In [3]: dates = pd.date_range('01-Jan-2015', '01-Jan-2016', freq='MS')
...: s = pd.TimeSeries(1, dates)
...: pd.infer_freq(s)
...:
Traceback (most recent call last):
File "<ipython-input-3-a7de7a7e9245>", line 3, in <module>
pd.infer_freq(s)
File "C:\dev\bin\Anaconda\lib\site-packages\pandas\tseries\frequencies.py", line 656, in infer_freq
inferer = _FrequencyInferer(index, warn=warn)
File "C:\dev\bin\Anaconda\lib\site-packages\pandas\tseries\frequencies.py", line 680, in __init__
self.is_monotonic = self.index.is_monotonic
File "C:\dev\bin\Anaconda\lib\site-packages\pandas\core\generic.py", line 1815, in __getattr__
(type(self).__name__, name))
AttributeError: 'Series' object has no attribute 'is_monotonic'
In [4]: pd.__version__
Out[4]: '0.13.1'
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