read_csv(parse_dates=True) failure

from stackoverflow

import pandas as pd
from StringIO import StringIO

data = "date,c1\n2012-07-31 02:00,1.1\n2012-07-31 02:15,2.2\n2012-07-31 02:30,3.3\n"

df1 = pd.read_csv(StringIO(data),parse_dates=True).set_index(('date'))
df2 = pd.read_csv(StringIO(data),parse_dates=[0] ).set_index(('date'))

print "df1:\n{index}".format(index=df1.index)
print "df2:\n{index}".format(index=df2.index)

df1 has a index of dtype object.

[changhiskhan]

I’m guessing originally the choice was made so the reader doesn’t go through and try to convert dates for every single column. Maybe we can add an option to make it do so if you don’t care about the possible performance hit (have to check what the impact would be).

On Aug 27, 2012, at 3:49 PM, Wouter Overmeire [e-mail] wrote:

One can indeed look at it from two ways, and fix by updating the docstring 😃

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[valentas-kurauskas]

very non-intuitive…