Question

我使用dataframe合并3次以获得我想要的结果

def write_dips(writer):
    df_dips = pd.read_excel(file_path, sheet_name='DipsSummary')
    df_sales = pd.read_excel(file_path, sheet_name='SaleSummary')
    df_delivery = pd.read_excel(file_path, sheet_name='DeliverySummary')
    df_mapping = pd.read_csv(mappingfilepath, delimiter=',', skiprows=[1])

    df_dips = df_dips.merge(df_mapping, left_on='Site', right_on='SHIP TO NAME',how='left')
    df_dips = df_dips.merge(df_sales, left_on ='IDASS ID', right_on='IdassId',how='left')
    df_dips = df_dips.merge(df_delivery, left_on='SHIP-TO PARTY', right_on='Ship-To Party', how='left')

当我尝试执行第三合并选项时，出现以下错误；

以退出代码137（被信号9：SIGKILL中断）结束的过程

我该如何克服这个问题？

Answer 1

我在每次合并时都使用fillna(0)进行了克服。

def write_dips(writer):
    df_dips = pd.read_excel(file_path, sheet_name='DipsSummary')
    df_sales = pd.read_excel(file_path, sheet_name='SaleSummary')
    df_delivery = pd.read_excel(file_path, sheet_name='DeliverySummary')
    df_mapping = pd.read_csv(mappingfilepath, delimiter=',', skiprows=[1])

df_dips = df_dips.merge(df_mapping, left_on='Site', right_on='SHIP TO NAME',how='left').fillna(0)
df_dips = df_dips.merge(df_sales, left_on ='IDASS ID', right_on='IdassId',how='left').fillna(0)
df_dips = df_dips.merge(df_delivery, left_on='SHIP-TO PARTY', right_on='Ship-To Party', how='left').fillna(0)

数据帧合并给出“进程以退出代码137完成（被信号9：SIGKILL中断）”。

1 个答案: