from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy


class Z(_BaseTraceHierarchyType):

    # opacity
    # -------
    @property
    def opacity(self):
        """
        Sets the projection color.
    
        The 'opacity' property is a number and may be specified as:
          - An int or float in the interval [0, 1]

        Returns
        -------
        int|float
        """
        return self["opacity"]

    @opacity.setter
    def opacity(self, val):
        self["opacity"] = val

    # scale
    # -----
    @property
    def scale(self):
        """
        Sets the scale factor determining the size of the projection
        marker points.
    
        The 'scale' property is a number and may be specified as:
          - An int or float in the interval [0, 10]

        Returns
        -------
        int|float
        """
        return self["scale"]

    @scale.setter
    def scale(self, val):
        self["scale"] = val

    # show
    # ----
    @property
    def show(self):
        """
        Sets whether or not projections are shown along the z axis.
    
        The 'show' property must be specified as a bool
        (either True, or False)

        Returns
        -------
        bool
        """
        return self["show"]

    @show.setter
    def show(self, val):
        self["show"] = val

    # property parent name
    # --------------------
    @property
    def _parent_path_str(self):
        return "scatter3d.projection"

    # Self properties description
    # ---------------------------
    @property
    def _prop_descriptions(self):
        return """\
        opacity
            Sets the projection color.
        scale
            Sets the scale factor determining the size of the
            projection marker points.
        show
            Sets whether or not projections are shown along the z
            axis.
        """

    def __init__(self, arg=None, opacity=None, scale=None, show=None, **kwargs):
        """
        Construct a new Z object
        
        Parameters
        ----------
        arg
            dict of properties compatible with this constructor or
            an instance of
            :class:`plotly.graph_objs.scatter3d.projection.Z`
        opacity
            Sets the projection color.
        scale
            Sets the scale factor determining the size of the
            projection marker points.
        show
            Sets whether or not projections are shown along the z
            axis.

        Returns
        -------
        Z
        """
        super(Z, self).__init__("z")

        # 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.scatter3d.projection.Z 
constructor must be a dict or 
an instance of :class:`plotly.graph_objs.scatter3d.projection.Z`"""
            )

        # Handle skip_invalid
        # -------------------
        self._skip_invalid = kwargs.pop("skip_invalid", False)

        # Import validators
        # -----------------
        from plotly.validators.scatter3d.projection import z as v_z

        # Initialize validators
        # ---------------------
        self._validators["opacity"] = v_z.OpacityValidator()
        self._validators["scale"] = v_z.ScaleValidator()
        self._validators["show"] = v_z.ShowValidator()

        # Populate data dict with properties
        # ----------------------------------
        _v = arg.pop("opacity", None)
        self["opacity"] = opacity if opacity is not None else _v
        _v = arg.pop("scale", None)
        self["scale"] = scale if scale is not None else _v
        _v = arg.pop("show", None)
        self["show"] = show if show is not None else _v

        # Process unknown kwargs
        # ----------------------
        self._process_kwargs(**dict(arg, **kwargs))

        # Reset skip_invalid
        # ------------------
        self._skip_invalid = False


from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy


class Y(_BaseTraceHierarchyType):

    # opacity
    # -------
    @property
    def opacity(self):
        """
        Sets the projection color.
    
        The 'opacity' property is a number and may be specified as:
          - An int or float in the interval [0, 1]

        Returns
        -------
        int|float
        """
        return self["opacity"]

    @opacity.setter
    def opacity(self, val):
        self["opacity"] = val

    # scale
    # -----
    @property
    def scale(self):
        """
        Sets the scale factor determining the size of the projection
        marker points.
    
        The 'scale' property is a number and may be specified as:
          - An int or float in the interval [0, 10]

        Returns
        -------
        int|float
        """
        return self["scale"]

    @scale.setter
    def scale(self, val):
        self["scale"] = val

    # show
    # ----
    @property
    def show(self):
        """
        Sets whether or not projections are shown along the y axis.
    
        The 'show' property must be specified as a bool
        (either True, or False)

        Returns
        -------
        bool
        """
        return self["show"]

    @show.setter
    def show(self, val):
        self["show"] = val

    # property parent name
    # --------------------
    @property
    def _parent_path_str(self):
        return "scatter3d.projection"

    # Self properties description
    # ---------------------------
    @property
    def _prop_descriptions(self):
        return """\
        opacity
            Sets the projection color.
        scale
            Sets the scale factor determining the size of the
            projection marker points.
        show
            Sets whether or not projections are shown along the y
            axis.
        """

    def __init__(self, arg=None, opacity=None, scale=None, show=None, **kwargs):
        """
        Construct a new Y object
        
        Parameters
        ----------
        arg
            dict of properties compatible with this constructor or
            an instance of
            :class:`plotly.graph_objs.scatter3d.projection.Y`
        opacity
            Sets the projection color.
        scale
            Sets the scale factor determining the size of the
            projection marker points.
        show
            Sets whether or not projections are shown along the y
            axis.

        Returns
        -------
        Y
        """
        super(Y, self).__init__("y")

        # 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.scatter3d.projection.Y 
constructor must be a dict or 
an instance of :class:`plotly.graph_objs.scatter3d.projection.Y`"""
            )

        # Handle skip_invalid
        # -------------------
        self._skip_invalid = kwargs.pop("skip_invalid", False)

        # Import validators
        # -----------------
        from plotly.validators.scatter3d.projection import y as v_y

        # Initialize validators
        # ---------------------
        self._validators["opacity"] = v_y.OpacityValidator()
        self._validators["scale"] = v_y.ScaleValidator()
        self._validators["show"] = v_y.ShowValidator()

        # Populate data dict with properties
        # ----------------------------------
        _v = arg.pop("opacity", None)
        self["opacity"] = opacity if opacity is not None else _v
        _v = arg.pop("scale", None)
        self["scale"] = scale if scale is not None else _v
        _v = arg.pop("show", None)
        self["show"] = show if show is not None else _v

        # Process unknown kwargs
        # ----------------------
        self._process_kwargs(**dict(arg, **kwargs))

        # Reset skip_invalid
        # ------------------
        self._skip_invalid = False


from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
import copy as _copy


class X(_BaseTraceHierarchyType):

    # opacity
    # -------
    @property
    def opacity(self):
        """
        Sets the projection color.
    
        The 'opacity' property is a number and may be specified as:
          - An int or float in the interval [0, 1]

        Returns
        -------
        int|float
        """
        return self["opacity"]

    @opacity.setter
    def opacity(self, val):
        self["opacity"] = val

    # scale
    # -----
    @property
    def scale(self):
        """
        Sets the scale factor determining the size of the projection
        marker points.
    
        The 'scale' property is a number and may be specified as:
          - An int or float in the interval [0, 10]

        Returns
        -------
        int|float
        """
        return self["scale"]

    @scale.setter
    def scale(self, val):
        self["scale"] = val

    # show
    # ----
    @property
    def show(self):
        """
        Sets whether or not projections are shown along the x axis.
    
        The 'show' property must be specified as a bool
        (either True, or False)

        Returns
        -------
        bool
        """
        return self["show"]

    @show.setter
    def show(self, val):
        self["show"] = val

    # property parent name
    # --------------------
    @property
    def _parent_path_str(self):
        return "scatter3d.projection"

    # Self properties description
    # ---------------------------
    @property
    def _prop_descriptions(self):
        return """\
        opacity
            Sets the projection color.
        scale
            Sets the scale factor determining the size of the
            projection marker points.
        show
            Sets whether or not projections are shown along the x
            axis.
        """

    def __init__(self, arg=None, opacity=None, scale=None, show=None, **kwargs):
        """
        Construct a new X object
        
        Parameters
        ----------
        arg
            dict of properties compatible with this constructor or
            an instance of
            :class:`plotly.graph_objs.scatter3d.projection.X`
        opacity
            Sets the projection color.
        scale
            Sets the scale factor determining the size of the
            projection marker points.
        show
            Sets whether or not projections are shown along the x
            axis.

        Returns
        -------
        X
        """
        super(X, self).__init__("x")

        # 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.scatter3d.projection.X 
constructor must be a dict or 
an instance of :class:`plotly.graph_objs.scatter3d.projection.X`"""
            )

        # Handle skip_invalid
        # -------------------
        self._skip_invalid = kwargs.pop("skip_invalid", False)

        # Import validators
        # -----------------
        from plotly.validators.scatter3d.projection import x as v_x

        # Initialize validators
        # ---------------------
        self._validators["opacity"] = v_x.OpacityValidator()
        self._validators["scale"] = v_x.ScaleValidator()
        self._validators["show"] = v_x.ShowValidator()

        # Populate data dict with properties
        # ----------------------------------
        _v = arg.pop("opacity", None)
        self["opacity"] = opacity if opacity is not None else _v
        _v = arg.pop("scale", None)
        self["scale"] = scale if scale is not None else _v
        _v = arg.pop("show", None)
        self["show"] = show if show is not None else _v

        # Process unknown kwargs
        # ----------------------
        self._process_kwargs(**dict(arg, **kwargs))

        # Reset skip_invalid
        # ------------------
        self._skip_invalid = False


__all__ = ["X", "Y", "Z"]