def __init__(self, arg=None, dtickrange=None, value=None, **kwargs):
"""
Construct a new Tickformatstop object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of
plotly.graph_objs.carpet.aaxis.Tickformatstop
dtickrange
range [*min*, *max*], where *min*, *max* - dtick values
which describe some zoom level, it is possible to omit
*min* or *max* value by passing *null*
value
string - dtickformat for described zoom level, the same
as *tickformat*
Returns
-------
Tickformatstop
"""
super(Tickformatstop, self).__init__('tickformatstops')
# 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.carpet.aaxis.Tickformatstop
constructor must be a dict or
an instance of plotly.graph_objs.carpet.aaxis.Tickformatstop""")
# Import validators
# -----------------
from plotly.validators.carpet.aaxis import (tickformatstop as
v_tickformatstop)
# Initialize validators
# ---------------------
self._validators['dtickrange'] = v_tickformatstop.DtickrangeValidator()
self._validators['value'] = v_tickformatstop.ValueValidator()
# Populate data dict with properties
# ----------------------------------
_v = arg.pop('dtickrange', None)
self.dtickrange = dtickrange if dtickrange is not None else _v
_v = arg.pop('value', None)
self.value = value if value is not None else _v
# Process unknown kwargs
# ----------------------
self._process_kwargs(**dict(arg, **kwargs))
def __init__(
self,
arg=None,
dtickrange=None,
enabled=None,
name=None,
templateitemname=None,
value=None,
**kwargs
):
"""
Construct a new Tickformatstop object
Parameters
----------
arg
dict of properties compatible with this constructor or
an instance of
plotly.graph_objs.carpet.aaxis.Tickformatstop
dtickrange
range [*min*, *max*], where "min", "max" - dtick values
which describe some zoom level, it is possible to omit
"min" or "max" value by passing "null"
enabled
Determines whether or not this stop is used. If
`false`, this stop is ignored even within its
`dtickrange`.
name
When used in a template, named items are created in the
output figure in addition to any items the figure
already has in this array. You can modify these items
in the output figure by making your own item with
`templateitemname` matching this `name` alongside your
modifications (including `visible: false` or `enabled:
false` to hide it). Has no effect outside of a
template.
templateitemname
Used to refer to a named item in this array in the
template. Named items from the template will be created
even without a matching item in the input figure, but
you can modify one by making an item with
`templateitemname` matching its `name`, alongside your
modifications (including `visible: false` or `enabled:
false` to hide it). If there is no template or no
matching item, this item will be hidden unless you
explicitly show it with `visible: true`.
value
string - dtickformat for described zoom level, the same
as "tickformat"
Returns
-------
Tickformatstop
"""
super(Tickformatstop, self).__init__("tickformatstops")
# 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.carpet.aaxis.Tickformatstop
constructor must be a dict or
an instance of plotly.graph_objs.carpet.aaxis.Tickformatstop"""
)
# Handle skip_invalid
# -------------------
self._skip_invalid = kwargs.pop("skip_invalid", False)
# Import validators
# -----------------
from plotly.validators.carpet.aaxis import tickformatstop as v_tickformatstop
# Initialize validators
# ---------------------
self._validators["dtickrange"] = v_tickformatstop.DtickrangeValidator()
self._validators["enabled"] = v_tickformatstop.EnabledValidator()
self._validators["name"] = v_tickformatstop.NameValidator()
self._validators[
"templateitemname"
] = v_tickformatstop.TemplateitemnameValidator()
self._validators["value"] = v_tickformatstop.ValueValidator()
# Populate data dict with properties
# ----------------------------------
_v = arg.pop("dtickrange", None)
self["dtickrange"] = dtickrange if dtickrange is not None else _v
_v = arg.pop("enabled", None)
self["enabled"] = enabled if enabled is not None else _v
_v = arg.pop("name", None)
self["name"] = name if name is not None else _v
_v = arg.pop("templateitemname", None)
self["templateitemname"] = (
templateitemname if templateitemname is not None else _v
)
_v = arg.pop("value", None)
self["value"] = value if value is not None else _v
# Process unknown kwargs
# ----------------------
self._process_kwargs(**dict(arg, **kwargs))
# Reset skip_invalid
# ------------------
self._skip_invalid = False