Quickly Convert Pandas Timestamps to Simple Date Strings
This article walks through a common Pandas time‑handling issue, showing how to convert a timestamp column to a YYYY‑MM‑DD date format with concise code, complete with example data, output screenshots, and a brief conclusion for Python learners.
1. Introduction
The author, known as "皮皮", was asked in the Python community group "苍龙" to solve a Pandas time‑processing problem, illustrated by the following screenshot.
2. Solution
The provided answer creates a DataFrame, prints the original time column, converts it to datetime, and formats it as %Y-%m-%d. The resulting code is:
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)The code works as expected, as shown in the following output image.
If you encounter similar issues, you can contact the author or join the Python learning group for further assistance.
3. Conclusion
The article presented a specific Pandas time‑processing challenge, offered a clear solution with executable code, and helped the community resolve the problem efficiently.
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