从数据框中删除行，df.drop 不删除行

如何解决从数据框中删除行，df.drop 不删除行

我正在制作一个表格，其中记录了类似产品的索引，然后将这些行中的数据粘贴到单个行中，该行聚合了所有数据。在此之后，该行被删除。代码如下：

matchedproducts_df = pd.read_sql_query("SELECT * from matchedproducts",conn)

print(len(matchedproducts_df.index))

def mergeduplicates(df,similarity_field='',databasetable='',similar_level=85):
    
    print(len(df.index))

    def check_simi(d):
        global dupl_indexes,dupl_originals
        dupl_originals = []
        dupl_indexes = []
        for i in range(len(d.values) - 1):
            for j in range(i + 1,len(d.values)):
                if fuzz.token_sort_ratio(d.values[i],d.values[j]) >= similar_level:
                    dupl_indexes.append(d.index[j])
                    dupl_originals.append(d.index[i])

       

    indexes = df.groupby([True]*len(df))[similarity_field].apply(check_simi)

    a = 0
    for i in dupl_indexes:
        if df.iloc[i,5] == 'harveynichols':
            df.at[dupl_originals[a],'pricehn'] = df.loc[i,'price']
            df.at[dupl_originals[a],'availabilityhn'] = df.loc[i,'availability']
            df.at[dupl_originals[a],'storehn'] = df.loc[i,'store']
            df.at[dupl_originals[a],'hyperlinkhn'] = df.loc[i,'hyperlink']
            df.drop([i])
        elif df.iloc[i,5] == 'houSEOffraser':
            df.at[dupl_originals[a],'pricehof'] = df.loc[i,'availabilityhof'] = df.loc[i,'storehof'] = df.loc[i,'hyperlinkhof'] = df.loc[i,5] == 'selfridges':
            df.at[dupl_originals[a],'pricesf'] = df.loc[i,'availabilitysf'] = df.loc[i,'storesf'] = df.loc[i,'hyperlinksf'] = df.loc[i,5] == 'lookfantastic':
            df.at[dupl_originals[a],'pricelf'] = df.loc[i,'availabilitylf'] =  df.loc[i,'storelf'] = df.loc[i,'hyperlinklf'] = df.loc[i,5] == 'superdrug':
            df.at[dupl_originals[a],'pricesd'] = df.loc[i,'availabilitysd'] = df.loc[i,'storesd'] = df.loc[i,'hyperlinksd'] = df.loc[i,5] == 'boots':
            df.at[dupl_originals[a],'priceboots'] = df.loc[i,'availabilityboots'] = df.loc[i,'storeboots'] = df.loc[i,'hyperlinkboots'] = df.loc[i,5] == 'allbeauty':
            df.at[dupl_originals[a],'priceab'] = df.loc[i,'availabilityab'] = df.loc[i,'storeab'] = df.loc[i,'hyperlinkab'] = df.loc[i,5] == 'asos':
            df.at[dupl_originals[a],'pricea'] = df.loc[i,'availabilitya'] = df.loc[i,'storea'] = df.loc[i,'hyperlinka'] = df.loc[i,'hyperlink']
            df.drop([i])

        # for index_list in indexes:
        #     df.drop(index_list,inplace=True)

        a += 1

    print(len(df.index))

    df.to_csv('C:/Users/Judoo/Desktop/matchedproducts.csv')

    df.to_sql(databasetable,conn,if_exists="replace")
    
    conn.commit()

    conn.close()

mergeduplicates(matchedproducts_df,similarity_field='name',databasetable='matchedproducts')

该代码适用于查找重复项并将其数据复制到相关的原始行中，但不会在检查后删除/删除该行。脚本前后表的长度相同。我不确定为什么会发生这种情况，任何帮助将不胜感激。

解决方法

df.drop() 方法通常会删除您想要删除特定行的行。您是否尝试过添加 inplace=True？因为它可能会保留旧索引。或者，您可以使用像 df = df.drop([i]) 这样的新 df 来做同样的事情。 See here

如果这些都不能解决您的问题，则您必须尝试使用​​ df.drop([i]) 的结构。