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https://github.com/aykhans/AzSuicideDataVisualization.git
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207 lines
5.6 KiB
Python
207 lines
5.6 KiB
Python
from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
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import copy as _copy
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class Domain(_BaseTraceHierarchyType):
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# class properties
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# --------------------
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_parent_path_str = "sankey"
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_path_str = "sankey.domain"
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_valid_props = {"column", "row", "x", "y"}
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# column
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# ------
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@property
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def column(self):
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"""
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If there is a layout grid, use the domain for this column in
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the grid for this sankey trace .
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The 'column' property is a integer and may be specified as:
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- An int (or float that will be cast to an int)
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in the interval [0, 9223372036854775807]
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Returns
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-------
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int
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"""
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return self["column"]
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@column.setter
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def column(self, val):
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self["column"] = val
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# row
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# ---
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@property
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def row(self):
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"""
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If there is a layout grid, use the domain for this row in the
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grid for this sankey trace .
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The 'row' property is a integer and may be specified as:
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- An int (or float that will be cast to an int)
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in the interval [0, 9223372036854775807]
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Returns
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-------
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int
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"""
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return self["row"]
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@row.setter
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def row(self, val):
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self["row"] = val
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# x
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# -
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@property
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def x(self):
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"""
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Sets the horizontal domain of this sankey trace (in plot
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fraction).
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The 'x' property is an info array that may be specified as:
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* a list or tuple of 2 elements where:
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(0) The 'x[0]' property is a number and may be specified as:
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- An int or float in the interval [0, 1]
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(1) The 'x[1]' property is a number and may be specified as:
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- An int or float in the interval [0, 1]
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Returns
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-------
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list
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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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# y
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# -
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@property
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def y(self):
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"""
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Sets the vertical domain of this sankey trace (in plot
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fraction).
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The 'y' property is an info array that may be specified as:
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* a list or tuple of 2 elements where:
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(0) The 'y[0]' property is a number and may be specified as:
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- An int or float in the interval [0, 1]
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(1) The 'y[1]' property is a number and may be specified as:
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- An int or float in the interval [0, 1]
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Returns
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-------
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list
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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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# 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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column
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If there is a layout grid, use the domain for this
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column in the grid for this sankey trace .
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row
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If there is a layout grid, use the domain for this row
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in the grid for this sankey trace .
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x
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Sets the horizontal domain of this sankey trace (in
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plot fraction).
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y
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Sets the vertical domain of this sankey trace (in plot
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fraction).
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"""
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def __init__(self, arg=None, column=None, row=None, x=None, y=None, **kwargs):
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"""
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Construct a new Domain 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 :class:`plotly.graph_objs.sankey.Domain`
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column
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If there is a layout grid, use the domain for this
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column in the grid for this sankey trace .
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row
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If there is a layout grid, use the domain for this row
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in the grid for this sankey trace .
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x
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Sets the horizontal domain of this sankey trace (in
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plot fraction).
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y
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Sets the vertical domain of this sankey trace (in plot
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fraction).
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Returns
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-------
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Domain
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"""
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super(Domain, self).__init__("domain")
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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.sankey.Domain
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constructor must be a dict or
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an instance of :class:`plotly.graph_objs.sankey.Domain`"""
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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("column", None)
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_v = column if column is not None else _v
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if _v is not None:
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self["column"] = _v
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_v = arg.pop("row", None)
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_v = row if row is not None else _v
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if _v is not None:
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self["row"] = _v
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_v = arg.pop("x", None)
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_v = x if x is not None else _v
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if _v is not None:
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self["x"] = _v
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_v = arg.pop("y", None)
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_v = y if y is not None else _v
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if _v is not None:
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self["y"] = _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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