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Hard to reprod.
Select from a duplicate indexed axis in a frame with ix where part of the selection set is missing
In [22]: df = DataFrame(np.random.randn(5,5),columns=['A.1','B.1','B.2','B.3','A.2'],index=date_range('20130101',periods=5)) In [23]: df2 = df.rename(columns=lambda x: x.split('.')[0]) In [24]: df2 Out[24]: A B B B A 2013-01-01 -1.029245 -0.782139 0.584956 1.097301 -0.150675 2013-01-02 -0.723246 -0.356150 -0.441952 0.027012 -1.851583 2013-01-03 -1.001412 0.129464 0.093433 0.952615 -1.338390 2013-01-04 0.165987 0.227918 0.557940 -0.102501 -1.194053 2013-01-05 0.249493 -1.102096 -0.977755 -0.529540 0.783277 [5 rows x 5 columns] In [25]: df2.ix[:,['A','B','C']] AssertionError: Number of manager items must equal union of block items # manager items: 6, # tot_items: 14
The text was updated successfully, but these errors were encountered:
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Hard to reprod.
Select from a duplicate indexed axis in a frame with ix where part of the
selection set is missing
The text was updated successfully, but these errors were encountered: