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# --- THIS FILE IS AUTO-GENERATED ---
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# Modifications will be overwitten the next time code generation run.
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from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
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import copy as _copy
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class Starts(_BaseTraceHierarchyType):
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_parent_path_str = "streamtube"
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_path_str = "streamtube.starts"
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_valid_props = {"x", "xsrc", "y", "ysrc", "z", "zsrc"}
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@property
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def x(self):
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"""
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Sets the x components of the starting position of the
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streamtubes
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The 'x' property is an array that may be specified as a tuple,
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list, numpy array, or pandas Series
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Returns
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-------
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numpy.ndarray
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"""
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return self["x"]
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@x.setter
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def x(self, val):
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self["x"] = val
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@property
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def xsrc(self):
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"""
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Sets the source reference on Chart Studio Cloud for `x`.
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The 'xsrc' property must be specified as a string or
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as a plotly.grid_objs.Column object
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Returns
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-------
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str
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"""
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return self["xsrc"]
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@xsrc.setter
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def xsrc(self, val):
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self["xsrc"] = val
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@property
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def y(self):
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"""
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Sets the y components of the starting position of the
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streamtubes
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The 'y' property is an array that may be specified as a tuple,
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list, numpy array, or pandas Series
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Returns
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-------
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numpy.ndarray
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"""
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return self["y"]
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@y.setter
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def y(self, val):
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self["y"] = val
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@property
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def ysrc(self):
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"""
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Sets the source reference on Chart Studio Cloud for `y`.
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The 'ysrc' property must be specified as a string or
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as a plotly.grid_objs.Column object
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Returns
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-------
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str
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"""
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return self["ysrc"]
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@ysrc.setter
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def ysrc(self, val):
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self["ysrc"] = val
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@property
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def z(self):
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"""
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Sets the z components of the starting position of the
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streamtubes
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The 'z' property is an array that may be specified as a tuple,
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list, numpy array, or pandas Series
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Returns
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-------
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numpy.ndarray
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"""
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return self["z"]
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@z.setter
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def z(self, val):
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self["z"] = val
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@property
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def zsrc(self):
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"""
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Sets the source reference on Chart Studio Cloud for `z`.
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The 'zsrc' property must be specified as a string or
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as a plotly.grid_objs.Column object
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Returns
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-------
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str
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"""
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return self["zsrc"]
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@zsrc.setter
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def zsrc(self, val):
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self["zsrc"] = val
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@property
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def _prop_descriptions(self):
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return """\
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x
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Sets the x components of the starting position of the
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streamtubes
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xsrc
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Sets the source reference on Chart Studio Cloud for
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`x`.
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y
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Sets the y components of the starting position of the
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streamtubes
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ysrc
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Sets the source reference on Chart Studio Cloud for
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`y`.
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z
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Sets the z components of the starting position of the
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streamtubes
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zsrc
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Sets the source reference on Chart Studio Cloud for
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`z`.
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"""
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def __init__(
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self,
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arg=None,
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x=None,
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xsrc=None,
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y=None,
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ysrc=None,
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z=None,
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zsrc=None,
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**kwargs,
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):
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"""
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Construct a new Starts 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.streamtube.Starts`
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x
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Sets the x components of the starting position of the
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streamtubes
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xsrc
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Sets the source reference on Chart Studio Cloud for
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`x`.
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y
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Sets the y components of the starting position of the
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streamtubes
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ysrc
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Sets the source reference on Chart Studio Cloud for
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`y`.
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z
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Sets the z components of the starting position of the
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streamtubes
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zsrc
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Sets the source reference on Chart Studio Cloud for
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`z`.
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Returns
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-------
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Starts
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"""
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super().__init__("starts")
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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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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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The first argument to the plotly.graph_objs.streamtube.Starts
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constructor must be a dict or
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an instance of :class:`plotly.graph_objs.streamtube.Starts`""")
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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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self._set_property("x", arg, x)
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self._set_property("xsrc", arg, xsrc)
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self._set_property("y", arg, y)
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self._set_property("ysrc", arg, ysrc)
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self._set_property("z", arg, z)
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self._set_property("zsrc", arg, zsrc)
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self._process_kwargs(**dict(arg, **kwargs))
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self._skip_invalid = False
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