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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

FormatExampleRegion
MM/DD/YYYY03/17/2026US
DD/MM/YYYY17/03/2026EU, UK
YYYY-MM-DD2026-03-17ISO 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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