This content originally appeared on DEV Community and was authored by Labby
Introduction
This lab guides you through the process of working with time deltas in Python using the pandas library. A time delta represents a duration or difference in time. We will explore different ways to construct, manipulate, and operate on time deltas.
VM Tips
After the VM startup is done, click the top left corner to switch to the Notebook tab to access Jupyter Notebook for practice.
Sometimes, you may need to wait a few seconds for Jupyter Notebook to finish loading. The validation of operations cannot be automated because of limitations in Jupyter Notebook.
If you face issues during learning, feel free to ask Labby. Provide feedback after the session, and we will promptly resolve the problem for you.
Import the Required Libraries
First, we need to import the necessary libraries. In this case, we will be using pandas and numpy.
# Import the required libraries
import pandas as pd
import numpy as np
import datetime
Construct a Timedelta
Let's create a timedelta object, which represents a duration or difference in time.
# Construct a timedelta object
pd.Timedelta("1 days 2 hours")
Convert to Timedelta
You can convert a scalar, array, list, or series from a recognized timedelta format into a timedelta type.
# Convert a string to a timedelta
pd.to_timedelta("1 days 06:05:01.00003")
Perform Operations
You can perform mathematical operations on timedeltas.
# Subtract two timedeltas
s = pd.Series(pd.date_range("2012-1-1", periods=3, freq="D"))
s - s.max()
Access Attributes
You can access various components of the timedelta directly.
# Access the days attribute of a timedelta
tds = pd.Timedelta("31 days 5 min 3 sec")
tds.days
Convert to ISO 8601 Duration
You can convert a timedelta to an ISO 8601 Duration string.
# Convert a timedelta to an ISO 8601 Duration string
pd.Timedelta(days=6, minutes=50, seconds=3, milliseconds=10, microseconds=10, nanoseconds=12).isoformat()
Create a Timedelta Index
You can generate an index with time deltas.
# Generate a timedelta index
pd.TimedeltaIndex(["1 days", "1 days, 00:00:05", np.timedelta64(2, "D"), datetime.timedelta(days=2, seconds=2)])
Use the Timedelta Index
You can use the timedelta index as the index of pandas objects.
# Use the timedelta index as the index of a pandas series
s = pd.Series(np.arange(100), index=pd.timedelta_range("1 days", periods=100, freq="h"))
Perform Operations with Timedelta Index
You can perform operations with the timedelta index.
# Add a timedelta index to a datetime index
tdi = pd.TimedeltaIndex(["1 days", pd.NaT, "2 days"])
dti = pd.date_range("20130101", periods=3)
(dti + tdi).to_list()
Resample a Timedelta Index
You can resample data with a timedelta index.
# Resample data with a timedelta index
s.resample("D").mean()
Summary
In this lab, we learned how to work with time deltas in Python using the pandas library. We covered how to construct a timedelta, convert to timedelta, perform operations, access attributes, convert to ISO 8601 Duration, create a timedelta index, use the timedelta index, perform operations with timedelta index, and resample a timedelta index. With these skills, you can efficiently handle and manipulate time-based data in your future data analysis tasks.
Want to learn more?
- 🚀 Practice Working With Time Deltas
- 🌳 Learn the latest Pandas Skill Trees
- 📖 Read More Pandas Tutorials
Join our Discord or tweet us @WeAreLabEx ! 😄
This content originally appeared on DEV Community and was authored by Labby
Labby | Sciencx (2024-07-03T03:23:13+00:00) Working With Time Deltas in Python. Retrieved from https://www.scien.cx/2024/07/03/working-with-time-deltas-in-python/
Please log in to upload a file.
There are no updates yet.
Click the Upload button above to add an update.