from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType import copy as _copy class ErrorX(_BaseTraceHierarchyType): # class properties # -------------------- _parent_path_str = "scattergl" _path_str = "scattergl.error_x" _valid_props = { "array", "arrayminus", "arrayminussrc", "arraysrc", "color", "copy_ystyle", "symmetric", "thickness", "traceref", "tracerefminus", "type", "value", "valueminus", "visible", "width", } # array # ----- @property def array(self): """ Sets the data corresponding the length of each error bar. Values are plotted relative to the underlying data. The 'array' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray """ return self["array"] @array.setter def array(self, val): self["array"] = val # arrayminus # ---------- @property def arrayminus(self): """ Sets the data corresponding the length of each error bar in the bottom (left) direction for vertical (horizontal) bars Values are plotted relative to the underlying data. The 'arrayminus' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray """ return self["arrayminus"] @arrayminus.setter def arrayminus(self, val): self["arrayminus"] = val # arrayminussrc # ------------- @property def arrayminussrc(self): """ Sets the source reference on Chart Studio Cloud for `arrayminus`. The 'arrayminussrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["arrayminussrc"] @arrayminussrc.setter def arrayminussrc(self, val): self["arrayminussrc"] = val # arraysrc # -------- @property def arraysrc(self): """ Sets the source reference on Chart Studio Cloud for `array`. The 'arraysrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str """ return self["arraysrc"] @arraysrc.setter def arraysrc(self, val): self["arraysrc"] = val # color # ----- @property def color(self): """ Sets the stoke color of the error bars. 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 # copy_ystyle # ----------- @property def copy_ystyle(self): """ The 'copy_ystyle' property must be specified as a bool (either True, or False) Returns ------- bool """ return self["copy_ystyle"] @copy_ystyle.setter def copy_ystyle(self, val): self["copy_ystyle"] = val # symmetric # --------- @property def symmetric(self): """ Determines whether or not the error bars have the same length in both direction (top/bottom for vertical bars, left/right for horizontal bars. The 'symmetric' property must be specified as a bool (either True, or False) Returns ------- bool """ return self["symmetric"] @symmetric.setter def symmetric(self, val): self["symmetric"] = val # thickness # --------- @property def thickness(self): """ Sets the thickness (in px) of the error bars. The 'thickness' property is a number and may be specified as: - An int or float in the interval [0, inf] Returns ------- int|float """ return self["thickness"] @thickness.setter def thickness(self, val): self["thickness"] = val # traceref # -------- @property def traceref(self): """ The 'traceref' property is a integer and may be specified as: - An int (or float that will be cast to an int) in the interval [0, 9223372036854775807] Returns ------- int """ return self["traceref"] @traceref.setter def traceref(self, val): self["traceref"] = val # tracerefminus # ------------- @property def tracerefminus(self): """ The 'tracerefminus' property is a integer and may be specified as: - An int (or float that will be cast to an int) in the interval [0, 9223372036854775807] Returns ------- int """ return self["tracerefminus"] @tracerefminus.setter def tracerefminus(self, val): self["tracerefminus"] = val # type # ---- @property def type(self): """ Determines the rule used to generate the error bars. If *constant`, the bar lengths are of a constant value. Set this constant in `value`. If "percent", the bar lengths correspond to a percentage of underlying data. Set this percentage in `value`. If "sqrt", the bar lengths correspond to the square of the underlying data. If "data", the bar lengths are set with data set `array`. The 'type' property is an enumeration that may be specified as: - One of the following enumeration values: ['percent', 'constant', 'sqrt', 'data'] Returns ------- Any """ return self["type"] @type.setter def type(self, val): self["type"] = val # value # ----- @property def value(self): """ Sets the value of either the percentage (if `type` is set to "percent") or the constant (if `type` is set to "constant") corresponding to the lengths of the error bars. The 'value' property is a number and may be specified as: - An int or float in the interval [0, inf] Returns ------- int|float """ return self["value"] @value.setter def value(self, val): self["value"] = val # valueminus # ---------- @property def valueminus(self): """ Sets the value of either the percentage (if `type` is set to "percent") or the constant (if `type` is set to "constant") corresponding to the lengths of the error bars in the bottom (left) direction for vertical (horizontal) bars The 'valueminus' property is a number and may be specified as: - An int or float in the interval [0, inf] Returns ------- int|float """ return self["valueminus"] @valueminus.setter def valueminus(self, val): self["valueminus"] = val # visible # ------- @property def visible(self): """ Determines whether or not this set of error bars is visible. 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 # width # ----- @property def width(self): """ Sets the width (in px) of the cross-bar at both ends of the error bars. The 'width' property is a number and may be specified as: - An int or float in the interval [0, inf] Returns ------- int|float """ return self["width"] @width.setter def width(self, val): self["width"] = val # Self properties description # --------------------------- @property def _prop_descriptions(self): return """\ array Sets the data corresponding the length of each error bar. Values are plotted relative to the underlying data. arrayminus Sets the data corresponding the length of each error bar in the bottom (left) direction for vertical (horizontal) bars Values are plotted relative to the underlying data. arrayminussrc Sets the source reference on Chart Studio Cloud for `arrayminus`. arraysrc Sets the source reference on Chart Studio Cloud for `array`. color Sets the stoke color of the error bars. copy_ystyle symmetric Determines whether or not the error bars have the same length in both direction (top/bottom for vertical bars, left/right for horizontal bars. thickness Sets the thickness (in px) of the error bars. traceref tracerefminus type Determines the rule used to generate the error bars. If *constant`, the bar lengths are of a constant value. Set this constant in `value`. If "percent", the bar lengths correspond to a percentage of underlying data. Set this percentage in `value`. If "sqrt", the bar lengths correspond to the square of the underlying data. If "data", the bar lengths are set with data set `array`. value Sets the value of either the percentage (if `type` is set to "percent") or the constant (if `type` is set to "constant") corresponding to the lengths of the error bars. valueminus Sets the value of either the percentage (if `type` is set to "percent") or the constant (if `type` is set to "constant") corresponding to the lengths of the error bars in the bottom (left) direction for vertical (horizontal) bars visible Determines whether or not this set of error bars is visible. width Sets the width (in px) of the cross-bar at both ends of the error bars. """ def __init__( self, arg=None, array=None, arrayminus=None, arrayminussrc=None, arraysrc=None, color=None, copy_ystyle=None, symmetric=None, thickness=None, traceref=None, tracerefminus=None, type=None, value=None, valueminus=None, visible=None, width=None, **kwargs ): """ Construct a new ErrorX object Parameters ---------- arg dict of properties compatible with this constructor or an instance of :class:`plotly.graph_objs.scattergl.ErrorX` array Sets the data corresponding the length of each error bar. Values are plotted relative to the underlying data. arrayminus Sets the data corresponding the length of each error bar in the bottom (left) direction for vertical (horizontal) bars Values are plotted relative to the underlying data. arrayminussrc Sets the source reference on Chart Studio Cloud for `arrayminus`. arraysrc Sets the source reference on Chart Studio Cloud for `array`. color Sets the stoke color of the error bars. copy_ystyle symmetric Determines whether or not the error bars have the same length in both direction (top/bottom for vertical bars, left/right for horizontal bars. thickness Sets the thickness (in px) of the error bars. traceref tracerefminus type Determines the rule used to generate the error bars. If *constant`, the bar lengths are of a constant value. Set this constant in `value`. If "percent", the bar lengths correspond to a percentage of underlying data. Set this percentage in `value`. If "sqrt", the bar lengths correspond to the square of the underlying data. If "data", the bar lengths are set with data set `array`. value Sets the value of either the percentage (if `type` is set to "percent") or the constant (if `type` is set to "constant") corresponding to the lengths of the error bars. valueminus Sets the value of either the percentage (if `type` is set to "percent") or the constant (if `type` is set to "constant") corresponding to the lengths of the error bars in the bottom (left) direction for vertical (horizontal) bars visible Determines whether or not this set of error bars is visible. width Sets the width (in px) of the cross-bar at both ends of the error bars. Returns ------- ErrorX """ super(ErrorX, self).__init__("error_x") 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.scattergl.ErrorX constructor must be a dict or an instance of :class:`plotly.graph_objs.scattergl.ErrorX`""" ) # 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("array", None) _v = array if array is not None else _v if _v is not None: self["array"] = _v _v = arg.pop("arrayminus", None) _v = arrayminus if arrayminus is not None else _v if _v is not None: self["arrayminus"] = _v _v = arg.pop("arrayminussrc", None) _v = arrayminussrc if arrayminussrc is not None else _v if _v is not None: self["arrayminussrc"] = _v _v = arg.pop("arraysrc", None) _v = arraysrc if arraysrc is not None else _v if _v is not None: self["arraysrc"] = _v _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("copy_ystyle", None) _v = copy_ystyle if copy_ystyle is not None else _v if _v is not None: self["copy_ystyle"] = _v _v = arg.pop("symmetric", None) _v = symmetric if symmetric is not None else _v if _v is not None: self["symmetric"] = _v _v = arg.pop("thickness", None) _v = thickness if thickness is not None else _v if _v is not None: self["thickness"] = _v _v = arg.pop("traceref", None) _v = traceref if traceref is not None else _v if _v is not None: self["traceref"] = _v _v = arg.pop("tracerefminus", None) _v = tracerefminus if tracerefminus is not None else _v if _v is not None: self["tracerefminus"] = _v _v = arg.pop("type", None) _v = type if type is not None else _v if _v is not None: self["type"] = _v _v = arg.pop("value", None) _v = value if value is not None else _v if _v is not None: self["value"] = _v _v = arg.pop("valueminus", None) _v = valueminus if valueminus is not None else _v if _v is not None: self["valueminus"] = _v _v = arg.pop("visible", None) _v = visible if visible is not None else _v if _v is not None: self["visible"] = _v _v = arg.pop("width", None) _v = width if width is not None else _v if _v is not None: self["width"] = _v # Process unknown kwargs # ---------------------- self._process_kwargs(**dict(arg, **kwargs)) # Reset skip_invalid # ------------------ self._skip_invalid = False