python用另一个csv中的相邻列数据替换一个csv中列的相邻部分

Question

我有 filea.csv 和 fileb.csv，我想制作 filec.csv。 filea 有三列数据：

date,PVkW,TBLkW
2014/12/26 16:00,20.0,307.4633
2014/12/26 17:00,0.0,291.6297
2014/12/26 18:00,0.0,240.87265
2014/12/26 19:00,0.0,251.475
2014/12/26 20:00,0.0,291.81406
2014/12/26 21:00,0.0,268.26328
2014/12/26 22:00,0.0,257.0367

fileb 有两列数据，filea 的 row[0] 的值匹配，但行数更少：

date,PVkW,TBLkW
2014/12/26 16:00,108.95
2014/12/26 17:00,1.84
2014/12/26 18:00,0.0

对于filec，当它们具有相同的row[0]时，我试图将filea中的row[1]替换为fileb的row[1]，否则只需将filea的行写入filec：

date,PVkW,TBLkW
2014/12/26 16:00,108.95,307.4633
2014/12/26 17:00,1.84,291.6297
2014/12/26 18:00,0.0,240.87265
2014/12/26 19:00,0.0,251.475
2014/12/26 20:00,0.0,291.81406
2014/12/26 21:00,0.0,268.26328
2014/12/26 22:00,0.0,257.0367

这是我正在使用的内容，改编自 python update a column value of a csv file according to another csv file

import csv

filea = "filea.csv"
fileb = "fileb.csv"
filec = "filec.csv"

delim = ","

a_content = csv.reader(open(filea,"r"), delimiter=delim)
b_content = csv.reader(open(fileb,"r"), delimiter=delim)
datawriter = csv.writer(open(filec, "w"), delimiter=delim)

b_dict = {}

next(b_content)

for row in b_content:
    b_dict[row[0]] = row[1] 

for row in a_content:
    if row[0] in b_dict:
       row[1] = b_dict[row[1]]

    datawriter.writerow(row)

当我运行它（python3）时，我收到以下错误：

row[1] = b_dict[row[1]]
KeyError: '0'

如前所述，我如何从 filea 和 fileb 生成 filec？

Answer 1

看起来您在row[1] = b_dict[row[1]] 行中引用b_dict 中的键的方式是错误的，它应该是row[1] = b_dict[row[0]]，因为row[0] 是字典的键，而不是row[1]。