first commit

.venv/Lib/site-packages/plotly/graph_objs/splom/dimension/__init__.py

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+import sys
+from typing import TYPE_CHECKING
+
+if sys.version_info < (3, 7) or TYPE_CHECKING:
+    from ._axis import Axis
+else:
+    from _plotly_utils.importers import relative_import
+
+    __all__, __getattr__, __dir__ = relative_import(__name__, [], ["._axis.Axis"])

.venv/Lib/site-packages/plotly/graph_objs/splom/dimension/_axis.py

@@ -0,0 +1,142 @@
+from plotly.basedatatypes import BaseTraceHierarchyType as _BaseTraceHierarchyType
+import copy as _copy
+
+
+class Axis(_BaseTraceHierarchyType):
+
+    # class properties
+    # --------------------
+    _parent_path_str = "splom.dimension"
+    _path_str = "splom.dimension.axis"
+    _valid_props = {"matches", "type"}
+
+    # matches
+    # -------
+    @property
+    def matches(self):
+        """
+        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.
+
+        The 'matches' property must be specified as a bool
+        (either True, or False)
+
+        Returns
+        -------
+        bool
+        """
+        return self["matches"]
+
+    @matches.setter
+    def matches(self, val):
+        self["matches"] = val
+
+    # type
+    # ----
+    @property
+    def type(self):
+        """
+        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.
+
+        The 'type' property is an enumeration that may be specified as:
+          - One of the following enumeration values:
+                ['linear', 'log', 'date', 'category']
+
+        Returns
+        -------
+        Any
+        """
+        return self["type"]
+
+    @type.setter
+    def type(self, val):
+        self["type"] = val
+
+    # Self properties description
+    # ---------------------------
+    @property
+    def _prop_descriptions(self):
+        return """\
+        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.
+        """
+
+    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
+            :class:`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")
+
+        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.splom.dimension.Axis
+constructor must be a dict or
+an instance of :class:`plotly.graph_objs.splom.dimension.Axis`"""
+            )
+
+        # 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("matches", None)
+        _v = matches if matches is not None else _v
+        if _v is not None:
+            self["matches"] = _v
+        _v = arg.pop("type", None)
+        _v = type if type is not None else _v
+        if _v is not None:
+            self["type"] = _v
+
+        # Process unknown kwargs
+        # ----------------------
+        self._process_kwargs(**dict(arg, **kwargs))
+
+        # Reset skip_invalid
+        # ------------------
+        self._skip_invalid = False