@@ -184,14 +184,15 @@ def test_pivot_index_with_nan(self):
184184 def test_pivot_with_tz (self ):
185185 # GH 5878
186186 df = DataFrame ({'dt1' : [datetime .datetime (2013 , 1 , 1 , 9 , 0 ),
187- datetime .datetime (2013 , 1 , 2 , 9 , 0 ),
188- datetime .datetime (2013 , 1 , 1 , 9 , 0 ),
189- datetime .datetime (2013 , 1 , 2 , 9 , 0 )],
190- 'dt2' : [datetime .datetime (2014 , 1 , 1 , 9 , 0 ),
191- datetime .datetime (2014 , 1 , 1 , 9 , 0 ),
192- datetime .datetime (2014 , 1 , 2 , 9 , 0 ),
193- datetime .datetime (2014 , 1 , 2 , 9 , 0 )],
194- 'data1' : range (4 ), 'data2' : range (4 )})
187+ datetime .datetime (2013 , 1 , 2 , 9 , 0 ),
188+ datetime .datetime (2013 , 1 , 1 , 9 , 0 ),
189+ datetime .datetime (2013 , 1 , 2 , 9 , 0 )],
190+ 'dt2' : [datetime .datetime (2014 , 1 , 1 , 9 , 0 ),
191+ datetime .datetime (2014 , 1 , 1 , 9 , 0 ),
192+ datetime .datetime (2014 , 1 , 2 , 9 , 0 ),
193+ datetime .datetime (2014 , 1 , 2 , 9 , 0 )],
194+ 'data1' : np .arange (4 ,dtype = 'int64' ),
195+ 'data2' : np .arange (4 ,dtype = 'int64' )})
195196
196197 df ['dt1' ] = df ['dt1' ].apply (lambda d : pd .Timestamp (d , tz = 'US/Pacific' ))
197198 df ['dt2' ] = df ['dt2' ].apply (lambda d : pd .Timestamp (d , tz = 'Asia/Tokyo' ))
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