Hello,
I have posted previously about dates prior to 1900 but this seems to be a
seperate issue. The error message is definitley different.
I can not seem to convert a timseseries from one frequency ('D') to another
('H') when i use dates prior to 1970 as shown below. This works fine when I
use a date after 1970. Is this something that can be easily fixed or work
around that I can use? Thanks
In [1]: import datetime
In [2]: import numpy as np
In [3]: import scikits.timeseries as ts
In [4]: from scikits.timeseries.lib.interpolate import interp_masked1d
In [5]:
In [6]: dta = np.linspace(1.0, 5.0,5)
In [7]: msk = [1,0,1,0,0]
In [8]: dta_maskd = np.ma.masked_array(dta,msk)
In [9]: yr = 1969
In [10]: dtes = [datetime.datetime(yr, 1, 1),
....: datetime.datetime(yr, 1, 2),
....: datetime.datetime(yr, 1, 3),
....: datetime.datetime(yr, 1, 4),
....: datetime.datetime(yr, 1, 5)]
In [11]: day_ts = ts.time_series(dta_maskd, dtes, freq='D')
In [12]: hour_ts = day_ts.convert('H')
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
C:\Python26\lib\site-packages\scikits\timeseries\tseries.pyc in convert(series,
freq, func, position, *args, **kwargs)
2000
2001 if series.ndim == 1:
-> 2002 obj = _convert1d(series, freq, func, position, *args, **kwargs)
2003 elif series.ndim == 2:
2004 base = _convert1d(series[:, 0], freq, func, position, *args,
**kwargs)
C:\Python26\lib\site-packages\scikits\timeseries\tseries.pyc in _convert1d
(series, freq, func, position, *args, **kwargs)
1910
1911 cdictresult = cseries.TS_convert(data_, from_freq, to_freq,
position,
-> 1912 int(start_date), mask_)
1913 start_date = Date(freq=to_freq, value=cdictresult['startindex'])
1914 data_ = masked_array(cdictresult['values'], mask=cdictresult
['mask'])
ValueError: start_date outside allowable range for destination frequency
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