134 lines
4.7 KiB
Python
134 lines
4.7 KiB
Python
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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 BaseLayoutHierarchyType as _BaseLayoutHierarchyType
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import copy as _copy
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import warnings
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class Template(_BaseLayoutHierarchyType):
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_parent_path_str = "layout"
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_path_str = "layout.template"
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_valid_props = {"data", "layout"}
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@property
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def data(self):
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"""
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The 'data' property is an instance of Data
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that may be specified as:
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- An instance of :class:`plotly.graph_objs.layout.template.Data`
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- A dict of string/value properties that will be passed
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to the Data constructor
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Returns
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-------
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plotly.graph_objs.layout.template.Data
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"""
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return self["data"]
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@data.setter
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def data(self, val):
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self["data"] = val
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@property
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def layout(self):
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"""
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The 'layout' property is an instance of Layout
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that may be specified as:
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- An instance of :class:`plotly.graph_objs.Layout`
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- A dict of string/value properties that will be passed
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to the Layout constructor
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Returns
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-------
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plotly.graph_objs.layout.template.Layout
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"""
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return self["layout"]
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@layout.setter
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def layout(self, val):
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self["layout"] = val
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@property
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def _prop_descriptions(self):
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return """\
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data
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:class:`plotly.graph_objects.layout.template.Data`
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instance or dict with compatible properties
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layout
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:class:`plotly.graph_objects.Layout` instance or dict
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with compatible properties
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"""
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def __init__(self, arg=None, data=None, layout=None, **kwargs):
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"""
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Construct a new Template object
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Default attributes to be applied to the plot. This should be a
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dict with format: `{'layout': layoutTemplate, 'data':
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{trace_type: [traceTemplate, ...], ...}}` where
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`layoutTemplate` is a dict matching the structure of
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`figure.layout` and `traceTemplate` is a dict matching the
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structure of the trace with type `trace_type` (e.g. 'scatter').
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Alternatively, this may be specified as an instance of
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plotly.graph_objs.layout.Template. Trace templates are applied
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cyclically to traces of each type. Container arrays (eg
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`annotations`) have special handling: An object ending in
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`defaults` (eg `annotationdefaults`) is applied to each array
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item. But if an item has a `templateitemname` key we look in
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the template array for an item with matching `name` and apply
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that instead. If no matching `name` is found we mark the item
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invisible. Any named template item not referenced is appended
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to the end of the array, so this can be used to add a watermark
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annotation or a logo image, for example. To omit one of these
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items on the plot, make an item with matching
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`templateitemname` and `visible: false`.
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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.layout.Template`
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data
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:class:`plotly.graph_objects.layout.template.Data`
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instance or dict with compatible properties
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layout
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:class:`plotly.graph_objects.Layout` instance or dict
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with compatible properties
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Returns
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-------
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Template
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"""
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super().__init__("template")
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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.layout.Template
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constructor must be a dict or
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an instance of :class:`plotly.graph_objs.layout.Template`""")
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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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# Template.data contains a 'scattermapbox' key, which causes a
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# go.Scattermapbox trace object to be created during validation.
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# In order to prevent false deprecation warnings from surfacing,
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# we suppress deprecation warnings for this line only.
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with warnings.catch_warnings():
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warnings.filterwarnings("ignore", category=DeprecationWarning)
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self._set_property("data", arg, data)
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self._set_property("layout", arg, layout)
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self._process_kwargs(**dict(arg, **kwargs))
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self._skip_invalid = False
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