python data_error ai_generated true

pandas.core.base.DataError: No numeric types to aggregate

ID: python/pandas-groupby-agg-nonnumeric

Also available as: JSON · Markdown · 中文
80%Fix Rate
88%Confidence
0Evidence
2024-12-03First Seen

Version Compatibility

VersionStatusIntroducedDeprecatedNotes
3.x active — — —

Root Cause

Groupby mean/sum applied to DataFrame with no numeric columns (all object/string).

generic

中文

对全为非数值列（object/字符串）的 DataFrame 执行 groupby mean/sum。

Workarounds

  1. 95% success 
    df.select_dtypes(include='number').groupby(key).mean()
  2. 90% success 
    Convert target column first: df['val'] = pd.to_numeric(df['val'], errors='coerce')

Dead Ends

Common approaches that don't work:

  1. 70% fail

    Returns empty frame when no numeric columns exist

  2. 80% fail

    Fails on non-numeric strings