Merge pull request #7917 from jorisvandenbossche/docs-categorical-fixes

DOC: small fixes categorical docs

Author: jreback

doc/source/basics.rst

@@ -1574,8 +1574,8 @@ dtypes:
                    'float64': np.arange(4.0, 7.0),
                    'bool1': [True, False, True],
                    'bool2': [False, True, False],
-                   'dates': pd.date_range('now', periods=3).values}),
-                   'category': pd.Categorical(list("ABC))
+                   'dates': pd.date_range('now', periods=3).values,
+                   'category': pd.Categorical(list("ABC"))})
    df['tdeltas'] = df.dates.diff()
    df['uint64'] = np.arange(3, 6).astype('u8')
    df['other_dates'] = pd.date_range('20130101', periods=3).values

doc/source/categorical.rst

@@ -228,11 +228,11 @@ Appending levels can be done by assigning a levels list longer than the current
     Adding levels in other positions can be done with ``.reorder_levels(<levels_including_new>)``.
 
 Removing a level is also possible, but only the last level(s) can be removed by assigning a
-shorter list than current levels. Values which are omitted are replaced by `np.nan`.
+shorter list than current levels. Values which are omitted are replaced by ``np.nan``.
 
 .. ipython:: python
 
-    s.levels = [1,2]
+    s.cat.levels = [1,2]
     s
 
 .. note::
@@ -322,7 +322,7 @@ old levels:
 .. ipython:: python
 
     s3 = pd.Series(pd.Categorical(["a","b","d"]))
-    s3.cat.reorder_levels(["a","b","c",d"])
+    s3.cat.reorder_levels(["a","b","c","d"])
     s3