@@ -184,14 +184,15 @@ def test_pivot_index_with_nan(self):
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def test_pivot_with_tz (self ):
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# GH 5878
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df = DataFrame ({'dt1' : [datetime .datetime (2013 , 1 , 1 , 9 , 0 ),
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- datetime .datetime (2013 , 1 , 2 , 9 , 0 ),
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- datetime .datetime (2013 , 1 , 1 , 9 , 0 ),
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- datetime .datetime (2013 , 1 , 2 , 9 , 0 )],
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- 'dt2' : [datetime .datetime (2014 , 1 , 1 , 9 , 0 ),
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- datetime .datetime (2014 , 1 , 1 , 9 , 0 ),
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- datetime .datetime (2014 , 1 , 2 , 9 , 0 ),
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- datetime .datetime (2014 , 1 , 2 , 9 , 0 )],
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- 'data1' : range (4 ), 'data2' : range (4 )})
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+ datetime .datetime (2013 , 1 , 2 , 9 , 0 ),
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+ datetime .datetime (2013 , 1 , 1 , 9 , 0 ),
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+ datetime .datetime (2013 , 1 , 2 , 9 , 0 )],
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+ 'dt2' : [datetime .datetime (2014 , 1 , 1 , 9 , 0 ),
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+ datetime .datetime (2014 , 1 , 1 , 9 , 0 ),
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+ datetime .datetime (2014 , 1 , 2 , 9 , 0 ),
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+ datetime .datetime (2014 , 1 , 2 , 9 , 0 )],
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+ 'data1' : np .arange (4 ,dtype = 'int64' ),
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+ 'data2' : np .arange (4 ,dtype = 'int64' )})
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df ['dt1' ] = df ['dt1' ].apply (lambda d : pd .Timestamp (d , tz = 'US/Pacific' ))
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df ['dt2' ] = df ['dt2' ].apply (lambda d : pd .Timestamp (d , tz = 'Asia/Tokyo' ))
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