Documentation: typo fixes in MultiIndex / Advanced Indexing (#22179)

Author: adamjstewart

doc/source/advanced.rst

@@ -21,7 +21,7 @@ See the :ref:`Indexing and Selecting Data <indexing>` for general indexing docum
 
 .. warning::
 
- Whether a copy or a reference is returned for a setting operation, may
+ Whether a copy or a reference is returned for a setting operation may
  depend on the context. This is sometimes called ``chained assignment`` and
  should be avoided. See :ref:`Returning a View versus Copy
  <indexing.view_versus_copy>`.
@@ -172,7 +172,7 @@ Defined Levels
 ~~~~~~~~~~~~~~
 
 The repr of a ``MultiIndex`` shows all the defined levels of an index, even
-if the they are not actually used. When slicing an index, you may notice this.
+if they are not actually used. When slicing an index, you may notice this.
 For example:
 
 .. ipython:: python
@@ -379,7 +379,7 @@ slicers on a single axis.
 
  dfmi.loc(axis=0)[:, :, ['C1', 'C3']]
 
-Furthermore you can *set* the values using the following methods.
+Furthermore, you can *set* the values using the following methods.
 
 .. ipython:: python
 
@@ -559,7 +559,7 @@ return a copy of the data rather than a view:
 
 .. _advanced.unsorted:
 
-Furthermore if you try to index something that is not fully lexsorted, this can raise:
+Furthermore, if you try to index something that is not fully lexsorted, this can raise:
 
 .. code-block:: ipython
 
@@ -659,7 +659,7 @@ Index Types
 
 We have discussed ``MultiIndex`` in the previous sections pretty extensively. ``DatetimeIndex`` and ``PeriodIndex``
 are shown :ref:`here <timeseries.overview>`, and information about
-`TimedeltaIndex`` is found :ref:`here <timedeltas.timedeltas>`.
+``TimedeltaIndex`` is found :ref:`here <timedeltas.timedeltas>`.
 
 In the following sub-sections we will highlight some other index types.
 
@@ -835,8 +835,8 @@ In non-float indexes, slicing using floats will raise a ``TypeError``.
 
 
 Here is a typical use-case for using this type of indexing. Imagine that you have a somewhat
-irregular timedelta-like indexing scheme, but the data is recorded as floats. This could for
-example be millisecond offsets.
+irregular timedelta-like indexing scheme, but the data is recorded as floats. This could, for
+example, be millisecond offsets.
 
 .. ipython:: python