将包含元组的pandas列转换为字符串

df 共800行,其中一列包含元组:

        conComb     insOrDel    supp
580     ('r', '>', 'ins')   36272   0.199807
449     ('ar', '>', 'ins')  31596   0.174049
594     ('tar', '>', 'ins')     4398    0.024227
529     ('lar', '>', 'ins')     3037    0.016730

df.dtypes

conComb      object
insOrDel      int64
supp        float64
dtype: object

我想转换 conComb

df["conComb"] = df["conComb"].astype(str)

df["conComb"] = df["conComb"].astype(|S1) 或

df["conComb"] = df["conComb"].values.astype(str) ,

列的类型 炮灰 改成字符串?

对评论中讨论的问题的扩展

confDF 24000行

conComb     objF    insOrDel
0   ('<ablucar', '>', 'ins')    (a)     11
1   ('<ablucar', '>', 'ins')    (ai)    3
2   ('<ablucar', '>', 'ins')    (ais)   3
3   ('<ablucar', '>', 'ins')    (amos)  2

数据框 和 引发以下消息 ValueError: You are trying to merge on object and int64 columns. If you wish to proceed you should use pd.concat

confDF["conComb"] = confDF["conComb"].astype(str)
pd.DataFrame.join(df,confDF, on ="conComb")

怎么能背诵出来?