考虑 DatetimeIndex
tidx
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
属性采用 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
让我的索引假设它是 inferred_freq 的适当方法是什么?
最佳答案
目前还不清楚为什么文档声明您可以设置 freq
属性,但它不会持续存在,但如果您再次重建 datetimeindex
但传递一个 freq
param 然后它起作用:
In [56]:
tidx = pd.DatetimeIndex(tidx.values, freq = tidx.inferred_freq)
tidx
Out[56]:
DatetimeIndex(['2016-07-29', '2016-08-31', '2016-09-30'], dtype='datetime64[ns]', freq='BM')
关于python - 使用 inferred_freq 设置 pandas.tseries.index.DatetimeIndex.freq,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/40222583/