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python Programming Glossary: parse_datesParse dates when YYYYMMDD and HH are in separate columns using pandas in Python http://stackoverflow.com/questions/11615504/parse-dates-when-yyyymmdd-and-hh-are-in-separate-columns-using-pandas-in-python following import pandas as pnd pnd.read_csv .. file.csv parse_dates True index_col 0 1 and the result I get is X YYYYMMDD HH 2011.. 2012 07 01 10 2012 07 02 20 2012 07 03 30 As you see the parse_dates in converting the HH into a different date. Is there a simple.. index out of the columns in the list. In addition the parse_dates keyword can be set to either True or a list dict. If True then..
http://stackoverflow.com/questions/13757239/combining-rows-in-dataframe
Parsing DD MM YY HH MM SS columns from TXT file using Python's pandas http://stackoverflow.com/questions/17301589/parsing-dd-mm-yy-hh-mm-ss-columns-from-txt-file-using-pythons-pandas 29 04 13 19 15 00 7.000 data2 pd.read_table StringIO data1 parse_dates 'datetime' 'Day' 'Month' 'Year' 'Hour''Min' 'Sec' date_parser.. in module 1 data2 pd.read_table StringIO data1 parse_dates 'datetime' 'Day' 'Month' 'Year' 'Hour''Min' 'Sec' date_parser.. In 1 df pd.read_csv '0132_3.TXT' header None sep ' s s' parse_dates 0 In 2 df Out 2 0 1 0 2013 04 29 00 00 00 7.667 1 2013 04 29..
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