def __init__(self, arg=None, type=None, **kwargs):
"""
Construct a new Axis object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of plotly.graph_objs.splom.dimension.Axis
type
Sets the axis type for this dimension's generated x and
y axes. Note that the axis `type` values set in layout
take precedence over this attribute.
Returns
-------
Axis
"""
super(Axis, self).__init__('axis')
# 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.splom.dimension.Axis
constructor must be a dict or
an instance of plotly.graph_objs.splom.dimension.Axis""")
# Handle skip_invalid
# -------------------
self._skip_invalid = kwargs.pop('skip_invalid', False)
# Import validators
# -----------------
from plotly.validators.splom.dimension import (axis as v_axis)
# Initialize validators
# ---------------------
self._validators['type'] = v_axis.TypeValidator()
# Populate data dict with properties
# ----------------------------------
_v = arg.pop('type', None)
self['type'] = type if type 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, matches=None, type=None, **kwargs):
"""
Construct a new Axis object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of plotly.graph_objs.splom.dimension.Axis
matches
Determines whether or not the x & y axes generated by
this dimension match. Equivalent to setting the
`matches` axis attribute in the layout with the correct
axis id.
type
Sets the axis type for this dimension's generated x and
y axes. Note that the axis `type` values set in layout
take precedence over this attribute.
Returns
-------
Axis
"""
super(Axis, self).__init__("axis")
# 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.splom.dimension.Axis
constructor must be a dict or
an instance of plotly.graph_objs.splom.dimension.Axis"""
)
# Handle skip_invalid
# -------------------
self._skip_invalid = kwargs.pop("skip_invalid", False)
# Import validators
# -----------------
from plotly.validators.splom.dimension import axis as v_axis
# Initialize validators
# ---------------------
self._validators["matches"] = v_axis.MatchesValidator()
self._validators["type"] = v_axis.TypeValidator()
# Populate data dict with properties
# ----------------------------------
_v = arg.pop("matches", None)
self["matches"] = matches if matches is not None else _v
_v = arg.pop("type", None)
self["type"] = type if type is not None else _v
# Process unknown kwargs
# ----------------------
self._process_kwargs(**dict(arg, **kwargs))
# Reset skip_invalid
# ------------------
self._skip_invalid = False