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import argparse | |
import pandas as pd | |
if __name__ == '__main__': | |
parser = argparse.ArgumentParser() | |
parser.add_argument("inputfile") | |
parser.add_argument("-c","--createcols", action='store_true') | |
parser.add_argument("-l","--limit", type=int) | |
parser.add_argument("outputfile") | |
args = parser.parse_args() | |
date_columns = ['discovered','published','added'] | |
df = pd.read_csv(args.inputfile, | |
encoding='utf8', | |
keep_default_na=False, | |
on_bad_lines='skip', | |
sep='\t', | |
nrows=args.limit, | |
parse_dates=date_columns) | |
if args.createcols: | |
for date_column in date_columns: | |
df[date_column + '_q'] = pd.PeriodIndex(df[date_column], freq='Q') | |
df.to_csv(args.outputfile, index=False, sep=',') |