Question

我正在尝试用小数点替换逗号，然后用CSV文件中的逗号替换分号。

CSV文件：

# 2018-03-16: ECarbix Prices/Volumes for Emission Spot Market
#  
# Data type(ST);Trading Date;Creation Time
# Data type(IL);Index;Unit;Price;Volume
# Data type(AL);Number of Lines
#  
ST;2018-03-16;2018-03-19T08:39:48+01:00
IL;Day;EUR/tCO2;10,97;4533000
AL;9

我试过的代码：

import pandas as pd
from os import walk
import csv

import xml.dom.minidom
from xml.etree import ElementTree
with open('some.csv', 'w', newline='') as fw:
 writer = csv.writer(fw)

 for filenames in walk("D:\EEX_EMS\CSV"):
    (filenames)
    fname= list(filenames)
    for f in fname[2]:
     if "Auction"  not in f:
      #print(f)
      with open('D:/EEX_EMS/CSV/'+f, 'r') as csvfile:
       spamreader = csv.reader(csvfile,  quotechar='|')
       for fg in spamreader:
        fi =str(fg)
        print(fi)
        fi1 = str(fi.replace(',','.'))
        fi2 = str(fi1.replace(';',','))
        fi_list =str(fi2.split(','))
        print (str(fi_list))

        writer.writerow(fi_list)
fw.close()

这是输出：

['# 2018-03-16: ECarbix Prices/Volumes for Emission Spot Market']
['#  ']
['# Data type(ST),Trading Date,Creation Time']
['# Data type(IL),Index,Unit,Price,Volume']
['# Data type(AL),Number of Lines']
['#  ']
['ST,2018-03-16,2018-03-19T08:39:48+01:00']
['IL,Day,EUR/tCO2,10'. '97,4533000']
['AL,9']

如何获得正确的输出？

Answer 1

进行所需转换的一种方法是：

代码：

def convert_comma_number(maybe_number):
    try:
        return float(maybe_number.replace(',', '.'))
    except ValueError:
        return maybe_number

import csv
with open('csvfile.csv', 'rU') as f:
    reader = csv.reader(f, delimiter=';')
    for row in reader:
        row = [convert_comma_number(col) for col in row]
        print(row)

结果：

['# 2018-03-16: ECarbix Prices/Volumes for Emission Spot Market']
['#  ']
['# Data type(ST)', 'Trading Date', 'Creation Time']
['# Data type(IL)', 'Index', 'Unit', 'Price', 'Volume']
['# Data type(AL)', 'Number of Lines']
['#  ']
['ST', '2018-03-16', '2018-03-19T08:39:48+01:00']
['IL', 'Day', 'EUR/tCO2', 10.97, 4533000.0]
['AL', 9.0]

用'。'代替'，'然后 ';'在csv文件中使用'，'

1 个答案:

代码：

结果：