DOC: Change versionadded: to versionadded::

Author: Scorpil

pandas/core/frame.py

@@ -4513,7 +4513,7 @@ def unstack(self, level=-1, fill_value=None):
         fill_value : replace NaN with this value if the unstack produces
             missing values
 
-            .. versionadded: 0.18.0
+            .. versionadded:: 0.18.0
 
         See also
         --------
@@ -4676,7 +4676,7 @@ def diff(self, periods=1, axis=0):
         axis : {0 or 'index', 1 or 'columns'}, default 0
             Take difference over rows (0) or columns (1).
 
-            .. versionadded: 0.16.1
+            .. versionadded:: 0.16.1
 
         Returns
         -------

pandas/core/generic.py

@@ -965,7 +965,7 @@ def _set_axis_name(self, name, axis=0, inplace=False):
         inplace : bool
             whether to modify `self` directly or return a copy
 
-            .. versionadded: 0.21.0
+            .. versionadded:: 0.21.0
 
         Returns
         -------

pandas/core/series.py

@@ -1626,7 +1626,7 @@ def append(self, to_append, ignore_index=False, verify_integrity=False):
         ignore_index : boolean, default False
             If True, do not use the index labels.
 
-            .. versionadded: 0.19.0
+            .. versionadded:: 0.19.0
 
         verify_integrity : boolean, default False
             If True, raise Exception on creating index with duplicates
@@ -2213,7 +2213,7 @@ def unstack(self, level=-1, fill_value=None):
         fill_value : replace NaN with this value if the unstack produces
             missing values
 
-            .. versionadded: 0.18.0
+            .. versionadded:: 0.18.0
 
         Examples
         --------

pandas/core/strings.py

@@ -19,6 +19,7 @@
 from pandas.core.base import NoNewAttributesMixin
 from pandas.util._decorators import Appender
 import re
+import itertools
 import pandas._libs.lib as lib
 import warnings
 import textwrap
@@ -837,23 +838,12 @@ def str_get_dummies(arr, sep='|'):
     --------
     pandas.get_dummies
     """
-    arr = arr.fillna('')
-    try:
-        arr = sep + arr + sep
-    except TypeError:
-        arr = sep + arr.astype(str) + sep
-
-    tags = set()
-    for ts in arr.str.split(sep):
-        tags.update(ts)
-    tags = sorted(tags - set([""]))
 
-    dummies = np.empty((len(arr), len(tags)), dtype=np.int64)
-
-    for i, t in enumerate(tags):
-        pat = sep + t + sep
-        dummies[:, i] = lib.map_infer(arr.values, lambda x: pat in x)
-    return dummies, tags
+    arr = [list() if el is np.nan else str(el).split(sep) for el in arr]
+    tags = sorted(set(itertools.chain.from_iterable(arr)))
+    result = np.array([[t in x for t in tags] for x in arr])
+    import pdb; pdb.set_trace()
+    return result, tags
 
 
 def str_join(arr, sep):
@@ -1411,7 +1401,6 @@ def _wrap_result(self, result, use_codes=True,
         if expand is None:
             # infer from ndim if expand is not specified
             expand = False if result.ndim == 1 else True
-
         elif expand is True and not isinstance(self._orig, Index):
             # required when expand=True is explicitly specified
             # not needed when infered
@@ -1446,8 +1435,7 @@ def cons_row(x):
                 return result
 
             if expand:
-                result = list(result)
-                out = MultiIndex.from_tuples(result, names=name)
+                out = MultiIndex.from_arrays(np.transpose(result), names=name)
                 if out.nlevels == 1:
                     # We had all tuples of length-one, which are
                     # better represented as a regular Index.
@@ -1686,11 +1674,11 @@ def wrap(self, width, **kwargs):
         return self._wrap_result(result)
 
     @copy(str_get_dummies)
-    def get_dummies(self, sep='|'):
+    def get_dummies(self, sep='|', dtype=None):
         # we need to cast to Series of strings as only that has all
         # methods available for making the dummies...
         data = self._orig.astype(str) if self._is_categorical else self._data
-        result, name = str_get_dummies(data, sep)
+        result, name = str_get_dummies(data, sep, dtype)
         return self._wrap_result(result, use_codes=(not self._is_categorical),
                                  name=name, expand=True)
 

pandas/core/tools/datetimes.py

@@ -114,7 +114,7 @@ def to_datetime(arg, errors='raise', dayfirst=False, yearfirst=False,
     ----------
     arg : integer, float, string, datetime, list, tuple, 1-d array, Series
 
-        .. versionadded: 0.18.1
+        .. versionadded:: 0.18.1
 
            or DataFrame/dict-like
 
@@ -140,7 +140,7 @@ def to_datetime(arg, errors='raise', dayfirst=False, yearfirst=False,
         Warning: yearfirst=True is not strict, but will prefer to parse
         with year first (this is a known bug, based on dateutil beahavior).
 
-        .. versionadded: 0.16.1
+        .. versionadded:: 0.16.1
 
     utc : boolean, default None
         Return UTC DatetimeIndex if True (converting any tz-aware
@@ -178,13 +178,13 @@ def to_datetime(arg, errors='raise', dayfirst=False, yearfirst=False,
         - If Timestamp convertible, origin is set to Timestamp identified by
           origin.
 
-        .. versionadded: 0.20.0
+        .. versionadded:: 0.20.0
     cache : boolean, default False
         If True, use a cache of unique, converted dates to apply the datetime
         conversion. May produce sigificant speed-up when parsing duplicate date
         strings, especially ones with timezone offsets.
 
-        .. versionadded: 0.22.0
+        .. versionadded:: 0.22.0
 
     Returns
     -------

pandas/tseries/offsets.py

@@ -775,7 +775,7 @@ class BusinessHour(BusinessHourMixin, SingleConstructorOffset):
     """
     DateOffset subclass representing possibly n business days
 
-    .. versionadded: 0.16.1
+    .. versionadded:: 0.16.1
 
     """
     _prefix = 'BH'
@@ -879,7 +879,7 @@ class CustomBusinessHour(BusinessHourMixin, SingleConstructorOffset):
     """
     DateOffset subclass representing possibly n custom business days
 
-    .. versionadded: 0.18.1
+    .. versionadded:: 0.18.1
 
     """
     _prefix = 'CBH'