DOC: Fixed redirects in various parts of the documentation (#26497)

Author: lrjball

pandas/core/arrays/categorical.py

@@ -272,7 +272,8 @@ class Categorical(ExtensionArray, PandasObject):
     Notes
     -----
     See the `user guide
-    <http://pandas.pydata.org/pandas-docs/stable/categorical.html>`_ for more.
+    <http://pandas.pydata.org/pandas-docs/stable/user_guide/categorical.html>`_
+    for more.
 
     Examples
     --------

pandas/core/arrays/interval.py

@@ -95,7 +95,7 @@
 Notes
 -----
 See the `user guide
-<http://pandas.pydata.org/pandas-docs/stable/advanced.html#intervalindex>`_
+<http://pandas.pydata.org/pandas-docs/stable/user_guide/advanced.html#intervalindex>`_
 for more.
 
 %(examples)s\

pandas/core/dtypes/concat.py

@@ -244,7 +244,7 @@ def union_categoricals(to_union, sort_categories=False, ignore_order=False):
     -----
 
     To learn more about categories, see `link
-    <http://pandas.pydata.org/pandas-docs/stable/categorical.html#unioning>`__
+    <http://pandas.pydata.org/pandas-docs/stable/user_guide/categorical.html#unioning>`__
 
     Examples
     --------

pandas/core/generic.py

@@ -3328,8 +3328,8 @@ def _check_setitem_copy(self, stacklevel=4, t='setting', force=False):
                      "A value is trying to be set on a copy of a slice from a "
                      "DataFrame\n\n"
                      "See the caveats in the documentation: "
-                     "http://pandas.pydata.org/pandas-docs/stable/"
-                     "indexing.html#indexing-view-versus-copy"
+                     "http://pandas.pydata.org/pandas-docs/stable/user_guide/"
+                     "indexing.html#returning-a-view-versus-a-copy"
                      )
 
             else:
@@ -3338,8 +3338,8 @@ def _check_setitem_copy(self, stacklevel=4, t='setting', force=False):
                      "DataFrame.\n"
                      "Try using .loc[row_indexer,col_indexer] = value "
                      "instead\n\nSee the caveats in the documentation: "
-                     "http://pandas.pydata.org/pandas-docs/stable/"
-                     "indexing.html#indexing-view-versus-copy"
+                     "http://pandas.pydata.org/pandas-docs/stable/user_guide/"
+                     "indexing.html#returning-a-view-versus-a-copy"
                      )
 
             if value == 'raise':
@@ -7762,7 +7762,7 @@ def asfreq(self, freq, method=None, how=None, normalize=False,
         Notes
         -----
         To learn more about the frequency strings, please see `this link
-        <http://pandas.pydata.org/pandas-docs/stable/timeseries.html#offset-aliases>`__.
+        <http://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#offset-aliases>`__.
 
         Examples
         --------

pandas/core/groupby/groupby.py

@@ -219,7 +219,7 @@ class providing the base-class of operations.
 Notes
 -----
 See more `here
-<http://pandas.pydata.org/pandas-docs/stable/groupby.html#piping-function-calls>`_
+<http://pandas.pydata.org/pandas-docs/stable/user_guide/groupby.html#piping-function-calls>`_
 
 Examples
 --------

pandas/core/groupby/grouper.py

@@ -49,7 +49,7 @@ class Grouper:
         This will groupby the specified frequency if the target selection
         (via key or level) is a datetime-like object. For full specification
         of available frequencies, please see `here
-        <http://pandas.pydata.org/pandas-docs/stable/timeseries.html#offset-aliases>`_.
+        <http://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#offset-aliases>`_.
     axis : number/name of the axis, defaults to 0
     sort : boolean, default to False
         whether to sort the resulting labels

pandas/core/indexes/datetimes.py

@@ -215,7 +215,7 @@ class DatetimeIndex(DatetimeIndexOpsMixin, Int64Index, DatetimeDelegateMixin):
     Notes
     -----
     To learn more about the frequency strings, please see `this link
-    <http://pandas.pydata.org/pandas-docs/stable/timeseries.html#offset-aliases>`__.
+    <http://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#offset-aliases>`__.
 
     Creating a DatetimeIndex based on `start`, `periods`, and `end` has
     been deprecated in favor of :func:`date_range`.
@@ -1377,7 +1377,7 @@ def date_range(start=None, end=None, periods=None, freq=None, tz=None,
     ``start`` and ``end`` (closed on both sides).
 
     To learn more about the frequency strings, please see `this link
-    <http://pandas.pydata.org/pandas-docs/stable/timeseries.html#offset-aliases>`__.
+    <http://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#offset-aliases>`__.
 
     Examples
     --------
@@ -1533,7 +1533,7 @@ def bdate_range(start=None, end=None, periods=None, freq='B', tz=None,
     desired.
 
     To learn more about the frequency strings, please see `this link
-    <http://pandas.pydata.org/pandas-docs/stable/timeseries.html#offset-aliases>`__.
+    <http://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#offset-aliases>`__.
 
     Examples
     --------
@@ -1605,7 +1605,7 @@ def cdate_range(start=None, end=None, periods=None, freq='C', tz=None,
     must be specified.
 
     To learn more about the frequency strings, please see `this link
-    <http://pandas.pydata.org/pandas-docs/stable/timeseries.html#offset-aliases>`__.
+    <http://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#offset-aliases>`__.
 
     Returns
     -------

pandas/core/indexes/interval.py

@@ -1215,7 +1215,7 @@ def interval_range(start=None, end=None, periods=None, freq=None,
     ``start`` and ``end``, inclusively.
 
     To learn more about datetime-like frequency strings, please see `this link
-    <http://pandas.pydata.org/pandas-docs/stable/timeseries.html#offset-aliases>`__.
+    <http://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#offset-aliases>`__.
 
     Examples
     --------

pandas/core/indexes/multi.py

@@ -182,7 +182,8 @@ class MultiIndex(Index):
     Notes
     -----
     See the `user guide
-    <http://pandas.pydata.org/pandas-docs/stable/advanced.html>`_ for more.
+    <http://pandas.pydata.org/pandas-docs/stable/user_guide/advanced.html>`_
+    for more.
 
     Examples
     --------

pandas/core/indexes/period.py

@@ -939,7 +939,7 @@ def period_range(start=None, end=None, periods=None, freq=None, name=None):
     must be specified.
 
     To learn more about the frequency strings, please see `this link
-    <http://pandas.pydata.org/pandas-docs/stable/timeseries.html#offset-aliases>`__.
+    <http://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#offset-aliases>`__.
 
     Examples
     --------

pandas/core/indexes/timedeltas.py

@@ -141,7 +141,7 @@ class TimedeltaIndex(DatetimeIndexOpsMixin, dtl.TimelikeOps, Int64Index,
     Notes
     -----
     To learn more about the frequency strings, please see `this link
-    <http://pandas.pydata.org/pandas-docs/stable/timeseries.html#offset-aliases>`__.
+    <http://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#offset-aliases>`__.
 
     Creating a TimedeltaIndex based on `start`, `periods`, and `end` has
     been deprecated in favor of :func:`timedelta_range`.
@@ -730,7 +730,7 @@ def timedelta_range(start=None, end=None, periods=None, freq=None,
     ``start`` and ``end`` (closed on both sides).
 
     To learn more about the frequency strings, please see `this link
-    <http://pandas.pydata.org/pandas-docs/stable/timeseries.html#offset-aliases>`__.
+    <http://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#offset-aliases>`__.
 
     Examples
     --------

pandas/core/indexing.py

@@ -1190,7 +1190,7 @@ def _validate_read_indexer(self, key, indexer, axis, raise_missing=False):
             KeyError in the future, you can use .reindex() as an alternative.
 
             See the documentation here:
-            https://pandas.pydata.org/pandas-docs/stable/indexing.html#deprecate-loc-reindex-listlike""")  # noqa
+            https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#deprecate-loc-reindex-listlike""")  # noqa
 
             if not (ax.is_categorical() or ax.is_interval()):
                 warnings.warn(_missing_key_warning,
@@ -1339,7 +1339,7 @@ class _IXIndexer(_NDFrameIndexer):
         .iloc for positional indexing
 
         See the documentation here:
-        http://pandas.pydata.org/pandas-docs/stable/indexing.html#ix-indexer-is-deprecated""")  # noqa
+        http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#ix-indexer-is-deprecated""")  # noqa
 
     def __init__(self, name, obj):
         warnings.warn(self._ix_deprecation_warning,

pandas/core/reshape/concat.py

@@ -100,7 +100,7 @@ def concat(objs, axis=0, join='outer', join_axes=None, ignore_index=False,
 
     A walkthrough of how this method fits in with other tools for combining
     pandas objects can be found `here
-    <http://pandas.pydata.org/pandas-docs/stable/merging.html>`__.
+    <http://pandas.pydata.org/pandas-docs/stable/user_guide/merging.html>`__.
 
     Examples
     --------

pandas/core/tools/datetimes.py

@@ -533,7 +533,7 @@ def to_datetime(arg, errors='raise', dayfirst=False, yearfirst=False,
     dtype: datetime64[ns]
 
     If a date does not meet the `timestamp limitations
-    <http://pandas.pydata.org/pandas-docs/stable/timeseries.html
+    <http://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html
     #timeseries-timestamp-limits>`_, passing errors='ignore'
     will return the original input instead of raising any exception.
 

pandas/core/window.py

@@ -462,7 +462,7 @@ class Window(_Window):
         See the notes below for further information.
     on : str, optional
         For a DataFrame, column on which to calculate
-        the rolling window, rather than the index
+        the rolling window, rather than the index.
     axis : int or str, default 0
     closed : str, default None
         Make the interval closed on the 'right', 'left', 'both' or
@@ -488,7 +488,7 @@ class Window(_Window):
     changed to the center of the window by setting ``center=True``.
 
     To learn more about the offsets & frequency strings, please see `this link
-    <http://pandas.pydata.org/pandas-docs/stable/timeseries.html#offset-aliases>`__.
+    <http://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#offset-aliases>`__.
 
     The recognized win_types are:
 
@@ -2188,7 +2188,7 @@ class EWM(_Rolling):
     (if adjust is True), and 1-alpha and alpha (if adjust is False).
 
     More details can be found at
-    http://pandas.pydata.org/pandas-docs/stable/computation.html#exponentially-weighted-windows
+    http://pandas.pydata.org/pandas-docs/stable/user_guide/computation.html#exponentially-weighted-windows
 
     Examples
     --------

pandas/io/json/json.py

@@ -330,8 +330,8 @@ def read_json(path_or_buf=None, orient=None, typ='frame', dtype=None,
 
     chunksize : integer, default None
         Return JsonReader object for iteration.
-        See the `line-delimted json docs
-        <http://pandas.pydata.org/pandas-docs/stable/io.html#io-jsonl>`_
+        See the `line-delimited json docs
+        <http://pandas.pydata.org/pandas-docs/stable/user_guide/io.html#line-delimited-json>`_
         for more information on ``chunksize``.
         This can only be passed if `lines=True`.
         If this is None, the file will be read into memory all at once.

pandas/io/parsers.py

@@ -58,7 +58,7 @@
 into chunks.
 
 Additional help can be found in the online docs for
-`IO Tools <http://pandas.pydata.org/pandas-docs/stable/io.html>`_.
+`IO Tools <http://pandas.pydata.org/pandas-docs/stable/user_guide/io.html>`_.
 
 Parameters
 ----------
@@ -753,7 +753,7 @@ def read_fwf(filepath_or_buffer: FilePathOrBuffer,
     into chunks.
 
     Additional help can be found in the `online docs for IO Tools
-    <http://pandas.pydata.org/pandas-docs/stable/io.html>`_.
+    <http://pandas.pydata.org/pandas-docs/stable/user_guide/io.html>`_.
 
     Parameters
     ----------

pandas/io/pytables.py

@@ -867,8 +867,8 @@ def put(self, key, value, format=None, append=False, **kwargs):
             This will force Table format, append the input data to the
             existing.
         data_columns : list of columns to create as data columns, or True to
-            use all columns. See
-            `here <http://pandas.pydata.org/pandas-docs/stable/io.html#query-via-data-columns>`__ # noqa
+            use all columns. See `here
+            <http://pandas.pydata.org/pandas-docs/stable/user_guide/io.html#query-via-data-columns>`__.
         encoding : default None, provide an encoding for strings
         dropna   : boolean, default False, do not write an ALL nan row to
             the store settable by the option 'io.hdf.dropna_table'
@@ -949,7 +949,7 @@ def append(self, key, value, format=None, append=True, columns=None,
             List of columns to create as indexed data columns for on-disk
             queries, or True to use all columns. By default only the axes
             of the object are indexed. See `here
-            <http://pandas.pydata.org/pandas-docs/stable/io.html#query-via-data-columns>`__.
+            <http://pandas.pydata.org/pandas-docs/stable/user_guide/io.html#query-via-data-columns>`__.
         min_itemsize : dict of columns that specify minimum string sizes
         nan_rep      : string to use as string nan represenation
         chunksize    : size to chunk the writing