Convert Date Formats in CSV Files
Last updated: March 2026 • 5 min read
"03/04/2026" — is that March 4th or April 3rd? Date format inconsistency is one of the most common CSV problems. Here's how to fix it.
Common Date Formats
| Format | Example | Region |
|---|---|---|
| MM/DD/YYYY | 03/17/2026 | US |
| DD/MM/YYYY | 17/03/2026 | EU, UK |
| YYYY-MM-DD | 2026-03-17 | ISO 8601 |
Python Solution
import pandas as pd
df = pd.read_csv('data.csv')
# Parse ambiguous dates (dayfirst=True for EU format)
df['date'] = pd.to_datetime(df['date'], dayfirst=True)
# Convert to ISO format
df['date'] = df['date'].dt.strftime('%Y-%m-%d')
df.to_csv('data_fixed.csv', index=False)Excel Formula
=TEXT(A1,"YYYY-MM-DD")
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