如何在第二级以下的多索引数据框中删除第一列，排除一些列

您可以在中指定Index.isin用于删除的值：

arrays = [['bar', 'bar', 'baz', 'baz', 'foo', 'foo', 'qux', 'qux'],
          ['YTD2017', 'two', 'YTD2017', 'two', 'YTD2017', 'two', 'YTD2017', 'two']]
tuples = list(zip(*arrays))
mux = pd.MultiIndex.from_tuples(tuples, names=['first', 'second'])

df = pd.DataFrame(index=[0], columns=mux)
print (df)
first      bar          baz          foo          qux     
second YTD2017  two YTD2017  two YTD2017  two YTD2017  two
0          NaN  NaN     NaN  NaN     NaN  NaN     NaN  NaN

df = (df.loc[:, ~df.columns.get_level_values(0).isin(['foo','qux']) | 
                (df.columns.get_level_values(1) != 'YTD2017')])
print (df)

first      bar          baz       foo  qux
second YTD2017  two YTD2017  two  two  two
0          NaN  NaN     NaN  NaN  NaN  NaN

或为以下两个级别创建元组值DataFrame.drop：

df = df.drop([('foo','YTD2017'), ('qux','YTD2017')], axis=1)