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359 lines
11 KiB
Python
359 lines
11 KiB
Python
from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
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import copy as _copy
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class Dimension(_BaseTraceHierarchyType):
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# class properties
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# --------------------
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_parent_path_str = "splom"
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_path_str = "splom.dimension"
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_valid_props = {
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"axis",
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"label",
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"name",
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"templateitemname",
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"values",
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"valuessrc",
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"visible",
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}
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# axis
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# ----
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@property
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def axis(self):
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"""
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The 'axis' property is an instance of Axis
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that may be specified as:
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- An instance of :class:`plotly.graph_objs.splom.dimension.Axis`
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- A dict of string/value properties that will be passed
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to the Axis constructor
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Supported dict properties:
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matches
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Determines whether or not the x & y axes
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generated by this dimension match. Equivalent
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to setting the `matches` axis attribute in the
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layout with the correct axis id.
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type
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Sets the axis type for this dimension's
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generated x and y axes. Note that the axis
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`type` values set in layout take precedence
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over this attribute.
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Returns
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-------
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plotly.graph_objs.splom.dimension.Axis
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"""
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return self["axis"]
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@axis.setter
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def axis(self, val):
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self["axis"] = val
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# label
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# -----
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@property
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def label(self):
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"""
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Sets the label corresponding to this splom dimension.
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The 'label' property is a string and must be specified as:
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- A string
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- A number that will be converted to a string
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Returns
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-------
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str
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"""
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return self["label"]
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@label.setter
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def label(self, val):
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self["label"] = val
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# name
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# ----
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@property
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def name(self):
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"""
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When used in a template, named items are created in the output
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figure in addition to any items the figure already has in this
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array. You can modify these items in the output figure by
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making your own item with `templateitemname` matching this
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`name` alongside your modifications (including `visible: false`
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or `enabled: false` to hide it). Has no effect outside of a
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template.
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The 'name' property is a string and must be specified as:
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- A string
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- A number that will be converted to a string
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Returns
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-------
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str
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"""
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return self["name"]
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@name.setter
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def name(self, val):
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self["name"] = val
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# templateitemname
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# ----------------
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@property
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def templateitemname(self):
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"""
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Used to refer to a named item in this array in the template.
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Named items from the template will be created even without a
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matching item in the input figure, but you can modify one by
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making an item with `templateitemname` matching its `name`,
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alongside your modifications (including `visible: false` or
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`enabled: false` to hide it). If there is no template or no
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matching item, this item will be hidden unless you explicitly
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show it with `visible: true`.
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The 'templateitemname' property is a string and must be specified as:
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- A string
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- A number that will be converted to a string
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Returns
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-------
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str
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"""
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return self["templateitemname"]
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@templateitemname.setter
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def templateitemname(self, val):
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self["templateitemname"] = val
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# values
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# ------
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@property
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def values(self):
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"""
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Sets the dimension values to be plotted.
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The 'values' 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["values"]
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@values.setter
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def values(self, val):
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self["values"] = val
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# valuessrc
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# ---------
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@property
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def valuessrc(self):
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"""
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Sets the source reference on Chart Studio Cloud for `values`.
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The 'valuessrc' 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["valuessrc"]
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@valuessrc.setter
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def valuessrc(self, val):
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self["valuessrc"] = val
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# visible
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# -------
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@property
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def visible(self):
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"""
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Determines whether or not this dimension is shown on the graph.
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Note that even visible false dimension contribute to the
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default grid generate by this splom trace.
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The 'visible' property must be specified as a bool
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(either True, or False)
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Returns
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-------
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bool
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"""
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return self["visible"]
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@visible.setter
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def visible(self, val):
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self["visible"] = 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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axis
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:class:`plotly.graph_objects.splom.dimension.Axis`
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instance or dict with compatible properties
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label
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Sets the label corresponding to this splom dimension.
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name
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When used in a template, named items are created in the
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output figure in addition to any items the figure
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already has in this array. You can modify these items
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in the output figure by making your own item with
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`templateitemname` matching this `name` alongside your
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modifications (including `visible: false` or `enabled:
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false` to hide it). Has no effect outside of a
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template.
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templateitemname
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Used to refer to a named item in this array in the
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template. Named items from the template will be created
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even without a matching item in the input figure, but
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you can modify one by making an item with
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`templateitemname` matching its `name`, alongside your
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modifications (including `visible: false` or `enabled:
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false` to hide it). If there is no template or no
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matching item, this item will be hidden unless you
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explicitly show it with `visible: true`.
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values
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Sets the dimension values to be plotted.
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valuessrc
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Sets the source reference on Chart Studio Cloud for
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`values`.
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visible
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Determines whether or not this dimension is shown on
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the graph. Note that even visible false dimension
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contribute to the default grid generate by this splom
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trace.
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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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axis=None,
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label=None,
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name=None,
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templateitemname=None,
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values=None,
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valuessrc=None,
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visible=None,
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**kwargs,
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):
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"""
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Construct a new Dimension 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.splom.Dimension`
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axis
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:class:`plotly.graph_objects.splom.dimension.Axis`
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instance or dict with compatible properties
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label
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Sets the label corresponding to this splom dimension.
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name
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When used in a template, named items are created in the
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output figure in addition to any items the figure
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already has in this array. You can modify these items
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in the output figure by making your own item with
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`templateitemname` matching this `name` alongside your
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modifications (including `visible: false` or `enabled:
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false` to hide it). Has no effect outside of a
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template.
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templateitemname
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Used to refer to a named item in this array in the
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template. Named items from the template will be created
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even without a matching item in the input figure, but
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you can modify one by making an item with
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`templateitemname` matching its `name`, alongside your
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modifications (including `visible: false` or `enabled:
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false` to hide it). If there is no template or no
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matching item, this item will be hidden unless you
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explicitly show it with `visible: true`.
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values
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Sets the dimension values to be plotted.
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valuessrc
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Sets the source reference on Chart Studio Cloud for
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`values`.
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visible
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Determines whether or not this dimension is shown on
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the graph. Note that even visible false dimension
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contribute to the default grid generate by this splom
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trace.
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Returns
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-------
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Dimension
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"""
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super(Dimension, self).__init__("dimensions")
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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.splom.Dimension
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constructor must be a dict or
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an instance of :class:`plotly.graph_objs.splom.Dimension`"""
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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("axis", None)
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_v = axis if axis is not None else _v
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if _v is not None:
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self["axis"] = _v
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_v = arg.pop("label", None)
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_v = label if label is not None else _v
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if _v is not None:
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self["label"] = _v
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_v = arg.pop("name", None)
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_v = name if name is not None else _v
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if _v is not None:
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self["name"] = _v
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_v = arg.pop("templateitemname", None)
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_v = templateitemname if templateitemname is not None else _v
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if _v is not None:
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self["templateitemname"] = _v
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_v = arg.pop("values", None)
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_v = values if values is not None else _v
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if _v is not None:
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self["values"] = _v
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_v = arg.pop("valuessrc", None)
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_v = valuessrc if valuessrc is not None else _v
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if _v is not None:
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self["valuessrc"] = _v
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_v = arg.pop("visible", None)
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_v = visible if visible is not None else _v
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if _v is not None:
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self["visible"] = _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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