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2012-08-06T10:16:10.880
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<p>For you convenience i copied <code>pandas.lib._string_to_dts</code> function code below. Based on your traceback, this is the one throwing the exception.</p> <pre><code>cdef inline _string_to_dts(object val, pandas_datetimestruct* dts): cdef: npy_bool islocal, special PANDAS_DATETIMEUNIT out_bestunit int result if PyUnicode_Check(val): val = PyUnicode_AsASCIIString(val); result = parse_iso_8601_datetime(val, len(val), PANDAS_FR_ns, NPY_UNSAFE_CASTING, dts, &islocal, &out_bestunit, &special) if result == -1: raise ValueError('Unable to parse %s' % str(val)) </code></pre> <p>To me it looks like you provide input to <code>pandas.date_range</code> which can not be parsed to a date and your code in <code>process_csv</code> throws a <code>ValueError</code> exception like in the example below.</p> <pre><code>>>> import pandas >>> pandas.date_range('hello') Traceback (most recent call last): File "<stdin>", line 1, in <module> File ".../lib/python2.7/site-packages/pandas-0.8.2.dev_90842ba-py2.7-linux-x86_64.egg/pandas/tseries/index.py", line 1317, in date_range freq=freq, tz=tz, normalize=normalize, name=name) File "../lib/python2.7/site-packages/pandas-0.8.2.dev_90842ba-py2.7-linux-x86_64.egg/pandas/tseries/index.py", line 176, in __new__ tz=tz, normalize=normalize) File ".../lib/python2.7/site-packages/pandas-0.8.2.dev_90842ba-py2.7-linux-x86_64.egg/pandas/tseries/index.py", line 254, in _generate start = Timestamp(start) File "datetime.pyx", line 87, in pandas.lib.Timestamp.__new__ (pandas/src/tseries.c:26892) File "datetime.pyx", line 511, in pandas.lib.convert_to_tsobject (pandas/src/tseries.c:32019) File "datetime.pyx", line 640, in pandas.lib._string_to_dts (pandas/src/tseries.c:33452) ValueError: Unable to parse hello </code></pre>
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