I'm trying to convert all instances of 'GMT' time in a time/date column ('Created_At') in a csv file so that it is all formatted in 'EST'. Please see below:
import pandas as pd
from pandas.tseries.resample import TimeGrouper
from pandas.tseries.offsets import DateOffset
from pandas.tseries.index import DatetimeIndex
cambridge = pd.read_csv('\Users\cgp\Desktop\Tweets.csv')
cambridge['Created_At'] = pd.to_datetime(pd.Series(cambridge['Created_At']))
cambridge.set_index('Created_At', drop=False, inplace=True)
cambridge.index = cambridge.index.tz_localize('GMT').tz_convert('EST')
cambridge.index = cambridge.index - DateOffset(hours = 12)
The error I'm getting is:
cambridge.index = cambridge.index.tz_localize('GMT').tz_convert('EST')
AttributeError: 'Index' object has no attribute 'tz_localize'
I've tried various different things but am stumped as to why the Index object won't recognized the tz_attribute. Thank you so much for your help!
2 Answers
Replace
cambridge.set_index('Created_At', drop=False, inplace=True)
with
cambridge.set_index(pd.DatetimeIndex(cambridge['Created_At']), drop=False, inplace=True)
Hmm. Like the other tz_localize current problem, this works fine for me. Does this work for you? I have simplified some of the calls a bit from your example:
df2 = pd.DataFrame(randn(3, 3), columns=['A', 'B', 'C'])
# randn(3,3) returns nine random numbers in a 3x3 array.
# the columns argument to DataFrame names the 3 columns.
# no datetimes here! (look at df2 to check)
df2['A'] = pd.to_datetime(df2['A'])
# convert the random numbers to datetimes -- look at df2 again
# if A had values to_datetime couldn't handle, we'd clean up A first
df2.set_index('A',drop=False, inplace=True)
# and use that column as an index for the whole df2;
df2.index = df2.index.tz_localize('GMT').tz_convert('US/Eastern')
# make it timezone-conscious in GMT and convert that to Eastern
df2.index.tzinfo
<DstTzInfo 'US/Eastern' LMT-1 day, 19:04:00 STD>
