DOC: Remove numpydoc hack, list methods explicitly

doc/source/api.rst

@@ -653,6 +653,12 @@ The dtype of a ``Categorical`` can be described by a :class:`pandas.api.types.Ca
 
    api.types.CategoricalDtype
 
+.. autosummary::
+   :toctree: generated/
+
+   api.types.CategoricalDtype.categories
+   api.types.CategoricalDtype.ordered
+
 If the Series is of dtype ``CategoricalDtype``, ``Series.cat`` can be used to change the categorical
 data. This accessor is similar to the ``Series.dt`` or ``Series.str`` and has the
 following usable methods and properties:
@@ -692,6 +698,9 @@ adding ordering information or special categories is need at creation time of th
 .. autosummary::
    :toctree: generated/
 
+   Categorical.categories
+   Categorical.ordered
+   Categorical.codes
    Categorical.from_codes
 
 ``np.asarray(categorical)`` works by implementing the array interface. Be aware, that this converts
@@ -1438,6 +1447,15 @@ Numeric Index
    UInt64Index
    Float64Index
 
+.. We need this autosummary so that the methods are generated.
+.. Separate block, since they aren't classes.
+
+.. autosummary::
+   :toctree: generated/
+
+   RangeIndex.from_range
+
+
 .. _api.categoricalindex:
 
 CategoricalIndex
@@ -1466,6 +1484,8 @@ Categorical Components
    CategoricalIndex.set_categories
    CategoricalIndex.as_ordered
    CategoricalIndex.as_unordered
+   CategoricalIndex.get_loc
+   CategoricalIndex.map
 
 .. _api.intervalindex:
 
@@ -1488,6 +1508,15 @@ IntervalIndex Components
    IntervalIndex.from_tuples
    IntervalIndex.from_breaks
    IntervalIndex.from_intervals
+   IntervalIndex.contains
+   IntervalIndex.get_loc
+   IntervalIndex.left
+   IntervalIndex.right
+   IntervalIndex.mid
+   IntervalIndex.closed
+   IntervalIndex.values
+   IntervalIndex.is_non_overlapping_monotonic
+
 
 .. _api.multiindex:
 

doc/source/conf.py

@@ -68,6 +68,7 @@
               ]
 
 exclude_patterns = ['**.ipynb_checkpoints']
+numpydoc_show_class_members = False
 
 with open("index.rst") as f:
     index_rst_lines = f.readlines()

doc/sphinxext/numpydoc/numpydoc.py

@@ -42,13 +42,6 @@ def mangle_docstrings(app, what, name, obj, options, lines,
                class_members_toctree=app.config.numpydoc_class_members_toctree,
               )
 
-    # PANDAS HACK (to remove the list of methods/attributes for Categorical)
-    no_autosummary = [".Categorical", "CategoricalIndex", "IntervalIndex",
-                      "RangeIndex", "Int64Index", "UInt64Index",
-                      "Float64Index", "PeriodIndex", "CategoricalDtype"]
-    if what == "class" and any(name.endswith(n) for n in no_autosummary):
-        cfg['class_members_list'] = False
-
     if what == 'module':
         # Strip top title
         title_re = re.compile(sixu('^\\s*[#*=]{4,}\\n[a-z0-9 -]+\\n[#*=]{4,}\\s*'),

pandas/core/dtypes/dtypes.py

@@ -120,6 +120,11 @@ class CategoricalDtype(ExtensionDtype):
         Must be unique, and must not contain any nulls.
     ordered : bool, default False
 
+    Attributes
+    ----------
+    categories
+    ordered
+
     Notes
     -----
     This class is useful for specifying the type of a ``Categorical``

pandas/core/indexes/category.py

@@ -49,6 +49,25 @@ class CategoricalIndex(Index, accessor.PandasDelegate):
     See Also
     --------
     Categorical, Index
+
+    Methods
+    -------
+    rename_categories
+    reorder_categories
+    add_categories
+    remove_categories
+    remove_unused_categories
+    set_categories
+    as_ordered
+    as_unordered
+    get_loc
+    map
+
+    Attributes
+    ----------
+    codes
+    categories
+    ordered
     """
 
     _typ = 'categoricalindex'

pandas/core/indexes/interval.py

@@ -154,6 +154,24 @@ class IntervalIndex(IntervalMixin, Index):
     IntervalIndex.from_intervals, IntervalIndex.from_tuples
     cut, qcut : convert arrays of continuous data into categoricals/series of
                 ``Interval``.
+
+    Methods
+    -------
+    from_arrays
+    from_tuples
+    from_breaks
+    from_intervals
+    contains
+    get_loc
+
+    Attributes
+    ----------
+    left
+    right
+    mid
+    closed
+    values
+    is_non_overlapping_monotonic
     """
     _typ = 'intervalindex'
     _comparables = ['name']

pandas/core/indexes/period.py

@@ -160,6 +160,37 @@ class PeriodIndex(DatelikeOps, DatetimeIndexOpsMixin, Int64Index):
         Timezone for converting datetime64 data to Periods
     dtype : str or PeriodDtype, default None
 
+    Attributes
+    ----------
+    day
+    dayofweek
+    dayofyear
+    days_in_month
+    daysinmonth
+    end_time
+    freq
+    freqstr
+    hour
+    is_leap_year
+    minute
+    month
+    quarter
+    qyear
+    second
+    start_time
+    week
+    weekday
+    weekofyear
+    year
+
+    Methods
+    -------
+    asfreq
+    strftime
+    to_timestamp
+    tz_convert
+    tz_localize
+
     Examples
     --------
     >>> idx = PeriodIndex(year=year_arr, quarter=q_arr)

pandas/core/indexes/range.py

@@ -48,6 +48,10 @@ class RangeIndex(Int64Index):
     --------
     Index : The base pandas Index type
     Int64Index : Index of int64 data
+
+    Methods
+    -------
+    from_range
     """
 
     _typ = 'rangeindex'