from plotly.basedatatypes import BaseLayoutHierarchyType as _BaseLayoutHierarchyType import copy as _copy class Domain(_BaseLayoutHierarchyType): # class properties # -------------------- _parent_path_str = "layout.geo" _path_str = "layout.geo.domain" _valid_props = {"column", "row", "x", "y"} # column # ------ @property def column(self): """ If there is a layout grid, use the domain for this column in the grid for this geo subplot . Note that geo subplots are constrained by domain. In general, when `projection.scale` is set to 1. a map will fit either its x or y domain, but not both. The 'column' property is a integer and may be specified as: - An int (or float that will be cast to an int) in the interval [0, 9223372036854775807] Returns ------- int """ return self["column"] @column.setter def column(self, val): self["column"] = val # row # --- @property def row(self): """ If there is a layout grid, use the domain for this row in the grid for this geo subplot . Note that geo subplots are constrained by domain. In general, when `projection.scale` is set to 1. a map will fit either its x or y domain, but not both. The 'row' property is a integer and may be specified as: - An int (or float that will be cast to an int) in the interval [0, 9223372036854775807] Returns ------- int """ return self["row"] @row.setter def row(self, val): self["row"] = val # x # - @property def x(self): """ Sets the horizontal domain of this geo subplot (in plot fraction). Note that geo subplots are constrained by domain. In general, when `projection.scale` is set to 1. a map will fit either its x or y domain, but not both. The 'x' property is an info array that may be specified as: * a list or tuple of 2 elements where: (0) The 'x[0]' property is a number and may be specified as: - An int or float in the interval [0, 1] (1) The 'x[1]' property is a number and may be specified as: - An int or float in the interval [0, 1] Returns ------- list """ return self["x"] @x.setter def x(self, val): self["x"] = val # y # - @property def y(self): """ Sets the vertical domain of this geo subplot (in plot fraction). Note that geo subplots are constrained by domain. In general, when `projection.scale` is set to 1. a map will fit either its x or y domain, but not both. The 'y' property is an info array that may be specified as: * a list or tuple of 2 elements where: (0) The 'y[0]' property is a number and may be specified as: - An int or float in the interval [0, 1] (1) The 'y[1]' property is a number and may be specified as: - An int or float in the interval [0, 1] Returns ------- list """ return self["y"] @y.setter def y(self, val): self["y"] = val # Self properties description # --------------------------- @property def _prop_descriptions(self): return """\ column If there is a layout grid, use the domain for this column in the grid for this geo subplot . Note that geo subplots are constrained by domain. In general, when `projection.scale` is set to 1. a map will fit either its x or y domain, but not both. row If there is a layout grid, use the domain for this row in the grid for this geo subplot . Note that geo subplots are constrained by domain. In general, when `projection.scale` is set to 1. a map will fit either its x or y domain, but not both. x Sets the horizontal domain of this geo subplot (in plot fraction). Note that geo subplots are constrained by domain. In general, when `projection.scale` is set to 1. a map will fit either its x or y domain, but not both. y Sets the vertical domain of this geo subplot (in plot fraction). Note that geo subplots are constrained by domain. In general, when `projection.scale` is set to 1. a map will fit either its x or y domain, but not both. """ 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.geo.Domain` column If there is a layout grid, use the domain for this column in the grid for this geo subplot . Note that geo subplots are constrained by domain. In general, when `projection.scale` is set to 1. a map will fit either its x or y domain, but not both. row If there is a layout grid, use the domain for this row in the grid for this geo subplot . Note that geo subplots are constrained by domain. In general, when `projection.scale` is set to 1. a map will fit either its x or y domain, but not both. x Sets the horizontal domain of this geo subplot (in plot fraction). Note that geo subplots are constrained by domain. In general, when `projection.scale` is set to 1. a map will fit either its x or y domain, but not both. y Sets the vertical domain of this geo subplot (in plot fraction). Note that geo subplots are constrained by domain. In general, when `projection.scale` is set to 1. a map will fit either its x or y domain, but not both. Returns ------- Domain """ super(Domain, self).__init__("domain") if "_parent" in kwargs: self._parent = kwargs["_parent"] return # 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.geo.Domain constructor must be a dict or an instance of :class:`plotly.graph_objs.layout.geo.Domain`""" ) # Handle skip_invalid # ------------------- self._skip_invalid = kwargs.pop("skip_invalid", False) self._validate = kwargs.pop("_validate", True) # Populate data dict with properties # ---------------------------------- _v = arg.pop("column", None) _v = column if column is not None else _v if _v is not None: self["column"] = _v _v = arg.pop("row", None) _v = row if row is not None else _v if _v is not None: self["row"] = _v _v = arg.pop("x", None) _v = x if x is not None else _v if _v is not None: self["x"] = _v _v = arg.pop("y", None) _v = y if y is not None else _v if _v is not None: self["y"] = _v # Process unknown kwargs # ---------------------- self._process_kwargs(**dict(arg, **kwargs)) # Reset skip_invalid # ------------------ self._skip_invalid = False