from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType import copy as _copy class Marker(_BaseTraceHierarchyType): # class properties # -------------------- _parent_path_str = "histogram2dcontour" _path_str = "histogram2dcontour.marker" _valid_props = {"color", "colorsrc"} # color # ----- @property def color(self): """ Sets the aggregation data. The 'color' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray """ return self["color"] @color.setter def color(self, val): self["color"] = val # colorsrc # -------- @property def colorsrc(self): """ Sets the source reference on Chart Studio Cloud for `color`. The 'colorsrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["colorsrc"] @colorsrc.setter def colorsrc(self, val): self["colorsrc"] = val # Self properties description # --------------------------- @property def _prop_descriptions(self): return """\ color Sets the aggregation data. colorsrc Sets the source reference on Chart Studio Cloud for `color`. """ def __init__(self, arg=None, color=None, colorsrc=None, **kwargs): """ Construct a new Marker object Parameters ---------- arg dict of properties compatible with this constructor or an instance of :class:`plotly.graph_objs.histogram2dcontour.Marker` color Sets the aggregation data. colorsrc Sets the source reference on Chart Studio Cloud for `color`. Returns ------- Marker """ super(Marker, self).__init__("marker") if "_parent" in kwargs: self._parent = kwargs["_parent"] return # Validate arg # ------------ if arg is None: arg = {} elif isinstance(arg, self.__class__): arg = arg.to_plotly_json() elif isinstance(arg, dict): arg = _copy.copy(arg) else: raise ValueError( """\ The first argument to the plotly.graph_objs.histogram2dcontour.Marker constructor must be a dict or an instance of :class:`plotly.graph_objs.histogram2dcontour.Marker`""" ) # Handle skip_invalid # ------------------- self._skip_invalid = kwargs.pop("skip_invalid", False) self._validate = kwargs.pop("_validate", True) # Populate data dict with properties # ---------------------------------- _v = arg.pop("color", None) _v = color if color is not None else _v if _v is not None: self["color"] = _v _v = arg.pop("colorsrc", None) _v = colorsrc if colorsrc is not None else _v if _v is not None: self["colorsrc"] = _v # Process unknown kwargs # ---------------------- self._process_kwargs(**dict(arg, **kwargs)) # Reset skip_invalid # ------------------ self._skip_invalid = False