这是我的question的后续行动。与透视表不同,是否可以将表展平,使其如下所示:

data = {'year': ['2016', '2016', '2015', '2014', '2013'],
    'country':['uk', 'usa', 'fr','fr','uk'],
    'sales': [10, 21, 20, 10,12],
    'rep': ['john', 'john', 'claire', 'kyle','kyle']
    }

pd.DataFrame(data).pivot_table(index='country', columns='year', values=['rep','sales'])

          rep                       sales
year     2013  2014    2015  2016   2013  2014  2015  2016
country
fr       None  kyle  claire  None   None    10    20  None
uk       kyle  None    None  john    12  None  None    10
usa      None  None    None  john   None  None  None    21

展平的桌子:
        rep_2013 rep_2014 rep_2015 rep_2016  sales_2013  sales_2014  sales_2015  sales_2016
country
fr       None    kyle     claire    None      None        10            20          None
uk       kyle    None     None      john      12          None          None         10
usa      None    None     None      john      None        None          None         21

最佳答案

collapse a pandas MultiIndex
解决方案

df.columns = df.columns.to_series().str.join('_')

关于python - 展平 Pandas 数据透视表,我们在Stack Overflow上找到一个类似的问题:https://stackoverflow.com/questions/39273441/

10-12 18:02