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 # 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 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, 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 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['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('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