pandas.DataFrame选取/排除特定行的方法

>>> df = pd.Data ([['GD', 'GX', 'FJ'], ['SD', 'SX', 'BJ'], ['HN', 'HB', 'AH'], ['HEN', 'HEN', 'HLJ'], ['SH', 'TJ', 'CQ']], columns=['p1', 'p2', 'p3'])
>>> df
  p1  p2  p3
0  GD  GX  FJ
1  SD  SX  BJ
2  HN  HB  AH
3 HEN HEN HLJ
4  SH  TJ  CQ
# 筛选p1列中值为'SD'和'HN'的行：
>>> df[df.p1.isin(['SD','HN'])]
  p1 p2 p3
1 SD SX BJ
2 HN HB AH

# 将p1转换为列表，再从列表中移除特定的行：
>>> ex_list = list(df.p1)
>>> ex_list.remove('SD')
>>> ex_list.remove('HN')
>>> df[df.p1.isin(ex_list)]
  p1  p2  p3
0  GD  GX  FJ
3 HEN HEN HLJ
4  SH  TJ  CQ