from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType import copy as _copy class Stream(_BaseTraceHierarchyType): # maxpoints # --------- @property def maxpoints(self): """ Sets the maximum number of points to keep on the plots from an incoming stream. If `maxpoints` is set to 50, only the newest 50 points will be displayed on the plot. The 'maxpoints' property is a number and may be specified as: - An int or float in the interval [0, 10000] Returns ------- int|float """ return self["maxpoints"] @maxpoints.setter def maxpoints(self, val): self["maxpoints"] = val # token # ----- @property def token(self): """ The stream id number links a data trace on a plot with a stream. See https://plot.ly/settings for more details. The 'token' property is a string and must be specified as: - A non-empty string Returns ------- str """ return self["token"] @token.setter def token(self, val): self["token"] = val # property parent name # -------------------- @property def _parent_path_str(self): return "pointcloud" # Self properties description # --------------------------- @property def _prop_descriptions(self): return """\ maxpoints Sets the maximum number of points to keep on the plots from an incoming stream. If `maxpoints` is set to 50, only the newest 50 points will be displayed on the plot. token The stream id number links a data trace on a plot with a stream. See https://plot.ly/settings for more details. """ def __init__(self, arg=None, maxpoints=None, token=None, **kwargs): """ Construct a new Stream object Parameters ---------- arg dict of properties compatible with this constructor or an instance of :class:`plotly.graph_objs.pointcloud.Stream` maxpoints Sets the maximum number of points to keep on the plots from an incoming stream. If `maxpoints` is set to 50, only the newest 50 points will be displayed on the plot. token The stream id number links a data trace on a plot with a stream. See https://plot.ly/settings for more details. Returns ------- Stream """ super(Stream, self).__init__("stream") # Validate arg # ------------ if arg is None: arg = {} elif isinstance(arg, self.__class__): arg = arg.to_plotly_json() elif isinstance(arg, dict): arg = _copy.copy(arg) else: raise ValueError( """\ The first argument to the plotly.graph_objs.pointcloud.Stream constructor must be a dict or an instance of :class:`plotly.graph_objs.pointcloud.Stream`""" ) # Handle skip_invalid # ------------------- self._skip_invalid = kwargs.pop("skip_invalid", False) # Import validators # ----------------- from plotly.validators.pointcloud import stream as v_stream # Initialize validators # --------------------- self._validators["maxpoints"] = v_stream.MaxpointsValidator() self._validators["token"] = v_stream.TokenValidator() # Populate data dict with properties # ---------------------------------- _v = arg.pop("maxpoints", None) self["maxpoints"] = maxpoints if maxpoints is not None else _v _v = arg.pop("token", None) self["token"] = token if token is not None else _v # Process unknown kwargs # ---------------------- self._process_kwargs(**dict(arg, **kwargs)) # Reset skip_invalid # ------------------ self._skip_invalid = False from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType import copy as _copy class Marker(_BaseTraceHierarchyType): # blend # ----- @property def blend(self): """ 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. The 'blend' property must be specified as a bool (either True, or False) Returns ------- bool """ return self["blend"] @blend.setter def blend(self, val): self["blend"] = val # border # ------ @property def border(self): """ The 'border' property is an instance of Border that may be specified as: - An instance of :class:`plotly.graph_objs.pointcloud.marker.Border` - A dict of string/value properties that will be passed to the Border constructor Supported dict properties: arearatio Specifies what fraction of the marker area is covered with the border. color Sets the stroke color. It accepts a specific color. If the color is not fully opaque and there are hundreds of thousands of points, it may cause slower zooming and panning. Returns ------- plotly.graph_objs.pointcloud.marker.Border """ return self["border"] @border.setter def border(self, val): self["border"] = val # color # ----- @property def color(self): """ 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. The 'color' property is a color and may be specified as: - A hex string (e.g. '#ff0000') - An rgb/rgba string (e.g. 'rgb(255,0,0)') - An hsl/hsla string (e.g. 'hsl(0,100%,50%)') - An hsv/hsva string (e.g. 'hsv(0,100%,100%)') - A named CSS color: aliceblue, antiquewhite, aqua, aquamarine, azure, beige, bisque, black, blanchedalmond, blue, blueviolet, brown, burlywood, cadetblue, chartreuse, chocolate, coral, cornflowerblue, cornsilk, crimson, cyan, darkblue, darkcyan, darkgoldenrod, darkgray, darkgrey, darkgreen, darkkhaki, darkmagenta, darkolivegreen, darkorange, darkorchid, darkred, darksalmon, darkseagreen, darkslateblue, darkslategray, darkslategrey, darkturquoise, darkviolet, deeppink, deepskyblue, dimgray, dimgrey, dodgerblue, firebrick, floralwhite, forestgreen, fuchsia, gainsboro, ghostwhite, gold, goldenrod, gray, grey, green, greenyellow, honeydew, hotpink, indianred, indigo, ivory, khaki, lavender, lavenderblush, lawngreen, lemonchiffon, lightblue, lightcoral, lightcyan, lightgoldenrodyellow, lightgray, lightgrey, lightgreen, lightpink, lightsalmon, lightseagreen, lightskyblue, lightslategray, lightslategrey, lightsteelblue, lightyellow, lime, limegreen, linen, magenta, maroon, mediumaquamarine, mediumblue, mediumorchid, mediumpurple, mediumseagreen, mediumslateblue, mediumspringgreen, mediumturquoise, mediumvioletred, midnightblue, mintcream, mistyrose, moccasin, navajowhite, navy, oldlace, olive, olivedrab, orange, orangered, orchid, palegoldenrod, palegreen, paleturquoise, palevioletred, papayawhip, peachpuff, peru, pink, plum, powderblue, purple, red, rosybrown, royalblue, rebeccapurple, saddlebrown, salmon, sandybrown, seagreen, seashell, sienna, silver, skyblue, slateblue, slategray, slategrey, snow, springgreen, steelblue, tan, teal, thistle, tomato, turquoise, violet, wheat, white, whitesmoke, yellow, yellowgreen Returns ------- str """ return self["color"] @color.setter def color(self, val): self["color"] = val # opacity # ------- @property def opacity(self): """ 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. 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 # sizemax # ------- @property def sizemax(self): """ Sets the maximum size (in px) of the rendered marker points. Effective when the `pointcloud` shows only few points. The 'sizemax' property is a number and may be specified as: - An int or float in the interval [0.1, inf] Returns ------- int|float """ return self["sizemax"] @sizemax.setter def sizemax(self, val): self["sizemax"] = val # sizemin # ------- @property def sizemin(self): """ Sets the minimum size (in px) of the rendered marker points, effective when the `pointcloud` shows a million or more points. The 'sizemin' property is a number and may be specified as: - An int or float in the interval [0.1, 2] Returns ------- int|float """ return self["sizemin"] @sizemin.setter def sizemin(self, val): self["sizemin"] = val # property parent name # -------------------- @property def _parent_path_str(self): return "pointcloud" # Self properties description # --------------------------- @property def _prop_descriptions(self): return """\ 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 :class:`plotly.graph_objects.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. """ def __init__( self, arg=None, blend=None, border=None, color=None, opacity=None, sizemax=None, sizemin=None, **kwargs ): """ Construct a new Marker object Parameters ---------- arg dict of properties compatible with this constructor or an instance of :class:`plotly.graph_objs.pointcloud.Marker` 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 :class:`plotly.graph_objects.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 ------- Marker """ super(Marker, self).__init__("marker") # 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.Marker constructor must be a dict or an instance of :class:`plotly.graph_objs.pointcloud.Marker`""" ) # Handle skip_invalid # ------------------- self._skip_invalid = kwargs.pop("skip_invalid", False) # Import validators # ----------------- from plotly.validators.pointcloud import marker as v_marker # Initialize validators # --------------------- self._validators["blend"] = v_marker.BlendValidator() self._validators["border"] = v_marker.BorderValidator() self._validators["color"] = v_marker.ColorValidator() self._validators["opacity"] = v_marker.OpacityValidator() self._validators["sizemax"] = v_marker.SizemaxValidator() self._validators["sizemin"] = v_marker.SizeminValidator() # Populate data dict with properties # ---------------------------------- _v = arg.pop("blend", None) self["blend"] = blend if blend is not None else _v _v = arg.pop("border", None) self["border"] = border if border is not None else _v _v = arg.pop("color", None) self["color"] = color if color is not None else _v _v = arg.pop("opacity", None) self["opacity"] = opacity if opacity is not None else _v _v = arg.pop("sizemax", None) self["sizemax"] = sizemax if sizemax is not None else _v _v = arg.pop("sizemin", None) self["sizemin"] = sizemin if sizemin is not None else _v # Process unknown kwargs # ---------------------- self._process_kwargs(**dict(arg, **kwargs)) # Reset skip_invalid # ------------------ self._skip_invalid = False from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType import copy as _copy class Hoverlabel(_BaseTraceHierarchyType): # align # ----- @property def align(self): """ Sets the horizontal alignment of the text content within hover label box. Has an effect only if the hover label text spans more two or more lines The 'align' property is an enumeration that may be specified as: - One of the following enumeration values: ['left', 'right', 'auto'] - A tuple, list, or one-dimensional numpy array of the above Returns ------- Any|numpy.ndarray """ return self["align"] @align.setter def align(self, val): self["align"] = val # alignsrc # -------- @property def alignsrc(self): """ Sets the source reference on plot.ly for align . The 'alignsrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["alignsrc"] @alignsrc.setter def alignsrc(self, val): self["alignsrc"] = val # bgcolor # ------- @property def bgcolor(self): """ Sets the background color of the hover labels for this trace The 'bgcolor' property is a color and may be specified as: - A hex string (e.g. '#ff0000') - An rgb/rgba string (e.g. 'rgb(255,0,0)') - An hsl/hsla string (e.g. 'hsl(0,100%,50%)') - An hsv/hsva string (e.g. 'hsv(0,100%,100%)') - A named CSS color: aliceblue, antiquewhite, aqua, aquamarine, azure, beige, bisque, black, blanchedalmond, blue, blueviolet, brown, burlywood, cadetblue, chartreuse, chocolate, coral, cornflowerblue, cornsilk, crimson, cyan, darkblue, darkcyan, darkgoldenrod, darkgray, darkgrey, darkgreen, darkkhaki, darkmagenta, darkolivegreen, darkorange, darkorchid, darkred, darksalmon, darkseagreen, darkslateblue, darkslategray, darkslategrey, darkturquoise, darkviolet, deeppink, deepskyblue, dimgray, dimgrey, dodgerblue, firebrick, floralwhite, forestgreen, fuchsia, gainsboro, ghostwhite, gold, goldenrod, gray, grey, green, greenyellow, honeydew, hotpink, indianred, indigo, ivory, khaki, lavender, lavenderblush, lawngreen, lemonchiffon, lightblue, lightcoral, lightcyan, lightgoldenrodyellow, lightgray, lightgrey, lightgreen, lightpink, lightsalmon, lightseagreen, lightskyblue, lightslategray, lightslategrey, lightsteelblue, lightyellow, lime, limegreen, linen, magenta, maroon, mediumaquamarine, mediumblue, mediumorchid, mediumpurple, mediumseagreen, mediumslateblue, mediumspringgreen, mediumturquoise, mediumvioletred, midnightblue, mintcream, mistyrose, moccasin, navajowhite, navy, oldlace, olive, olivedrab, orange, orangered, orchid, palegoldenrod, palegreen, paleturquoise, palevioletred, papayawhip, peachpuff, peru, pink, plum, powderblue, purple, red, rosybrown, royalblue, rebeccapurple, saddlebrown, salmon, sandybrown, seagreen, seashell, sienna, silver, skyblue, slateblue, slategray, slategrey, snow, springgreen, steelblue, tan, teal, thistle, tomato, turquoise, violet, wheat, white, whitesmoke, yellow, yellowgreen - A list or array of any of the above Returns ------- str|numpy.ndarray """ return self["bgcolor"] @bgcolor.setter def bgcolor(self, val): self["bgcolor"] = val # bgcolorsrc # ---------- @property def bgcolorsrc(self): """ Sets the source reference on plot.ly for bgcolor . The 'bgcolorsrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["bgcolorsrc"] @bgcolorsrc.setter def bgcolorsrc(self, val): self["bgcolorsrc"] = val # bordercolor # ----------- @property def bordercolor(self): """ Sets the border color of the hover labels for this trace. The 'bordercolor' property is a color and may be specified as: - A hex string (e.g. '#ff0000') - An rgb/rgba string (e.g. 'rgb(255,0,0)') - An hsl/hsla string (e.g. 'hsl(0,100%,50%)') - An hsv/hsva string (e.g. 'hsv(0,100%,100%)') - A named CSS color: aliceblue, antiquewhite, aqua, aquamarine, azure, beige, bisque, black, blanchedalmond, blue, blueviolet, brown, burlywood, cadetblue, chartreuse, chocolate, coral, cornflowerblue, cornsilk, crimson, cyan, darkblue, darkcyan, darkgoldenrod, darkgray, darkgrey, darkgreen, darkkhaki, darkmagenta, darkolivegreen, darkorange, darkorchid, darkred, darksalmon, darkseagreen, darkslateblue, darkslategray, darkslategrey, darkturquoise, darkviolet, deeppink, deepskyblue, dimgray, dimgrey, dodgerblue, firebrick, floralwhite, forestgreen, fuchsia, gainsboro, ghostwhite, gold, goldenrod, gray, grey, green, greenyellow, honeydew, hotpink, indianred, indigo, ivory, khaki, lavender, lavenderblush, lawngreen, lemonchiffon, lightblue, lightcoral, lightcyan, lightgoldenrodyellow, lightgray, lightgrey, lightgreen, lightpink, lightsalmon, lightseagreen, lightskyblue, lightslategray, lightslategrey, lightsteelblue, lightyellow, lime, limegreen, linen, magenta, maroon, mediumaquamarine, mediumblue, mediumorchid, mediumpurple, mediumseagreen, mediumslateblue, mediumspringgreen, mediumturquoise, mediumvioletred, midnightblue, mintcream, mistyrose, moccasin, navajowhite, navy, oldlace, olive, olivedrab, orange, orangered, orchid, palegoldenrod, palegreen, paleturquoise, palevioletred, papayawhip, peachpuff, peru, pink, plum, powderblue, purple, red, rosybrown, royalblue, rebeccapurple, saddlebrown, salmon, sandybrown, seagreen, seashell, sienna, silver, skyblue, slateblue, slategray, slategrey, snow, springgreen, steelblue, tan, teal, thistle, tomato, turquoise, violet, wheat, white, whitesmoke, yellow, yellowgreen - A list or array of any of the above Returns ------- str|numpy.ndarray """ return self["bordercolor"] @bordercolor.setter def bordercolor(self, val): self["bordercolor"] = val # bordercolorsrc # -------------- @property def bordercolorsrc(self): """ Sets the source reference on plot.ly for bordercolor . The 'bordercolorsrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["bordercolorsrc"] @bordercolorsrc.setter def bordercolorsrc(self, val): self["bordercolorsrc"] = val # font # ---- @property def font(self): """ Sets the font used in hover labels. The 'font' property is an instance of Font that may be specified as: - An instance of :class:`plotly.graph_objs.pointcloud.hoverlabel.Font` - A dict of string/value properties that will be passed to the Font constructor Supported dict properties: color colorsrc Sets the source reference on plot.ly for color . family HTML font family - the typeface that will be applied by the web browser. The web browser will only be able to apply a font if it is available on the system which it operates. Provide multiple font families, separated by commas, to indicate the preference in which to apply fonts if they aren't available on the system. The plotly service (at https://plot.ly or on-premise) generates images on a server, where only a select number of fonts are installed and supported. These include "Arial", "Balto", "Courier New", "Droid Sans",, "Droid Serif", "Droid Sans Mono", "Gravitas One", "Old Standard TT", "Open Sans", "Overpass", "PT Sans Narrow", "Raleway", "Times New Roman". familysrc Sets the source reference on plot.ly for family . size sizesrc Sets the source reference on plot.ly for size . Returns ------- plotly.graph_objs.pointcloud.hoverlabel.Font """ return self["font"] @font.setter def font(self, val): self["font"] = val # namelength # ---------- @property def namelength(self): """ Sets the default length (in number of characters) of the trace name in the hover labels for all traces. -1 shows the whole name regardless of length. 0-3 shows the first 0-3 characters, and an integer >3 will show the whole name if it is less than that many characters, but if it is longer, will truncate to `namelength - 3` characters and add an ellipsis. The 'namelength' property is a integer and may be specified as: - An int (or float that will be cast to an int) in the interval [-1, 9223372036854775807] - A tuple, list, or one-dimensional numpy array of the above Returns ------- int|numpy.ndarray """ return self["namelength"] @namelength.setter def namelength(self, val): self["namelength"] = val # namelengthsrc # ------------- @property def namelengthsrc(self): """ Sets the source reference on plot.ly for namelength . The 'namelengthsrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["namelengthsrc"] @namelengthsrc.setter def namelengthsrc(self, val): self["namelengthsrc"] = val # property parent name # -------------------- @property def _parent_path_str(self): return "pointcloud" # Self properties description # --------------------------- @property def _prop_descriptions(self): return """\ align Sets the horizontal alignment of the text content within hover label box. Has an effect only if the hover label text spans more two or more lines alignsrc Sets the source reference on plot.ly for align . 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 default length (in number of characters) of the trace name in the hover labels for all traces. -1 shows the whole name regardless of length. 0-3 shows the first 0-3 characters, and an integer >3 will show the whole name if it is less than that many characters, but if it is longer, will truncate to `namelength - 3` characters and add an ellipsis. namelengthsrc Sets the source reference on plot.ly for namelength . """ def __init__( self, arg=None, align=None, alignsrc=None, bgcolor=None, bgcolorsrc=None, bordercolor=None, bordercolorsrc=None, font=None, namelength=None, namelengthsrc=None, **kwargs ): """ Construct a new Hoverlabel object Parameters ---------- arg dict of properties compatible with this constructor or an instance of :class:`plotly.graph_objs.pointcloud.Hoverlabel` align Sets the horizontal alignment of the text content within hover label box. Has an effect only if the hover label text spans more two or more lines alignsrc Sets the source reference on plot.ly for align . 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 default length (in number of characters) of the trace name in the hover labels for all traces. -1 shows the whole name regardless of length. 0-3 shows the first 0-3 characters, and an integer >3 will show the whole name if it is less than that many characters, but if it is longer, will truncate to `namelength - 3` characters and add an ellipsis. namelengthsrc Sets the source reference on plot.ly for namelength . Returns ------- Hoverlabel """ super(Hoverlabel, self).__init__("hoverlabel") # 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.Hoverlabel constructor must be a dict or an instance of :class:`plotly.graph_objs.pointcloud.Hoverlabel`""" ) # Handle skip_invalid # ------------------- self._skip_invalid = kwargs.pop("skip_invalid", False) # Import validators # ----------------- from plotly.validators.pointcloud import hoverlabel as v_hoverlabel # Initialize validators # --------------------- self._validators["align"] = v_hoverlabel.AlignValidator() self._validators["alignsrc"] = v_hoverlabel.AlignsrcValidator() self._validators["bgcolor"] = v_hoverlabel.BgcolorValidator() self._validators["bgcolorsrc"] = v_hoverlabel.BgcolorsrcValidator() self._validators["bordercolor"] = v_hoverlabel.BordercolorValidator() self._validators["bordercolorsrc"] = v_hoverlabel.BordercolorsrcValidator() self._validators["font"] = v_hoverlabel.FontValidator() self._validators["namelength"] = v_hoverlabel.NamelengthValidator() self._validators["namelengthsrc"] = v_hoverlabel.NamelengthsrcValidator() # Populate data dict with properties # ---------------------------------- _v = arg.pop("align", None) self["align"] = align if align is not None else _v _v = arg.pop("alignsrc", None) self["alignsrc"] = alignsrc if alignsrc is not None else _v _v = arg.pop("bgcolor", None) self["bgcolor"] = bgcolor if bgcolor is not None else _v _v = arg.pop("bgcolorsrc", None) self["bgcolorsrc"] = bgcolorsrc if bgcolorsrc is not None else _v _v = arg.pop("bordercolor", None) self["bordercolor"] = bordercolor if bordercolor is not None else _v _v = arg.pop("bordercolorsrc", None) self["bordercolorsrc"] = bordercolorsrc if bordercolorsrc is not None else _v _v = arg.pop("font", None) self["font"] = font if font is not None else _v _v = arg.pop("namelength", None) self["namelength"] = namelength if namelength is not None else _v _v = arg.pop("namelengthsrc", None) self["namelengthsrc"] = namelengthsrc if namelengthsrc is not None else _v # Process unknown kwargs # ---------------------- self._process_kwargs(**dict(arg, **kwargs)) # Reset skip_invalid # ------------------ self._skip_invalid = False __all__ = ["Hoverlabel", "Marker", "Stream", "hoverlabel", "marker"] from plotly.graph_objs.pointcloud import marker from plotly.graph_objs.pointcloud import hoverlabel