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- index print_statement timestamp
- 0 echo "I AM HAPPY2" 2018-11-12 08:01:00
- 1 echo "I AM HAPPY3" 2018-11-12 08:01:00
- 2 echo "I AM HAPPY1" 2018-11-12 08:01:00
- 3 echo "I AM HAPPY4" 2018-12-12 08:02:00
- 4 echo "I AM HAPPY5" 2018-12-13 08:02:00
- for index, row in df.iterrows():
- date_store = row['time_to_expire']
- if date_store.to_pydatetime() >= ii:
- df_final = row
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