def __init__(self,
arg=None,
column=None,
row=None,
x=None,
y=None,
**kwargs):
"""
Construct a new Domain object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of
:class:`plotly.graph_objs.layout.mapbox.Domain`
column
If there is a layout grid, use the domain for this
column in the grid for this mapbox subplot .
row
If there is a layout grid, use the domain for this row
in the grid for this mapbox subplot .
x
Sets the horizontal domain of this mapbox subplot (in
plot fraction).
y
Sets the vertical domain of this mapbox subplot (in
plot fraction).
Returns
-------
Domain
"""
super(Domain, self).__init__("domain")
# Validate arg
# ------------
if arg is None:
arg = {}
elif isinstance(arg, self.__class__):
arg = arg.to_plotly_json()
elif isinstance(arg, dict):
arg = _copy.copy(arg)
else:
raise ValueError("""\
The first argument to the plotly.graph_objs.layout.mapbox.Domain
constructor must be a dict or
an instance of :class:`plotly.graph_objs.layout.mapbox.Domain`""")
# Handle skip_invalid
# -------------------
self._skip_invalid = kwargs.pop("skip_invalid", False)
# Import validators
# -----------------
from plotly.validators.layout.mapbox import domain as v_domain
# Initialize validators
# ---------------------
self._validators["column"] = v_domain.ColumnValidator()
self._validators["row"] = v_domain.RowValidator()
self._validators["x"] = v_domain.XValidator()
self._validators["y"] = v_domain.YValidator()
# Populate data dict with properties
# ----------------------------------
_v = arg.pop("column", None)
self["column"] = column if column is not None else _v
_v = arg.pop("row", None)
self["row"] = row if row is not None else _v
_v = arg.pop("x", None)
self["x"] = x if x is not None else _v
_v = arg.pop("y", None)
self["y"] = y if y is not None else _v
# Process unknown kwargs
# ----------------------
self._process_kwargs(**dict(arg, **kwargs))
# Reset skip_invalid
# ------------------
self._skip_invalid = False
def __init__(
self, arg=None, column=None, row=None, x=None, y=None, **kwargs
):
"""
Construct a new Domain object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of plotly.graph_objs.layout.mapbox.Domain
column
If there is a layout grid, use the domain for this
column in the grid for this mapbox subplot .
row
If there is a layout grid, use the domain for this row
in the grid for this mapbox subplot .
x
Sets the horizontal domain of this mapbox subplot (in
plot fraction).
y
Sets the vertical domain of this mapbox subplot (in
plot fraction).
Returns
-------
Domain
"""
super(Domain, self).__init__('domain')
# Validate arg
# ------------
if arg is None:
arg = {}
elif isinstance(arg, self.__class__):
arg = arg.to_plotly_json()
elif isinstance(arg, dict):
arg = copy.copy(arg)
else:
raise ValueError(
"""\
The first argument to the plotly.graph_objs.layout.mapbox.Domain
constructor must be a dict or
an instance of plotly.graph_objs.layout.mapbox.Domain"""
)
# Import validators
# -----------------
from plotly.validators.layout.mapbox import (domain as v_domain)
# Initialize validators
# ---------------------
self._validators['column'] = v_domain.ColumnValidator()
self._validators['row'] = v_domain.RowValidator()
self._validators['x'] = v_domain.XValidator()
self._validators['y'] = v_domain.YValidator()
# Populate data dict with properties
# ----------------------------------
v = arg.pop('column', None)
self.column = column if column is not None else v
v = arg.pop('row', None)
self.row = row if row is not None else v
v = arg.pop('x', None)
self.x = x if x is not None else v
v = arg.pop('y', None)
self.y = y if y is not None else v
# Process unknown kwargs
# ----------------------
self._process_kwargs(**dict(arg, **kwargs))