按行切片Pandas DataFrame

In [36]: dfOut[36]:   A  B  C  Da  0  2  6  0b  6  1  5  2c  0  2  6  0d  9  3  2  2In [37]: rowsOut[37]: ['a', 'c']In [38]: df.drop(rows)Out[38]:   A  B  C  Db  6  1  5  2d  9  3  2  2In [39]: df[~((df.A == 0) & (df.B == 2) & (df.C == 6) & (df.D == 0))]Out[39]:   A  B  C  Db  6  1  5  2d  9  3  2  2In [40]: df.ix[rows]Out[40]:   A  B  C  Da  0  2  6  0c  0  2  6  0In [41]: df[((df.A == 0) & (df.B == 2) & (df.C == 6) & (df.D == 0))]Out[41]:   A  B  C  Da  0  2  6  0c  0  2  6  0