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108 lines
3.0 KiB
Python
108 lines
3.0 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 = "candlestick"
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_path_str = "candlestick.line"
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_valid_props = {"width"}
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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 width (in px) of line bounding the box(es). Note that
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this style setting can also be set per direction via
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`increasing.line.width` and `decreasing.line.width`.
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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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width
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Sets the width (in px) of line bounding the box(es).
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Note that this style setting can also be set per
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direction via `increasing.line.width` and
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`decreasing.line.width`.
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"""
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def __init__(self, arg=None, width=None, **kwargs):
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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.candlestick.Line`
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width
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Sets the width (in px) of line bounding the box(es).
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Note that this style setting can also be set per
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direction via `increasing.line.width` and
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`decreasing.line.width`.
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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.candlestick.Line
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constructor must be a dict or
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an instance of :class:`plotly.graph_objs.candlestick.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("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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