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36 31 31 A: A simpler way to do this would be to use str.join: pd.DataFrame({'A':[['a','b','c'],['d','e','f'],['g','h','i']], 'B':[[1,2,3],[4,5,6],[7,8,9]], 'C':[[10,11,12],[13,14,15],[16,17,18]] })[['A', 'B', 'C']] .apply(lambda x: ','.join(x[['A','B']].dropna(how='all').values.tolist()), axis=1) .drop(['A','B','C'], axis=1) giving: C 0 [10, 11, 12] 1 [13, 14, 15], [16, 17, 18] As pointed out in the comments below, you can also use applymap instead of apply, which might be a little less readable, but is basically equivalent. ![](indmedgaz72287-0017){#sp1.449} ![](indmedgaz72287-0018){#sp2.450} ![](indmedgaz72287-0019){#sp3.451} ![](indmedgaz72287-0020){#sp4.452} ![](indmedgaz72287-0021){#sp5.453} Phase II study of irinotecan and weekly temozolomide in patients with recurrent anaplastic astrocytoma. The alkylating agent temozolomide has shown promising results in recurrent anaplastic astrocytomas (AA), but its use is hampered by



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