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@@ -1126,8 +1126,7 @@ class SpApiRequest:
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merge_df = df.merge(df_query,how='left',on=['asin', 'countryCode', 'marketplace_id', 'seller_id'],suffixes=['','_right'])
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merge_df['IsParent'] = merge_df.apply(lambda x:x['IsParent_right'] if x['IsParent']=='Erro' else x['IsParent'],axis=1)
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merge_df['parent_asin'] = merge_df.apply(lambda x: x['parent_asin_right'] if x['parent_asin'] == 'Erro' else x['parent_asin'], axis=1)
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- erro_df = merge_df.query("IsParent=='Erro' or parent_asin=='Erro'")
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- merge_df.drop(erro_df.index,inplace=True)
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+ merge_df = merge_df.query("IsParent!='Erro' and parent_asin!='Erro'")
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detail_info_value = merge_df[['main_image', 'productTypes', 'BigCat_rank', 'BigCat_title', 'SmallCat_rank',
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'SmallCat_title', 'brandName', 'browseNode', 'itemName', 'IsParent', 'parent_asin',
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'asin', 'countryCode', 'marketplace_id', 'seller_id', 'update_time']].to_numpy().tolist()
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huangyifan