Improved performance of :meth:DataFrame.to_csv when write datetime dtype data (pandas-dev#25765)

Author: ryanreh99

asv_bench/benchmarks/io/csv.py

@@ -51,6 +51,9 @@ def time_frame_date_formatting(self):
 
 
 <<<<<<< HEAD
+<<<<<<< HEAD
+=======
+>>>>>>> f53bb0619... Improved performance of :meth:DataFrame.to_csv when write datetime dtype data (#25765)
 class ToCSVDatetimeBig(BaseIO):
 
     fname = '__test__.csv'
@@ -69,8 +72,11 @@ def time_frame(self, obs):
         self.data.to_csv(self.fname)
 
 
+<<<<<<< HEAD
 =======
 >>>>>>> c18c8be77... CLN: remove unneeded inheritance from base object (#26128)
+=======
+>>>>>>> f53bb0619... Improved performance of :meth:DataFrame.to_csv when write datetime dtype data (#25765)
 class StringIORewind:
 
     def data(self, stringio_object):

doc/source/whatsnew/v0.25.0.rst

@@ -243,9 +243,13 @@ Performance Improvements
 - Improved performance of :meth:`pandas.core.groupby.GroupBy.quantile` (:issue:`20405`)
 - Improved performance of :meth:`read_csv` by faster tokenizing and faster parsing of small float numbers (:issue:`25784`)
 - Improved performance of :meth:`read_csv` by faster parsing of N/A and boolean values (:issue:`25804`)
+<<<<<<< HEAD
 - Imporved performance of :meth:`IntervalIndex.is_monotonic`, :meth:`IntervalIndex.is_monotonic_increasing` and :meth:`IntervalIndex.is_monotonic_decreasing` by removing conversion to :class:`MultiIndex` (:issue:`24813`)
 - Improved performance of :meth:`DataFrame.to_csv` when writing datetime dtypes (:issue:`25708`)
 - Improved performance of :meth:`read_csv` by much faster parsing of ``MM/YYYY`` and ``DD/MM/YYYY`` datetime formats (:issue:`25922`)
+=======
+- Improved performance of :meth:DataFrame.`to_csv` when write datetime dtype data (:issue:`25708`)
+>>>>>>> f53bb0619... Improved performance of :meth:DataFrame.to_csv when write datetime dtype data (#25765)
 
 .. _whatsnew_0250.bug_fixes: