DOC: EX01 (Index and RangeIndex)

ci/code_checks.sh

@@ -145,13 +145,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         pandas.util.hash_pandas_object \
         pandas_object \
         pandas.api.interchange.from_dataframe \
-        pandas.Index.asof_locs \
-        pandas.Index.get_slice_bound \
-        pandas.RangeIndex \
-        pandas.RangeIndex.start \
-        pandas.RangeIndex.stop \
-        pandas.RangeIndex.step \
-        pandas.RangeIndex.from_range \
         pandas.CategoricalIndex.codes \
         pandas.CategoricalIndex.categories \
         pandas.CategoricalIndex.ordered \

pandas/core/indexes/base.py

@@ -5670,29 +5670,49 @@ def asof_locs(
         """
         Return the locations (indices) of labels in the index.
 
-        As in the `asof` function, if the label (a particular entry in
-        `where`) is not in the index, the latest index label up to the
+        As in the :meth:`pandas.Index.asof`, if the label (a particular entry in
+        ``where``) is not in the index, the latest index label up to the
         passed label is chosen and its index returned.
 
-        If all of the labels in the index are later than a label in `where`,
+        If all of the labels in the index are later than a label in ``where``,
         -1 is returned.
 
-        `mask` is used to ignore NA values in the index during calculation.
+        ``mask`` is used to ignore ``NA`` values in the index during calculation.
 
         Parameters
         ----------
         where : Index
             An Index consisting of an array of timestamps.
         mask : np.ndarray[bool]
             Array of booleans denoting where values in the original
-            data are not NA.
+            data are not ``NA``.
 
         Returns
         -------
         np.ndarray[np.intp]
-            An array of locations (indices) of the labels from the Index
-            which correspond to the return values of the `asof` function
-            for every element in `where`.
+            An array of locations (indices) of the labels from the index
+            which correspond to the return values of :meth:`pandas.Index.asof`
+            for every element in ``where``.
+
+        See Also
+        --------
+        Index.asof : Return the label from the index, or, if not present, the
+            previous one.
+
+        Examples
+        --------
+        >>> idx = pd.date_range('2023-06-01', periods=3, freq='D')
+        >>> where = pd.DatetimeIndex(['2023-05-30 00:12:00', '2023-06-01 00:00:00',
+        ...                           '2023-06-02 23:59:59'])
+        >>> mask = np.ones(3, dtype=bool)
+        >>> idx.asof_locs(where, mask)
+        array([-1,  0,  1])
+
+        We can use ``mask`` to ignore certain values in the index during calculation.
+
+        >>> mask[1] = False
+        >>> idx.asof_locs(where, mask)
+        array([-1,  0,  0])
         """
         # error: No overload variant of "searchsorted" of "ndarray" matches argument
         # types "Union[ExtensionArray, ndarray[Any, Any]]", "str"
@@ -6627,6 +6647,27 @@ def get_slice_bound(self, label, side: Literal["left", "right"]) -> int:
         -------
         int
             Index of label.
+
+        See Also
+        --------
+        Index.get_loc : Get integer location, slice or boolean mask for requested
+            label.
+
+        Examples
+        --------
+        >>> idx = pd.RangeIndex(5)
+        >>> idx.get_slice_bound(3, 'left')
+        3
+
+        >>> idx.get_slice_bound(3, 'right')
+        4
+
+        If ``label`` is non-unique in the index, an error will be raised.
+
+        >>> idx_duplicate = pd.Index(['a', 'b', 'a', 'c', 'd'])
+        >>> idx_duplicate.get_slice_bound('a', 'left')
+        Traceback (most recent call last):
+        KeyError: Cannot get left slice bound for non-unique label: 'a'
         """
 
         if side not in ("left", "right"):

pandas/core/indexes/range.py

@@ -95,6 +95,26 @@ class RangeIndex(Index):
     See Also
     --------
     Index : The base pandas Index type.
+
+    Examples
+    --------
+    >>> list(pd.RangeIndex(5))
+    [0, 1, 2, 3, 4]
+
+    >>> list(pd.RangeIndex(-2, 4))
+    [-2, -1, 0, 1, 2, 3]
+
+    >>> list(pd.RangeIndex(0, 10, 2))
+    [0, 2, 4, 6, 8]
+
+    >>> list(pd.RangeIndex(2, -10, -3))
+    [2, -1, -4, -7]
+
+    >>> list(pd.RangeIndex(0))
+    []
+
+    >>> list(pd.RangeIndex(1, 0))
+    []
     """
 
     _typ = "rangeindex"
@@ -148,11 +168,19 @@ def __new__(
     @classmethod
     def from_range(cls, data: range, name=None, dtype: Dtype | None = None) -> Self:
         """
-        Create RangeIndex from a range object.
+        Create :class:`pandas.RangeIndex` from a ``range`` object.
 
         Returns
         -------
         RangeIndex
+
+        Examples
+        --------
+        >>> pd.RangeIndex.from_range(range(5))
+        RangeIndex(start=0, stop=5, step=1)
+
+        >>> pd.RangeIndex.from_range(range(2, -10, -3))
+        RangeIndex(start=2, stop=-10, step=-3)
         """
         if not isinstance(data, range):
             raise TypeError(
@@ -252,6 +280,16 @@ def _format_with_header(self, header: list[str], na_rep: str) -> list[str]:
     def start(self) -> int:
         """
         The value of the `start` parameter (``0`` if this was not supplied).
+
+        Examples
+        --------
+        >>> idx = pd.RangeIndex(5)
+        >>> idx.start
+        0
+
+        >>> idx = pd.RangeIndex(2, -10, -3)
+        >>> idx.start
+        2
         """
         # GH 25710
         return self._range.start
@@ -260,13 +298,40 @@ def start(self) -> int:
     def stop(self) -> int:
         """
         The value of the `stop` parameter.
+
+        Examples
+        --------
+        >>> idx = pd.RangeIndex(5)
+        >>> idx.stop
+        5
+
+        >>> idx = pd.RangeIndex(2, -10, -3)
+        >>> idx.stop
+        -10
         """
         return self._range.stop
 
     @property
     def step(self) -> int:
         """
         The value of the `step` parameter (``1`` if this was not supplied).
+
+        Examples
+        --------
+        >>> idx = pd.RangeIndex(5)
+        >>> idx.step
+        1
+
+        >>> idx = pd.RangeIndex(2, -10, -3)
+        >>> idx.step
+        -3
+
+        Even if :class:`pandas.RangeIndex` is empty, ``step`` is still ``1`` if
+        not supplied.
+
+        >>> idx = pd.RangeIndex(1, 0)
+        >>> idx.step
+        1
         """
         # GH 25710
         return self._range.step