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.mesh3d.colorbar.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.mesh3d.colorbar.Tickformatstop constructor must be a dict or an instance of plotly.graph_objs.mesh3d.colorbar.Tickformatstop""") # Import validators # ----------------- from plotly.validators.mesh3d.colorbar 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.mesh3d.colorbar.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.mesh3d.colorbar.Tickformatstop constructor must be a dict or an instance of plotly.graph_objs.mesh3d.colorbar.Tickformatstop""" ) # Import validators # ----------------- from plotly.validators.mesh3d.colorbar 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))