DOC: improve get_dummies dtype documentation

Author: Scorpil

doc/source/whatsnew/v0.22.0.txt

@@ -24,7 +24,17 @@ Other Enhancements
 
 - Better support for :func:`Dataframe.style.to_excel` output with the ``xlsxwriter`` engine. (:issue:`16149`)
 - :func:`pandas.tseries.frequencies.to_offset` now accepts leading '+' signs e.g. '+1h'. (:issue:`18171`)
--
+- :func:`pandas.get_dummies` now supports ``dtype`` argument, which forces specific dtype for new columns. (:issue:`18330`)
+
+.. code-block:: ipython
+
+   In [1]: df = pd.DataFrame({'a': [1, 2], 'b': [3, 4], 'c': [5, 6]})
+   In [2]: pd.get_dummies(df, columns=['c'], dtype=bool)
+
+   Out[1]:
+      a  b    c_5    c_6
+   0  1  3   True  False
+   1  2  4  False   True
 
 .. _whatsnew_0220.api_breaking:
 
@@ -140,7 +150,7 @@ Sparse
 Reshaping
 ^^^^^^^^^
 
-- :func:`get_dummies` now supports ``dtype`` argument
+-
 -
 -
 

pandas/core/reshape/reshape.py

@@ -725,10 +725,14 @@ def get_dummies(data, prefix=None, prefix_sep='_', dummy_na=False,
     drop_first : bool, default False
         Whether to get k-1 dummies out of k categorical levels by removing the
         first level.
+
+        .. versionadded:: 0.18.0
+
     dtype : dtype, default np.uint8
         Data type to force on a new columns. Only a single dtype is allowed.
 
-        .. versionadded:: 0.18.0
+        .. versionadded:: 0.22.0
+
     Returns
     -------
     dummies : DataFrame or SparseDataFrame