check failures

Author: simonjayhawkins

pandas/core/arrays/base.py

@@ -33,19 +33,17 @@
 
 
 def try_cast_to_ea(cls_or_instance, obj, dtype=None):
-    """
-    Call to `_from_sequence` that returns the object unchanged on Exception.
+    """Call to `_from_sequence` that returns the object unchanged on Exception.
 
     Parameters
-    ----------
+    ---------
     cls_or_instance : ExtensionArray subclass or instance
     obj : arraylike
         Values to pass to cls._from_sequence
     dtype : ExtensionDtype, optional
 
     Returns
     -------
-    ExtensionArray or obj
     """
     try:
         result = cls_or_instance._from_sequence(obj, dtype=dtype)
@@ -181,7 +179,6 @@ class ExtensionArray:
     By default, ExtensionArrays are not hashable.  Immutable subclasses may
     override this behavior.
     """
-
     # '_typ' is for pandas.core.dtypes.generic.ABCExtensionArray.
     # Don't override this.
     _typ = "extension"
@@ -238,6 +235,7 @@ def _from_sequence_of_strings(cls, strings, dtype=None, copy=False):
 
     @classmethod
     def _from_factorized(cls, values, original):
+
         """
         Reconstruct an ExtensionArray after factorization.
 
@@ -253,6 +251,7 @@ def _from_factorized(cls, values, original):
         factorize
         ExtensionArray.factorize
         """
+
         raise AbstractMethodError(cls)
 
     # ------------------------------------------------------------------------
@@ -287,13 +286,13 @@ def __getitem__(self, item):
         if the slice is length 0 or 1.
 
         For a boolean mask, return an instance of ``ExtensionArray``, filtered
-        to the values where ``item`` is True.
+       to the values where ``item`` is True.
         """
         raise AbstractMethodError(self)
 
     def __setitem__(self, key: Union[int, np.ndarray], value: Any) -> None:
         """
-        Set one or more values inplace.
+         Set one or more values inplace.
 
         This method is not required to satisfy the pandas extension array
         interface.
@@ -348,8 +347,7 @@ def __len__(self) -> int:
 
     def __iter__(self):
         """
-        Iterate over elements of the array.
-        """
+        Iterate over elements of the array."""
         # This needs to be implemented so that pandas recognizes extension
         # arrays as list-like. The default implementation makes successive
         # calls to ``__getitem__``, which may be slower than necessary.
@@ -395,9 +393,7 @@ def to_numpy(self, dtype=None, copy=False, na_value=lib.no_default):
 
     @property
     def dtype(self) -> ExtensionDtype:
-        """
-        An instance of 'ExtensionDtype'.
-        """
+        "An instance of 'ExtensionDtype'."
         raise AbstractMethodError(self)
 
     @property
@@ -430,9 +426,9 @@ def nbytes(self) -> int:
     def astype(self, dtype, copy=True):
         """
         Cast to a NumPy array with 'dtype'.
-
         Parameters
         ----------
+
         dtype : str or dtype
             Typecode or data-type to which the array is cast.
         copy : bool, default True
@@ -475,9 +471,6 @@ def _values_for_argsort(self) -> np.ndarray:
 
         Returns
         -------
-        ndarray
-            The transformed values should maintain the ordering between values
-            within the array.
 
         See Also
         --------
@@ -510,8 +503,7 @@ def argsort(
 
         See Also
         --------
-        numpy.argsort : Sorting implementation used internally.
-        """
+        numpy.argsort : Sorting implementation used internally."""
         # Implementor note: You have two places to override the behavior of
         # argsort.
         # 1. _values_for_argsort : construct the values passed to np.argsort
@@ -585,39 +577,39 @@ def dropna(self):
 
     def shift(self, periods: int = 1, fill_value: object = None) -> ABCExtensionArray:
         """
-        Shift values by desired number.
+            Shift values by desired number.
 
-        Newly introduced missing values are filled with
-        ``self.dtype.na_value``.
+            Newly introduced missing values are filled with
+            ``self.dtype.na_value``.
 
-        .. versionadded:: 0.24.0
+            .. versionadded:: 0.24.0
 
-        Parameters
-        ----------
-        periods : int, default 1
-            The number of periods to shift. Negative values are allowed
-            for shifting backwards.
+            Parameters
+            ----------
+            periods : int, default 1
+                The number of periods to shift. Negative values are allowed
+                for shifting backwards.
 
-        fill_value : object, optional
-            The scalar value to use for newly introduced missing values.
-            The default is ``self.dtype.na_value``.
+            fill_value : object, optional
+                The scalar value to use for newly introduced missing values.
+                The default is ``self.dtype.na_value``.
 
-            .. versionadded:: 0.24.0
+                .. versionadded:: 0.24.0
 
-        Returns
-        -------
-        ExtensionArray
-            Shifted.
+            Returns
+            -------
+            ExtensionArray
+                Shifted.
 
-        Notes
-        -----
-        If ``self`` is empty or ``periods`` is 0, a copy of ``self`` is
-        returned.
+            Notes
+            -----
+            If ``self`` is empty or ``periods`` is 0, a copy of ``self`` is
+            returned.
 
-        If ``periods > len(self)``, then an array of size
-        len(self) is returned, with all values filled with
-        ``self.dtype.na_value``.
-        """
+            If ``periods > len(self)``, then an array of size
+            len(self) is returned, with all values filled with
+            ``self.dtype.na_value``.
+            """
         # Note: this implementation assumes that `self.dtype.na_value` can be
         # stored in an instance of your ExtensionArray with `self.dtype`.
         if not len(self) or periods == 0:
@@ -638,8 +630,7 @@ def shift(self, periods: int = 1, fill_value: object = None) -> ABCExtensionArra
         return self._concat_same_type([a, b])
 
     def unique(self):
-        """
-        Compute the ExtensionArray of unique values.
+        """Compute the ExtensionArray of unique values.
 
         Returns
         -------