Pandas Datetime: Create a 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
Python Code Editor:
Have another way to solve this solution? Contribute your code (and comments) through Disqus.
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.
What is the difficulty level of this exercise?
- Weekly Trends and Language Statistics
- Weekly Trends and Language Statistics