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243 lines
8.0 KiB
Python
243 lines
8.0 KiB
Python
from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
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import copy as _copy
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class Line(_BaseTraceHierarchyType):
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# class properties
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# --------------------
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_parent_path_str = "histogram2dcontour"
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_path_str = "histogram2dcontour.line"
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_valid_props = {"color", "dash", "smoothing", "width"}
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# color
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# -----
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@property
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def color(self):
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"""
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Sets the color of the contour level. Has no effect if
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`contours.coloring` is set to "lines".
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The 'color' property is a color and may be specified as:
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- A hex string (e.g. '#ff0000')
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- An rgb/rgba string (e.g. 'rgb(255,0,0)')
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- An hsl/hsla string (e.g. 'hsl(0,100%,50%)')
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- An hsv/hsva string (e.g. 'hsv(0,100%,100%)')
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- A named CSS color:
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aliceblue, antiquewhite, aqua, aquamarine, azure,
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beige, bisque, black, blanchedalmond, blue,
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blueviolet, brown, burlywood, cadetblue,
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chartreuse, chocolate, coral, cornflowerblue,
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cornsilk, crimson, cyan, darkblue, darkcyan,
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darkgoldenrod, darkgray, darkgrey, darkgreen,
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darkkhaki, darkmagenta, darkolivegreen, darkorange,
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darkorchid, darkred, darksalmon, darkseagreen,
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darkslateblue, darkslategray, darkslategrey,
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darkturquoise, darkviolet, deeppink, deepskyblue,
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dimgray, dimgrey, dodgerblue, firebrick,
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floralwhite, forestgreen, fuchsia, gainsboro,
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ghostwhite, gold, goldenrod, gray, grey, green,
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greenyellow, honeydew, hotpink, indianred, indigo,
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ivory, khaki, lavender, lavenderblush, lawngreen,
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lemonchiffon, lightblue, lightcoral, lightcyan,
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lightgoldenrodyellow, lightgray, lightgrey,
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lightgreen, lightpink, lightsalmon, lightseagreen,
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lightskyblue, lightslategray, lightslategrey,
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lightsteelblue, lightyellow, lime, limegreen,
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linen, magenta, maroon, mediumaquamarine,
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mediumblue, mediumorchid, mediumpurple,
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mediumseagreen, mediumslateblue, mediumspringgreen,
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mediumturquoise, mediumvioletred, midnightblue,
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mintcream, mistyrose, moccasin, navajowhite, navy,
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oldlace, olive, olivedrab, orange, orangered,
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orchid, palegoldenrod, palegreen, paleturquoise,
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palevioletred, papayawhip, peachpuff, peru, pink,
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plum, powderblue, purple, red, rosybrown,
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royalblue, rebeccapurple, saddlebrown, salmon,
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sandybrown, seagreen, seashell, sienna, silver,
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skyblue, slateblue, slategray, slategrey, snow,
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springgreen, steelblue, tan, teal, thistle, tomato,
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turquoise, violet, wheat, white, whitesmoke,
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yellow, yellowgreen
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Returns
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-------
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str
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"""
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return self["color"]
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@color.setter
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def color(self, val):
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self["color"] = val
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# dash
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# ----
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@property
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def dash(self):
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"""
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Sets the dash style of lines. Set to a dash type string
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("solid", "dot", "dash", "longdash", "dashdot", or
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"longdashdot") or a dash length list in px (eg
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"5px,10px,2px,2px").
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The 'dash' property is an enumeration that may be specified as:
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- One of the following dash styles:
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['solid', 'dot', 'dash', 'longdash', 'dashdot', 'longdashdot']
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- A string containing a dash length list in pixels or percentages
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(e.g. '5px 10px 2px 2px', '5, 10, 2, 2', '10% 20% 40%', etc.)
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Returns
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-------
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str
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"""
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return self["dash"]
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@dash.setter
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def dash(self, val):
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self["dash"] = val
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# smoothing
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# ---------
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@property
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def smoothing(self):
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"""
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Sets the amount of smoothing for the contour lines, where 0
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corresponds to no smoothing.
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The 'smoothing' property is a number and may be specified as:
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- An int or float in the interval [0, 1.3]
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Returns
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-------
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int|float
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"""
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return self["smoothing"]
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@smoothing.setter
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def smoothing(self, val):
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self["smoothing"] = val
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# width
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# -----
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@property
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def width(self):
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"""
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Sets the contour line width in (in px)
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The 'width' property is a number and may be specified as:
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- An int or float in the interval [0, inf]
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Returns
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-------
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int|float
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"""
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return self["width"]
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@width.setter
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def width(self, val):
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self["width"] = val
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# Self properties description
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# ---------------------------
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@property
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def _prop_descriptions(self):
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return """\
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color
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Sets the color of the contour level. Has no effect if
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`contours.coloring` is set to "lines".
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dash
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Sets the dash style of lines. Set to a dash type string
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("solid", "dot", "dash", "longdash", "dashdot", or
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"longdashdot") or a dash length list in px (eg
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"5px,10px,2px,2px").
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smoothing
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Sets the amount of smoothing for the contour lines,
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where 0 corresponds to no smoothing.
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width
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Sets the contour line width in (in px)
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"""
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def __init__(
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self, arg=None, color=None, dash=None, smoothing=None, width=None, **kwargs
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):
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"""
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Construct a new Line object
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Parameters
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----------
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arg
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dict of properties compatible with this constructor or
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an instance of
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:class:`plotly.graph_objs.histogram2dcontour.Line`
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color
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Sets the color of the contour level. Has no effect if
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`contours.coloring` is set to "lines".
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dash
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Sets the dash style of lines. Set to a dash type string
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("solid", "dot", "dash", "longdash", "dashdot", or
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"longdashdot") or a dash length list in px (eg
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"5px,10px,2px,2px").
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smoothing
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Sets the amount of smoothing for the contour lines,
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where 0 corresponds to no smoothing.
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width
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Sets the contour line width in (in px)
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Returns
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-------
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Line
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"""
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super(Line, self).__init__("line")
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if "_parent" in kwargs:
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self._parent = kwargs["_parent"]
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return
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# Validate arg
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# ------------
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if arg is None:
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arg = {}
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elif isinstance(arg, self.__class__):
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arg = arg.to_plotly_json()
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elif isinstance(arg, dict):
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arg = _copy.copy(arg)
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else:
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raise ValueError(
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"""\
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The first argument to the plotly.graph_objs.histogram2dcontour.Line
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constructor must be a dict or
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an instance of :class:`plotly.graph_objs.histogram2dcontour.Line`"""
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)
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# Handle skip_invalid
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# -------------------
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self._skip_invalid = kwargs.pop("skip_invalid", False)
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self._validate = kwargs.pop("_validate", True)
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# Populate data dict with properties
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# ----------------------------------
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_v = arg.pop("color", None)
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_v = color if color is not None else _v
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if _v is not None:
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self["color"] = _v
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_v = arg.pop("dash", None)
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_v = dash if dash is not None else _v
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if _v is not None:
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self["dash"] = _v
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_v = arg.pop("smoothing", None)
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_v = smoothing if smoothing is not None else _v
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if _v is not None:
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self["smoothing"] = _v
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_v = arg.pop("width", None)
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_v = width if width is not None else _v
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if _v is not None:
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self["width"] = _v
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# Process unknown kwargs
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# ----------------------
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self._process_kwargs(**dict(arg, **kwargs))
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# Reset skip_invalid
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# ------------------
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self._skip_invalid = False
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