Date parse error in Python pandas while reading file -

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follow on question to: python pandas reading in file date

i not able parse date on dataframe below. code follows:

df = pandas.read_csv(file_name, skiprows = 2, index_col='datetime',                   parse_dates={'datetime': [0,1,2]}, delim_whitespace=true,                  date_parser=lambda x: pandas.datetime.strptime(x, '%y %m %d')) 
         oth-000.opc               xkn1=    0.500000e-01     y   m   d     prcp     vwc1      2006   1   1      0.0  0.17608e+00  2006   1   2      6.0  0.21377e+00  2006   1   3      0.1  0.22291e+00  2006   1   4      3.0  0.23460e+00  2006   1   5      6.7  0.26076e+00

i error saying: lambda () takes 1 argument (3 given)

based on @edchum's comment below, if use code:

df = pandas.read_csv(file_name, skiprows = 2, index_col='datetime', parse_dates={'datetime': [0,1,2]}, delim_whitespace=true))

df.index results in object , not datetime series

df.index index([u'2006 1 1',u'2006 1 2'....,u'nan nan nan'],dtype='object')

finally file available here:

https://www.dropbox.com/s/0xgk2w4ed9mi4lx/test.txt?dl=0

ok see problem, file had extraneous blank lines @ end, unfortunately messes parser it's looking whitespace, caused df following:

out[25]:              prcp     vwc1 datetime                   2006 1 1      0.0  0.17608 2006 1 2      6.0  0.21377 2006 1 3      0.1  0.22291 2006 1 4      3.0  0.23460 2006 1 5      6.7  0.26076 nan nan nan   nan      nan

when remove blank lines imports , parses dates fine:

out[26]:             prcp     vwc1 datetime                  2006-01-01   0.0  0.17608 2006-01-02   6.0  0.21377 2006-01-03   0.1  0.22291 2006-01-04   3.0  0.23460 2006-01-05   6.7  0.26076

and index datetimeindex desired:

in [27]:  df.index out[27]: <class 'pandas.tseries.index.datetimeindex'> [2006-01-01, ..., 2006-01-05] length: 5, freq: none, timezone: none

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