Pandas Datetime: Create a conversion between strings and datetime

Last update on May 03 2025 12:58:21 (UTC/GMT +8 hours)

15. Conversion Between Strings and Datetime

Write a Pandas program to create a conversion between strings and datetime.

Sample Solution :

Python Code :

from datetime import datetime
from dateutil.parser import parse
print("Convert datatime to strings:")
stamp=datetime(2019,7,1)
print(stamp.strftime('%Y-%m-%d'))
print(stamp.strftime('%d/%b/%y'))
print("\nConvert strings to datatime:")
print(parse('Sept 17th 2019'))
print(parse('1/11/2019'))
print(parse('1/11/2019', dayfirst=True))

Sample Output:

Convert datatime to strings:
2019-07-01
01/Jul/19

Convert strings to datatime:
2019-09-17 00:00:00
2019-01-11 00:00:00
2019-11-01 00:00:00

For more Practice: Solve these Related Problems:

Write a Pandas program to convert a column of date strings in the UFO dataset into datetime objects.
Write a Pandas program to transform datetime objects back into formatted strings and verify the conversion.
Write a Pandas program to use pd.to_datetime() to parse a column of date strings and then format the dates using dt.strftime().
Write a Pandas program to create a new column that converts UFO reporting dates from string format to datetime and back to string format.

Go to:

Previous: Write a Pandas program to generate sequences of fixed-frequency dates and time spans.
Next: Write a Pandas program to manipulate and convert date times with timezone information.

Python Code Editor:

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