Pandas Datetime: Create a conversion between strings and datetime
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.
Python Code Editor:
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