DataFrame的apply方法:
def cal_value_percent(row,total_value): row['new_column']=row[estimated_value_col]/total_value return row df=df.apply(lambda row:cal_value_percent(row,total),axis=1)
Series的apply方法:
df['AJID']=df['AJID'].apply(lambda x:str(x))
DataFrame的apply方法:
def cal_value_percent(row,total_value): row['new_column']=row[estimated_value_col]/total_value return row df=df.apply(lambda row:cal_value_percent(row,total),axis=1)
Series的apply方法:
df['AJID']=df['AJID'].apply(lambda x:str(x))