Pandas Datetime: Create a conversion between strings and datetime
Pandas Datetime: Exercise-15 with Solution
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?
It will be nice if you may share this link in any developer community or anywhere else, from where other developers may find this content. Thanks.
https://198.211.115.131/python-exercises/pandas/datetime/pandas-datetime-exercise-15.php
- Weekly Trends and Language Statistics
- Weekly Trends and Language Statistics