Date and Time Data Types and Tools  -  Time Series

The Pandas library gives us a lot of date and time tools to study time series data.

Let us begin with the basic DateTime module in python.

Code

from datetime import datetime
from datetime import timedelta

Let us try to print the date and time at the current moment. 

Code

now = datetime.now()

Code

now

Output

The date & time output is up to in microseconds.

We can extract any detail such as year, month, day, etc. from the above datetime output.

Code

print(now.year, now.month, now.day)

Output

Calculating the difference between two dates

The datetime.timedelta() in python, can store the difference between two dates, accurately in microseconds.

Code

diff = datetime(2020, 8, 12) — datetime(2020, 7, 12, 10)

Code

diff

Output

We can extract any detail, such as days or seconds from the above datetime.timedelta() object.

Code

print(diff.days, diff.seconds)

Output

Adding (or Subtracting) a timedelta to a datetime object

We can add datetime.timedelta() to datetime() object.

Code

date1 = datetime(2020, 8, 12)

Let us try to add 12 days to the above datetime object.

Code

date1 + timedelta(12)

Output

Let us try to subtract 12 days from the same above datetime object.

Code

date1 — timedelta(12)

Output