            benefits.
        xboundssrc
            Sets the source reference on plot.ly for  xbounds .
        xsrc
            Sets the source reference on plot.ly for  x .
        xy
            Faster alternative to specifying `x` and `y`
            separately. If supplied, it must be a typed
            `Float32Array` array that represents points such that
            `xy[i * 2] = x[i]` and `xy[i * 2 + 1] = y[i]`
        xysrc
            Sets the source reference on plot.ly for  xy .
        y
            Sets the y coordinates.
        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.
        ybounds
            Specify `ybounds` in the shape of `[yMin, yMax] to
            avoid looping through the `xy` typed array. Use it in
            conjunction with `xy` and `xbounds` for the performance
            benefits.
        yboundssrc
            Sets the source reference on plot.ly for  ybounds .
        ysrc
            Sets the source reference on plot.ly for  y .
        """

    def __init__(
        self,
        arg=None,
        customdata=None,
        customdatasrc=None,
        hoverinfo=None,
        hoverinfosrc=None,
        hoverlabel=None,
        ids=None,
        idssrc=None,
        indices=None,
        indicessrc=None,
        legendgroup=None,
        marker=None,
        name=None,
        opacity=None,
        selectedpoints=None,
        showlegend=None,
        stream=None,
        text=None,
        textsrc=None,
        uid=None,
        uirevision=None,
        visible=None,
        x=None,
        xaxis=None,
        xbounds=None,
        xboundssrc=None,
        xsrc=None,
        xy=None,
        xysrc=None,
        y=None,
        yaxis=None,
        ybounds=None,
        yboundssrc=None,
        ysrc=None,
        **kwargs
    ):
        """
        Construct a new Pointcloud object
        
        The data visualized as a point cloud set in `x` and `y` using
        the WebGl plotting engine.

        Parameters
        ----------
        arg
            dict of properties compatible with this constructor or
            an instance of plotly.graph_objs.Pointcloud
        customdata
            Assigns extra data each datum. This may be useful when
            listening to hover, click and selection events. Note
            that, "scatter" traces also appends customdata items in
            the markers DOM elements
        customdatasrc
            Sets the source reference on plot.ly for  customdata .
        hoverinfo
            Determines which trace information appear on hover. If
            `none` or `skip` are set, no information is displayed
            upon hovering. But, if `none` is set, click and hover
            events are still fired.
        hoverinfosrc
            Sets the source reference on plot.ly for  hoverinfo .
        hoverlabel
            plotly.graph_objs.pointcloud.Hoverlabel instance or
            dict with compatible properties
        ids
            Assigns id labels to each datum. These ids for object
            constancy of data points during animation. Should be an
            array of strings, not numbers or any other type.
        idssrc
            Sets the source reference on plot.ly for  ids .
        indices
            A sequential value, 0..n, supply it to avoid creating
            this array inside plotting. If specified, it must be a
            typed `Int32Array` array. Its length must be equal to
            or greater than the number of points. For the best
            performance and memory use, create one large `indices`
            typed array that is guaranteed to be at least as long
            as the largest number of points during use, and reuse
            it on each `Plotly.restyle()` call.
        indicessrc
            Sets the source reference on plot.ly for  indices .
        legendgroup
            Sets the legend group for this trace. Traces part of
            the same legend group hide/show at the same time when
            toggling legend items.
        marker
            plotly.graph_objs.pointcloud.Marker instance or dict
            with compatible properties
        name
            Sets the trace name. The trace name appear as the
            legend item and on hover.
        opacity
            Sets the opacity of the trace.
        selectedpoints
            Array containing integer indices of selected points.
            Has an effect only for traces that support selections.
            Note that an empty array means an empty selection where
            the `unselected` are turned on for all points, whereas,
            any other non-array values means no selection all where
            the `selected` and `unselected` styles have no effect.
        showlegend
            Determines whether or not an item corresponding to this
            trace is shown in the legend.
        stream
            plotly.graph_objs.pointcloud.Stream instance or dict
            with compatible properties
        text
            Sets text elements associated with each (x,y) pair. 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.
            If trace `hoverinfo` contains a "text" flag and
            "hovertext" is not set, these elements will be seen in
            the hover labels.
        textsrc
            Sets the source reference on plot.ly for  text .
        uid

        uirevision
            Controls persistence of some user-driven changes to the
            trace: `constraintrange` in `parcoords` traces, as well
            as some `editable: true` modifications such as `name`
            and `colorbar.title`. Defaults to `layout.uirevision`.
            Note that other user-driven trace attribute changes are
            controlled by `layout` attributes: `trace.visible` is
            controlled by `layout.legend.uirevision`,
            `selectedpoints` is controlled by
            `layout.selectionrevision`, and `colorbar.(x|y)`
            (accessible with `config: {editable: true}`) is
            controlled by `layout.editrevision`. Trace changes are
            tracked by `uid`, which only falls back on trace index
            if no `uid` is provided. So if your app can add/remove
            traces before the end of the `data` array, such that
            the same trace has a different index, you can still
            preserve user-driven changes if you give each trace a
            `uid` that stays with it as it moves.
        visible
            Determines whether or not this trace is visible. If
            "legendonly", the trace is not drawn, but can appear as
            a legend item (provided that the legend itself is
            visible).
        x
            Sets the x coordinates.
        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.
        xbounds
            Specify `xbounds` in the shape of `[xMin, xMax] to
            avoid looping through the `xy` typed array. Use it in
            conjunction with `xy` and `ybounds` for the performance
            benefits.
        xboundssrc
            Sets the source reference on plot.ly for  xbounds .
        xsrc
            Sets the source reference on plot.ly for  x .
        xy
            Faster alternative to specifying `x` and `y`
            separately. If supplied, it must be a typed
            `Float32Array` array that represents points such that
            `xy[i * 2] = x[i]` and `xy[i * 2 + 1] = y[i]`
        xysrc
            Sets the source reference on plot.ly for  xy .
        y
            Sets the y coordinates.
        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.
        ybounds
            Specify `ybounds` in the shape of `[yMin, yMax] to
            avoid looping through the `xy` typed array. Use it in
            conjunction with `xy` and `xbounds` for the performance
            benefits.
        yboundssrc
            Sets the source reference on plot.ly for  ybounds .
        ysrc
            Sets the source reference on plot.ly for  y .

        Returns
        -------
        Pointcloud
        """
        super(Pointcloud, self).__init__('pointcloud')

        # 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.Pointcloud 
constructor must be a dict or 
an instance of plotly.graph_objs.Pointcloud"""
            )

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

        # Import validators
        # -----------------
        from plotly.validators import (pointcloud as v_pointcloud)

        # Initialize validators
        # ---------------------
        self._validators['customdata'] = v_pointcloud.CustomdataValidator()
        self._validators['customdatasrc'
                        ] = v_pointcloud.CustomdatasrcValidator()
        self._validators['hoverinfo'] = v_pointcloud.HoverinfoValidator()
        self._validators['hoverinfosrc'] = v_pointcloud.HoverinfosrcValidator()
        self._validators['hoverlabel'] = v_pointcloud.HoverlabelValidator()
        self._validators['ids'] = v_pointcloud.IdsValidator()
        self._validators['idssrc'] = v_pointcloud.IdssrcValidator()
        self._validators['indices'] = v_pointcloud.IndicesValidator()
        self._validators['indicessrc'] = v_pointcloud.IndicessrcValidator()
        self._validators['legendgroup'] = v_pointcloud.LegendgroupValidator()
        self._validators['marker'] = v_pointcloud.MarkerValidator()
        self._validators['name'] = v_pointcloud.NameValidator()
        self._validators['opacity'] = v_pointcloud.OpacityValidator()
        self._validators['selectedpoints'
                        ] = v_pointcloud.SelectedpointsValidator()
        self._validators['showlegend'] = v_pointcloud.ShowlegendValidator()
        self._validators['stream'] = v_pointcloud.StreamValidator()
        self._validators['text'] = v_pointcloud.TextValidator()
        self._validators['textsrc'] = v_pointcloud.TextsrcValidator()
        self._validators['uid'] = v_pointcloud.UidValidator()
        self._validators['uirevision'] = v_pointcloud.UirevisionValidator()
        self._validators['visible'] = v_pointcloud.VisibleValidator()
        self._validators['x'] = v_pointcloud.XValidator()
        self._validators['xaxis'] = v_pointcloud.XAxisValidator()
        self._validators['xbounds'] = v_pointcloud.XboundsValidator()
        self._validators['xboundssrc'] = v_pointcloud.XboundssrcValidator()
        self._validators['xsrc'] = v_pointcloud.XsrcValidator()
        self._validators['xy'] = v_pointcloud.XyValidator()
        self._validators['xysrc'] = v_pointcloud.XysrcValidator()
        self._validators['y'] = v_pointcloud.YValidator()
        self._validators['yaxis'] = v_pointcloud.YAxisValidator()
        self._validators['ybounds'] = v_pointcloud.YboundsValidator()
        self._validators['yboundssrc'] = v_pointcloud.YboundssrcValidator()
        self._validators['ysrc'] = v_pointcloud.YsrcValidator()

        # Populate data dict with properties
        # ----------------------------------
        _v = arg.pop('customdata', None)
        self['customdata'] = customdata if customdata is not None else _v
        _v = arg.pop('customdatasrc', None)
        self['customdatasrc'
            ] = customdatasrc if customdatasrc is not None else _v
        _v = arg.pop('hoverinfo', None)
        self['hoverinfo'] = hoverinfo if hoverinfo is not None else _v
        _v = arg.pop('hoverinfosrc', None)
        self['hoverinfosrc'] = hoverinfosrc if hoverinfosrc is not None else _v
        _v = arg.pop('hoverlabel', None)
        self['hoverlabel'] = hoverlabel if hoverlabel is not None else _v
        _v = arg.pop('ids', None)
        self['ids'] = ids if ids is not None else _v
        _v = arg.pop('idssrc', None)
        self['idssrc'] = idssrc if idssrc is not None else _v
        _v = arg.pop('indices', None)
        self['indices'] = indices if indices is not None else _v
        _v = arg.pop('indicessrc', None)
        self['indicessrc'] = indicessrc if indicessrc is not None else _v
        _v = arg.pop('legendgroup', None)
        self['legendgroup'] = legendgroup if legendgroup is not None else _v
        _v = arg.pop('marker', None)
        self['marker'] = marker if marker is not None else _v
        _v = arg.pop('name', None)
        self['name'] = name if name is not None else _v
        _v = arg.pop('opacity', None)
        self['opacity'] = opacity if opacity is not None else _v
        _v = arg.pop('selectedpoints', None)
        self['selectedpoints'
            ] = selectedpoints if selectedpoints is not None else _v
        _v = arg.pop('showlegend', None)
        self['showlegend'] = showlegend if showlegend is not None else _v
        _v = arg.pop('stream', None)
        self['stream'] = stream if stream is not None else _v
        _v = arg.pop('text', None)
        self['text'] = text if text is not None else _v
        _v = arg.pop('textsrc', None)
        self['textsrc'] = textsrc if textsrc is not None else _v
        _v = arg.pop('uid', None)
        self['uid'] = uid if uid is not None else _v
        _v = arg.pop('uirevision', None)
        self['uirevision'] = uirevision if uirevision is not None else _v
        _v = arg.pop('visible', None)
        self['visible'] = visible if visible is not None else _v
        _v = arg.pop('x', None)
        self['x'] = x if x is not None else _v
        _v = arg.pop('xaxis', None)
        self['xaxis'] = xaxis if xaxis is not None else _v
        _v = arg.pop('xbounds', None)
        self['xbounds'] = xbounds if xbounds is not None else _v
        _v = arg.pop('xboundssrc', None)
        self['xboundssrc'] = xboundssrc if xboundssrc is not None else _v
        _v = arg.pop('xsrc', None)
        self['xsrc'] = xsrc if xsrc is not None else _v
        _v = arg.pop('xy', None)
        self['xy'] = xy if xy is not None else _v
        _v = arg.pop('xysrc', None)
        self['xysrc'] = xysrc if xysrc is not None else _v
        _v = arg.pop('y', None)
        self['y'] = y if y is not None else _v
        _v = arg.pop('yaxis', None)
        self['yaxis'] = yaxis if yaxis is not None else _v
        _v = arg.pop('ybounds', None)
        self['ybounds'] = ybounds if ybounds is not None else _v
        _v = arg.pop('yboundssrc', None)
        self['yboundssrc'] = yboundssrc if yboundssrc is not None else _v
        _v = arg.pop('ysrc', None)
        self['ysrc'] = ysrc if ysrc is not None else _v

        # Read-only literals
        # ------------------
        from _plotly_utils.basevalidators import LiteralValidator
        self._props['type'] = 'pointcloud'
        self._validators['type'] = LiteralValidator(
            plotly_name='type', parent_name='pointcloud', val='pointcloud'
        )
        arg.pop('type', None)

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

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