我试图获得一段时间序列数据的平均值(超过 24 小时,间隔 30 分钟)。
目前我有:
# Data of interest
START = datetime(2010,2,1,0,0,0)
END = datetime(2010,2,8,23,59,59)
# Function to group by time of day
def minutes(date):
time = date.strftime("%H:%M:%S")
dt = datetime.strptime("2009-04-01 " + time, "%Y-%m-%d %H:%M:%S")
return dt
# Truncate data to desired section
telford = store.get_data("spd_mw").TELR.truncate(START,END)
# Group and average
telford.groupby(minutes).mean()
我试过使用asfreq(datetools.BDay())
,但它会删除半小时的数据。是写我自己的 DateOffset 的情况吗?
有没有更简洁的方法来按分钟对上述数据进行分组?
顺便说一句:截断是否需要是数据中的现有索引?我收到以下错误(在与上述不同的一组数据上):
Traceback (most recent call last):
File "power-weather.py", line 21, in <module>
egph_temp = store.get_data("weather_EGPH").TemperatureC.truncate(START,END)
File "/usr/local/lib/python2.6/dist-packages/pandas-0.7.3-py2.6-linux-x86_64.egg/pandas/core/generic.py", line 702, in truncate
result = self.ix[before:after]
File "/usr/local/lib/python2.6/dist-packages/pandas-0.7.3-py2.6-linux-x86_64.egg/pandas/core/indexing.py", line 35, in __getitem__
return self._getitem_axis(key, axis=0)
File "/usr/local/lib/python2.6/dist-packages/pandas-0.7.3-py2.6-linux-x86_64.egg/pandas/core/indexing.py", line 167, in _getitem_axis
return self._get_slice_axis(key, axis=axis)
File "/usr/local/lib/python2.6/dist-packages/pandas-0.7.3-py2.6-linux-x86_64.egg/pandas/core/indexing.py", line 372, in _get_slice_axis
i, j = labels.slice_locs(start, stop)
File "/usr/local/lib/python2.6/dist-packages/pandas-0.7.3-py2.6-linux-x86_64.egg/pandas/core/index.py", line 842, in slice_locs
beg_slice = self.get_loc(start)
File "/usr/local/lib/python2.6/dist-packages/pandas-0.7.3-py2.6-linux-x86_64.egg/pandas/core/index.py", line 523, in get_loc
return self._engine.get_loc(key)
File "engines.pyx", line 101, in pandas._engines.DictIndexEngine.get_loc (pandas/src/engines.c:2498)
File "engines.pyx", line 108, in pandas._engines.DictIndexEngine.get_loc (pandas/src/engines.c:2460)
KeyError: datetime.datetime(2010, 2, 1, 0, 0)