Question

这个带有dict aggfunc的pivot_table示例没有问题：

df=pandas.DataFrame([
    {'JOB':'Worker','NAME':'Bob' ,'YEAR':2013,'MONTH':12,'DAYS': 3,'SALARY': 17},
    {'JOB':'Employ','NAME':'Mary','YEAR':2013,'MONTH':12,'DAYS': 5,'SALARY': 23},
    {'JOB':'Worker','NAME':'Bob' ,'YEAR':2014,'MONTH': 1,'DAYS':10,'SALARY':100},
    {'JOB':'Worker','NAME':'Bob' ,'YEAR':2014,'MONTH': 1,'DAYS':11,'SALARY':110},
    {'JOB':'Employ','NAME':'Mary','YEAR':2014,'MONTH': 1,'DAYS':15,'SALARY':200},
    {'JOB':'Worker','NAME':'Bob' ,'YEAR':2014,'MONTH': 2,'DAYS': 8,'SALARY': 80},
    {'JOB':'Employ','NAME':'Mary','YEAR':2014,'MONTH': 2,'DAYS': 5,'SALARY':190}
    ])

df=df.set_index(['JOB','NAME','YEAR','MONTH'],drop=False,append=False)

df=df.pivot_table(index=['JOB','NAME'],columns=['YEAR','MONTH'],values=['DAYS','SALARY'],aggfunc={'DAYS':'mean','SALARY':'sum'})

但使用边距熊猫会引发一个关键错误：

df=df.pivot_table(index=['JOB','NAME'],columns=['YEAR','MONTH'],values=['DAYS','SALARY'],aggfunc={'DAYS':'mean','SALARY':'sum'},margins=True)

File "/usr/local/lib/python2.7/site-packages/pandas-0.14.1-py2.7-linux-x86_64.egg/pandas/util/decorators.py", line 60, in wrapper
return func(*args, **kwargs)
File "/usr/local/lib/python2.7/site-packages/pandas-0.14.1-py2.7-linux-x86_64.egg/pandas/util/decorators.py", line 60, in wrapper
return func(*args, **kwargs)
File "/usr/local/lib/python2.7/site-packages/pandas-0.14.1-py2.7-linux-x86_64.egg/pandas/tools/pivot.py", line 147, in pivot_table
cols=columns, aggfunc=aggfunc)
File "/usr/local/lib/python2.7/site-packages/pandas-0.14.1-py2.7-linux-x86_64.egg/pandas/tools/pivot.py", line 191, in _add_margins
row_margin[k] = grand_margin[k[0]]

KeyError: 'SALARY'

这是一个错误吗？

谢谢

Answer 1

这是一个固定的错误：基于http://pandas.pydata.org/pandas-docs/stable/release.html：

已在pivot_table中修复（GH3334）。如果值是索引，则边距不会计算。

使用dict aggfunc的pivot_table上的Pandas错误？

1 个答案: