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:
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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?
Python: Tips of the Day
F strings:
It is a common practice to add variables inside strings. F strings are by far the coolest way of doing it. To appreciate the f strings more, let's first perform the operation with the format function.
name = 'Owen' age = 25 print("{} is {} years old".format(name, age))
Output:
Owen is 25 years old
We specify the variables that go inside the curly braces by using the format function at the end. F strings allow for specifying the variables inside the string.
name = 'Owen' age = 25 print(f"{name} is {age} years old")
Output:
Owen is 25 years old
F strings are easier to follow and type. Moreover, they make the code more readable.
A, B, C = {2, 4, 6} print(A, B, C) A, B, C = ['p', 'q', 'r'] print(A, B, C)
Output:
2 4 6 p q r
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