Question

我是python和pandas的新手，并且有一个读入熊猫数据框的csv文件。在下面找到它。

我正在尝试根据PLDATE中的行值填充列OND_ORIGIN和OND_DEST。

逻辑适用于同一天飞行的每个航班，OND_ORIGIN和OND_DEST应与departure_from和Arr_to列相同

import pandas as pd
import numpy as np
import csv


location = r'C:\Users\bi.reports\Desktop\output.csv'
df = pd.read_csv(location,sep='\s*,\s*',engine='python')
for i, row in df.iterrows():
    if row['COUPON_NUMBER'] == 1:
        df.OND_ORIGIN = df.DEP_FROM 
        #df.OND_DEST = df.DEP_FROM
    elif  row['COUPON_NUMBER'] == 2:
        #df.OND_ORIGIN = df.DEP_FROM 
        df.OND_DEST = df.ARR_TO
    elif row['COUPON_NUMBER'] == 3:
        #df.OND_ORIGIN = df.DEP_FROM 
        df.OND_DEST = df.ARR_TO   
    else:
    df.OND_ORIGIN = df.DEP_FROM  
    #df.OND_DEST = df.ARR_TO 

   df.to_csv('out.csv', sep=',',index = False)

csv file in use

Answer 1

试试这个：

df.loc[df['COUPON_NUMBER'] == 1, 'OND_ORIGIN'] = df.DEP_FROM
df.loc[df['COUPON_NUMBER'].isin([2,3]), 'OND_DEST'] = df.ARR_TO
df.loc[~df['COUPON_NUMBER'].isin([1,2,3]), 'OND_ORIGIN'] = df.DEP_FROM

或位优化：

df.loc[df['COUPON_NUMBER'].isin([2,3]), 'OND_DEST'] = df.ARR_TO
df.loc[~df['COUPON_NUMBER'].isin([2,3]), 'OND_ORIGIN'] = df.DEP_FROM

如果满足基于同一数据帧中的2个其他列行值的条件，则填充数据帧中列的行中的值

1 个答案: