python data_error ai_generated true

ValueError: You are trying to merge on int64 and object columns. If you wish to proceed you should use pd.concat

ID: python/pandas-merge-type-mismatch

Also available as: JSON · Markdown · 中文
80%Fix Rate
90%Confidence
0Evidence
2024-09-25First Seen

Version Compatibility

VersionStatusIntroducedDeprecatedNotes
3.x active — — —

Root Cause

Join keys have mismatched dtypes (int vs string), preventing equality matches.

generic

中文

连接键 dtype 不匹配（整数 vs 字符串），无法进行相等匹配。

Workarounds

  1. 95% success 
    df1['key'] = df1['key'].astype(str); df2['key'] = df2['key'].astype(str)
  2. 85% success 
    pd.merge(df1, df2, left_on=df1.key.astype(int), right_on='key')

Dead Ends

Common approaches that don't work:

  1. 80% fail

    Produces cartesian/incorrect rows

  2. 85% fail

    Same dtype error