How to Quickly Convert Pandas Timestamps to Date Strings – A Simple Guide
In this brief tutorial, the author shares a straightforward Pandas solution for converting timestamp strings like '06/27/2022 12:00' into 'YYYY‑MM‑DD' format, complete with sample code, screenshots, and an invitation to join a Python learning community for further support.
1. Introduction
Recently, in a Python community group, a member asked a Pandas date‑handling question, as shown in the screenshot below.
2. Implementation
The following code provides a solution:
import pandas as pd
df = pd.DataFrame({"time": ['06/27/2022 12:00', '06/27/2022 12:01']})
print(df.time)
df.time = pd.to_datetime(df.time).dt.strftime('%Y-%m-%d')
print(df.time)This successfully converts the timestamps to the desired date format.
3. Summary
The article demonstrates how to handle a common Pandas time‑processing problem, offering clear code and explanation to help readers solve similar issues.
Feel free to join the Python learning group for further assistance.
Python Crawling & Data Mining
Life's short, I code in Python. This channel shares Python web crawling, data mining, analysis, processing, visualization, automated testing, DevOps, big data, AI, cloud computing, machine learning tools, resources, news, technical articles, tutorial videos and learning materials. Join us!
How this landed with the community
Was this worth your time?
0 Comments
Thoughtful readers leave field notes, pushback, and hard-won operational detail here.
