python data_error ai_generated true

ValueError: time data '2024-13-45' does not match format '%Y-%m-%d'

ID: python/pandas-parse-dates-error

Also available as: JSON · Markdown · 中文
80%Fix Rate
87%Confidence
0Evidence
2024-06-03First Seen

Version Compatibility

VersionStatusIntroducedDeprecatedNotes
3.x active — — —

Root Cause

Date string is invalid (month/day out of range) or format string incorrect.

generic

中文

日期字符串无效（月/日超出范围）或格式字符串不正确。

Workarounds

  1. 95% success 
    pd.to_datetime(s, errors='coerce') then inspect s.isna()
  2. 85% success 
    pd.to_datetime(s, format='mixed', dayfirst=False)

Dead Ends

Common approaches that don't work:

  1. 75% fail

    Silently drops data; root data quality issue persists

  2. 85% fail

    Produces wrong dates for valid rows