from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType import copy as _copy class Dimension(_BaseTraceHierarchyType): # class properties # -------------------- _parent_path_str = "splom" _path_str = "splom.dimension" _valid_props = { "axis", "label", "name", "templateitemname", "values", "valuessrc", "visible", } # axis # ---- @property def axis(self): """ The 'axis' property is an instance of Axis that may be specified as: - An instance of :class:`plotly.graph_objs.splom.dimension.Axis` - A dict of string/value properties that will be passed to the Axis constructor Supported dict properties: matches Determines whether or not the x & y axes generated by this dimension match. Equivalent to setting the `matches` axis attribute in the layout with the correct axis id. type Sets the axis type for this dimension's generated x and y axes. Note that the axis `type` values set in layout take precedence over this attribute. Returns ------- plotly.graph_objs.splom.dimension.Axis """ return self["axis"] @axis.setter def axis(self, val): self["axis"] = val # label # ----- @property def label(self): """ Sets the label corresponding to this splom dimension. The 'label' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self["label"] @label.setter def label(self, val): self["label"] = val # name # ---- @property def name(self): """ When used in a template, named items are created in the output figure in addition to any items the figure already has in this array. You can modify these items in the output figure by making your own item with `templateitemname` matching this `name` alongside your modifications (including `visible: false` or `enabled: false` to hide it). Has no effect outside of a template. 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 # templateitemname # ---------------- @property def templateitemname(self): """ Used to refer to a named item in this array in the template. Named items from the template will be created even without a matching item in the input figure, but you can modify one by making an item with `templateitemname` matching its `name`, alongside your modifications (including `visible: false` or `enabled: false` to hide it). If there is no template or no matching item, this item will be hidden unless you explicitly show it with `visible: true`. The 'templateitemname' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str """ return self["templateitemname"] @templateitemname.setter def templateitemname(self, val): self["templateitemname"] = val # values # ------ @property def values(self): """ Sets the dimension values to be plotted. The 'values' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray """ return self["values"] @values.setter def values(self, val): self["values"] = val # valuessrc # --------- @property def valuessrc(self): """ Sets the source reference on Chart Studio Cloud for values . The 'valuessrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["valuessrc"] @valuessrc.setter def valuessrc(self, val): self["valuessrc"] = val # visible # ------- @property def visible(self): """ Determines whether or not this dimension is shown on the graph. Note that even visible false dimension contribute to the default grid generate by this splom trace. The 'visible' property must be specified as a bool (either True, or False) Returns ------- bool """ return self["visible"] @visible.setter def visible(self, val): self["visible"] = val # Self properties description # --------------------------- @property def _prop_descriptions(self): return """\ axis :class:`plotly.graph_objects.splom.dimension.Axis` instance or dict with compatible properties label Sets the label corresponding to this splom dimension. name When used in a template, named items are created in the output figure in addition to any items the figure already has in this array. You can modify these items in the output figure by making your own item with `templateitemname` matching this `name` alongside your modifications (including `visible: false` or `enabled: false` to hide it). Has no effect outside of a template. templateitemname Used to refer to a named item in this array in the template. Named items from the template will be created even without a matching item in the input figure, but you can modify one by making an item with `templateitemname` matching its `name`, alongside your modifications (including `visible: false` or `enabled: false` to hide it). If there is no template or no matching item, this item will be hidden unless you explicitly show it with `visible: true`. values Sets the dimension values to be plotted. valuessrc Sets the source reference on Chart Studio Cloud for values . visible Determines whether or not this dimension is shown on the graph. Note that even visible false dimension contribute to the default grid generate by this splom trace. """ def __init__( self, arg=None, axis=None, label=None, name=None, templateitemname=None, values=None, valuessrc=None, visible=None, **kwargs ): """ Construct a new Dimension object Parameters ---------- arg dict of properties compatible with this constructor or an instance of :class:`plotly.graph_objs.splom.Dimension` axis :class:`plotly.graph_objects.splom.dimension.Axis` instance or dict with compatible properties label Sets the label corresponding to this splom dimension. name When used in a template, named items are created in the output figure in addition to any items the figure already has in this array. You can modify these items in the output figure by making your own item with `templateitemname` matching this `name` alongside your modifications (including `visible: false` or `enabled: false` to hide it). Has no effect outside of a template. templateitemname Used to refer to a named item in this array in the template. Named items from the template will be created even without a matching item in the input figure, but you can modify one by making an item with `templateitemname` matching its `name`, alongside your modifications (including `visible: false` or `enabled: false` to hide it). If there is no template or no matching item, this item will be hidden unless you explicitly show it with `visible: true`. values Sets the dimension values to be plotted. valuessrc Sets the source reference on Chart Studio Cloud for values . visible Determines whether or not this dimension is shown on the graph. Note that even visible false dimension contribute to the default grid generate by this splom trace. Returns ------- Dimension """ super(Dimension, self).__init__("dimensions") 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.splom.Dimension constructor must be a dict or an instance of :class:`plotly.graph_objs.splom.Dimension`""" ) # 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("axis", None) _v = axis if axis is not None else _v if _v is not None: self["axis"] = _v _v = arg.pop("label", None) _v = label if label is not None else _v if _v is not None: self["label"] = _v _v = arg.pop("name", None) _v = name if name is not None else _v if _v is not None: self["name"] = _v _v = arg.pop("templateitemname", None) _v = templateitemname if templateitemname is not None else _v if _v is not None: self["templateitemname"] = _v _v = arg.pop("values", None) _v = values if values is not None else _v if _v is not None: self["values"] = _v _v = arg.pop("valuessrc", None) _v = valuessrc if valuessrc is not None else _v if _v is not None: self["valuessrc"] = _v _v = arg.pop("visible", None) _v = visible if visible is not None else _v if _v is not None: self["visible"] = _v # Process unknown kwargs # ---------------------- self._process_kwargs(**dict(arg, **kwargs)) # Reset skip_invalid # ------------------ self._skip_invalid = False