groupby for pandas系列不起作用 [英] groupby for pandas Series not working

问题描述

我无法对熊猫系列对象进行分组. DataFrames很好，但是我似乎无法通过Series进行groupby.有人能使它正常工作吗?

I am unable to do a groupby on a pandas Series object. DataFrames are fine, but I cannot seem to do groupby with a Series. Has anyone been able to get this to work?

>>> import pandas as pd
>>> a = pd.Series([1,2,3,4], index=[4,3,2,1])
>>> a
4    1
3    2
2    3
1    4
dtype: int64
>>> a.groupby()
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/share/apps/install/anaconda/lib/python2.7/site-packages/pandas/core/generic.py", line 153, in groupby
    sort=sort, group_keys=group_keys)
  File "/share/apps/install/anaconda/lib/python2.7/site-packages/pandas/core/groupby.py", line 537, in groupby
    return klass(obj, by, **kwds)
  File "/share/apps/install/anaconda/lib/python2.7/site-packages/pandas/core/groupby.py", line 195, in __init__
    level=level, sort=sort)
  File "/share/apps/install/anaconda/lib/python2.7/site-packages/pandas/core/groupby.py", line 1326, in _get_grouper
    ping = Grouping(group_axis, gpr, name=name, level=level, sort=sort)
  File "/share/apps/install/anaconda/lib/python2.7/site-packages/pandas/core/groupby.py", line 1203, in __init__
    self.grouper = self.index.map(self.grouper)
  File "/share/apps/install/anaconda/lib/python2.7/site-packages/pandas/core/index.py", line 878, in map
    return self._arrmap(self.values, mapper)
  File "generated.pyx", line 2200, in pandas.algos.arrmap_int64 (pandas/algos.c:61221)
TypeError: 'NoneType' object is not callable

推荐答案

您需要传递某种映射(可能是dict/function/index)

You need to pass a mapping of some kind (could be a dict/function/index)

In [6]: a
Out[6]: 
4    1
3    2
2    3
1    4
dtype: int64

In [7]: a.groupby(a.index).sum()
Out[7]: 
1    4
2    3
3    2
4    1
dtype: int64

In [3]: a.groupby(lambda x: x % 2 == 0).sum()
Out[3]: 
False    6
True     4
dtype: int64

这篇关于groupby for pandas系列不起作用的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！