考虑使用“DatetimeIndex”、“tidx”等相关技术来解决问题。
我希望
tidx = pd.to_datetime(['2016-07-29', '2016-08-31', '2016-09-30'])
print(tidx.freq)
print(tidx.inferred_freq)
print(tidx)
None
BM
DatetimeIndex(['2016-07-29', '2016-08-31', '2016-09-30'], \
dtype='datetime64[ns]', freq=None)
我希望
freq
属性可以假设inferred_freq
属性...所以我...tidx.freq = tidx.inferred_freq
print(tidx)
--------------------------------------------------------------------------- AttributeError Traceback (most recent call last) <ipython-input-24-b49b104fda04> in <module>()
1 tidx.freq = tidx.inferred_freq
----> 2 print(tidx)
C:\Users\ssmith\AppData\Local\Continuum\Anaconda2\lib\site-packages\pandas\core\base.pyc in __str__(self)
45 if compat.PY3:
46 return self.__unicode__()
---> 47 return self.__bytes__()
48
49 def __bytes__(self):
C:\Users\ssmith\AppData\Local\Continuum\Anaconda2\lib\site-packages\pandas\core\base.pyc in __bytes__(self)
57
58 encoding = get_option("display.encoding")
---> 59 return self.__unicode__().encode(encoding, 'replace')
60
61 def __repr__(self):
C:\Users\ssmith\AppData\Local\Continuum\Anaconda2\lib\site-packages\pandas\indexes\base.pyc in __unicode__(self)
581 klass = self.__class__.__name__
582 data = self._format_data()
--> 583 attrs = self._format_attrs()
584 space = self._format_space()
585
C:\Users\ssmith\AppData\Local\Continuum\Anaconda2\lib\site-packages\pandas\tseries\base.pyc in _format_attrs(self)
485 for attrib in self._attributes:
486 if attrib == 'freq':
--> 487 freq = self.freqstr
488 if freq is not None:
489 freq = "'%s'" % freq
C:\Users\ssmith\AppData\Local\Continuum\Anaconda2\lib\site-packages\pandas\tseries\base.pyc in freqstr(self)
223 if self.freq is None:
224 return None
--> 225 return self.freq.freqstr
226
227 @cache_readonly
AttributeError: 'str' object has no attribute 'freqstr'
问题
如何使我的索引假定它的“inferred_freq”是适当的?
tidx = pd.DatetimeIndex(tidx.values, freq = tidx.inferred_freq)
这个方法可以起作用,这有点奇怪和绕弯的方式来实现这个。 - EdChum