Pandas datetime to epoch. If x repeats with different y values, linear interpolation is undefined at that x because slope becomes ambiguous. g. timegm() when you need UTC integer seconds from a UTC datetime tuple. Because of the way the Unix Epoch is defined the output can be interpreted as a time in the UTC time zone, but we can change that. strings, epochs, or a mixture, you can use the to_datetime function. In this guide, I walk through the exact conversion patterns I trust in production: pure NumPy conversion, array-scale vectorized conversion, and conversion to pandas Timestamp when richer datetime behavior is needed. 2). If your x-values are timestamps, convert to numeric first (epoch seconds or pandas datetime index). Feb 25, 2016 · As of writing these lines, you can do that very easily with pandas (tested with version 1. If you’ve ever needed to answer questions like “How do signups trend across the year?”, “Is demand spiking around day 320?”, or “What day-of-year was this sensor reading taken?”, you’re in the right place. Here is a working example with a DataFrame filled with strings representing timestamps. Jul 23, 2025 · Converting Python datetime to epoch time is straightforward using the timestamp() method. e. Use calendar. The calendar module is also a great alternative for UTC-specific conversions. The error you are getting is because your times are just a floating-point number, but that is not how you are trying to handle them. The format is given below: TimeStamp value 11/12/2015 10:07:34 AM 24. Use pandas. 5 11/12/2015 10:07:35 AM 55. Use time. dayofyear is the most direct way to turn a datetime series into an ordinal day number (1–366). Interpolation math needs numeric axes. I have a dataframe with unix times and prices in it. timestamp() when your datetime is already timezone-aware and you want direct conversion. January 1, 1970) into datetime objects. Stick to datetime64 or pandas. Handling repeated x-values Repeated x-values often appear after merges or bad upstream joins. Jan 1, 2017 · This converts an int representing a Unix-epoch in units of seconds and for a particular timezone Apr 3, 2018 · I would like to change String timestamp to epoch in milliseconds in column Time in DataFrame. ) that have elapsed since 0000 Coordinated Universal Time (UTC) on Thursday, 1 January 1970. py The datetime module supplies classes for manipulating dates and times. Source code: Lib/datetime. To convert a Series or list-like object of date-like objects e. Epoch time, also known as Unix time or POSIX time, represents a point in time as the number of seconds (or milliseconds, microseconds, etc. While date and time arithmetic is supported, the focus of the implementation is on efficient attr When dealing with time series or transactional data, converting raw strings (stored as the Pandas object type) into native datetime objects is essential for performance, calculation, and indexing. I am able to do that by saving values in list of lists and iterate over each row. Feb 3, 2023 · This tutorial explains how to convert epoch time to datetime in pandas, including an example. pandas. Method 3: pandas. When working with datasets that store timestamps in Epoch format, you'll often need to convert these numerical timestamps into human-readable datetime objects in One of my pandas df has date time string column. Timestamp for internal computation, and only convert to epoch seconds at the boundaries (API payloads, storage schemas that demand it). So for instance I have date as 1349633705 in the index column but The Timestamp object returned by the to_datetime () function has no time zone. to_datetime() for columnar datasets and ETL flows. 1 so on I tried to convert the. 5. to_datetime() for batch data work When you convert thousands or millions of values in ETL or analytics, pandas is practical and fast enough for many workloads. I want to convert the index column so that it shows in human readable dates. A step-by-step illustrated guide on how to convert Epoch to Datetime in a Pandas DataFrame in multiple ways. Series. Use datetime. mktime() only when local machine timezone behavior is intentionally part of the requirement. Your problem has to do with converting the values that you've read (looks like seconds after Unix epoch, i. dt. um1ed, vw9hy, xqyc, yrrj, ojan, tlqih, pkbei, 8jcj, fmwnl, uclz,