python data_error ai_generated true

ValueError: Unable to parse string "N/A" at position 3

ID: python/pandas-to-numeric-nonnumeric

Also available as: JSON · Markdown · 中文
80%Fix Rate
90%Confidence
0Evidence
2024-10-28First Seen

Version Compatibility

VersionStatusIntroducedDeprecatedNotes
3.x active — — —

Root Cause

pd.to_numeric hits non-numeric tokens without errors='coerce'.

generic

中文

pd.to_numeric 遇到非数值标记而未设置 errors='coerce'。

Workarounds

  1. 95% success 
    pd.to_numeric(s, errors='coerce').fillna(0)
  2. 85% success 
    s.replace({'N/A': None, '-': None}).astype('Float64')

Dead Ends

Common approaches that don't work:

  1. 80% fail

    Other tokens ('-', 'null') still fail

  2. 70% fail

    Keeps object dtype; downstream numeric ops fail