根据列值过滤多索引数据框，删除级别内的所有行

Question

我正在尝试根据一个或多个值过滤 DataFrame。这是一个 CSV 示例：

AlignmentId,TranscriptId,classifier,value
ENSMUST00000025010-1,ENSMUST00000025010,AlnCoverage,0.99612
ENSMUST00000025010-1,ENSMUST00000025010,AlnIdentity,0.93553
ENSMUST00000025010-1,ENSMUST00000025010,Badness,0.06749
ENSMUST00000025014-1,ENSMUST00000025014,AlnCoverage,1.0
ENSMUST00000025014-1,ENSMUST00000025014,AlnIdentity,0.96382
ENSMUST00000025014-1,ENSMUST00000025014,Badness,0.03618

加载时：

>>> df = pd.read_csv('tmp.csv', index_col=['AlignmentId', 'TranscriptId'])
>>> df
                                          classifier    value
AlignmentId          TranscriptId
ENSMUST00000025010-1 ENSMUST00000025010  AlnCoverage  0.99612
                     ENSMUST00000025010  AlnIdentity  0.93553
                     ENSMUST00000025010      Badness  0.06749
ENSMUST00000025014-1 ENSMUST00000025014  AlnCoverage  1.00000
                     ENSMUST00000025014  AlnIdentity  0.96382
                     ENSMUST00000025014      Badness  0.03618

我想删除每个 AlignmentId 组未能通过一系列 classifiers。对于这个例子，假设我想删除 ENSMUST00000025010 因为 AlnCoverage < 1.0。因此，我想以这个数据框结束：

ENSMUST00000025014-1 ENSMUST00000025014  AlnCoverage  1.00000
                     ENSMUST00000025014  AlnIdentity  0.96382
                     ENSMUST00000025014      Badness  0.03618

我该怎么做？

Answer 1

试试这个：

In [169]: df = df.drop(df[(df.classifier=='AlnCoverage') & (df.value < 1)].index)

In [170]: df
Out[170]:
                                          classifier    value
AlignmentId          TranscriptId
ENSMUST00000025014-1 ENSMUST00000025014  AlnCoverage  1.00000
                     ENSMUST00000025014  AlnIdentity  0.96382
                     ENSMUST00000025014      Badness  0.03618

根据列值过滤多索引数据框，删除级别内的所有行

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