我有一个名为aus
的数据框,如下所示:
+--------------+-------------+
| | link clicks |
+--------------+-------------+
| created_time | |
| 2015-07-20 | 8600 |
| 2015-07-21 | 11567 |
| 2015-07-22 | 1809 |
| 2015-07-23 | 7032 |
| 2015-07-26 | 23704 |
+--------------+-------------+
我将索引设为DateTimeIndex,如下所示:
aus.index = pd.to_datetime(aus.index)
然后我运行这样的支票:type(aus.index)
,给定的输出为pandas.tseries.index.DatetimeIndex
然后当我尝试将索引重新采样为数周时
aus.index = aus.resample('w', how='sum', axis=1)
我遇到以下错误:
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-310-3268a3f46a19> in <module>()
----> 1 aus.index = aus.resample('w', how='sum', axis=1)
/usr/local/lib/python2.7/site-packages/pandas/core/generic.pyc in resample(self, rule, how, axis, fill_method, closed, label, convention, kind, loffset, limit, base)
3264 fill_method=fill_method, convention=convention,
3265 limit=limit, base=base)
-> 3266 return sampler.resample(self).__finalize__(self)
3267
3268 def first(self, offset):
/usr/local/lib/python2.7/site-packages/pandas/tseries/resample.pyc in resample(self, obj)
100 return self.obj
101 else: # pragma: no cover
--> 102 raise TypeError('Only valid with DatetimeIndex, TimedeltaIndex or PeriodIndex')
103
104 rs_axis = rs._get_axis(self.axis)
TypeError: Only valid with DatetimeIndex, TimedeltaIndex or PeriodIndex
我之前的类型检查说我有正确的索引,但重采样功能并不这么认为。 有什么想法吗?
答案 0 :(得分:3)
axis = 1表示它正在尝试重新采样列(不是DatetimeIndex)。
In [11]: df.columns
Out[11]: Index([u'link clicks'], dtype='object')
In [12]: type(df.columns)
Out[12]: pandas.core.index.Index
使用axis = 0:
In [21]: aus.resample('w', how='sum', axis=0)
Out[21]:
link clicks
created_time
2015-07-26 52712
注意:这是resample的默认值:
In [22]: aus.resample('w', how='sum')
Out[22]:
link clicks
created_time
2015-07-26 52712