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python - Python从csv文件中的列中删除换行符

问题描述

我尝试了很多建议，但我无法删除回车。我是新的 python 并尝试使用 csv 文件清理。

import csv
filepath_i = 'C:\Source Files\Data Source\Flat File Source\PatientRecords.csv'
filepath_o = 'C:\Source Files\Data Source\Flat File Source\PatientRecords2.csv'
rows = []
with open(filepath_i, 'rU', newline='') as csv_file:
     #filtered = (line.replace('\r\n', '') for line in csv_file)
    filtered = (line.replace('\r', '') for line in csv_file)
    csv_reader = csv.reader(csv_file, delimiter=',')
    i = 0
    for row in csv_reader:
        print(row)
        i = i + 1
        if(i == 10):
            break
    #with open(filepath_o, 'w',newline='' ) as writeFile:
    #    writer = csv.writer(writeFile,lineterminator='\r')
    #    for row in csv_reader:
    #        #rows.append(row.strip()) 
    #        rows.append(row.strip()) 
    #    writer.writerows(rows)

输入

DRG Definition,Provider Id,Provider Name,Provider Street Address,Provider City,Provider State,Provider Zip Code,Hospital Referral Region Description,Hospital Category,Hospital Type, Total Discharges ,Covered Charges , Total Payments ,Medicare Payments
039 - EXTRACRANIAL PROCEDURES W/O CC/MCC,10001,SOUTHEAST ALABAMA MEDICAL CENTER,1108 ROSS CLARK CIRCLE,DOTHAN,AL,36301,AL - Dothan,Specialty Centers,Government Funded,91,"$32,963.07 ","$5,777.24 ","$4,763.73 "
039 - EXTRACRANIAL PROCEDURES W/O CC/MCC,10005,MARSHALL MEDICAL CENTER SOUTH,"2505 U S HIGHWAY 
431 NORTH",BOAZ,AL,35957,AL - Birmingham,Specialty Centers,Private Institution,14,"$15,131.85 ","$5,787.57 ","$4,976.71 "
039 - EXTRACRANIAL PROCEDURES W/O CC/MCC,10006,ELIZA COFFEE MEMORIAL HOSPITAL,205 MARENGO STREET,FLORENCE,AL,35631,AL - Birmingham,Rehabilitation Centers,Private Institution,24,"$37,560.37 ","$5,434.95 ","$4,453.79 "

输出（第 4 列“提供者街道地址”）

['DRG Definition', 'Provider Id', 'Provider Name', 'Provider Street Address', 'Provider City', 'Provider State', 'Provider Zip Code', 'Hospital Referral Region Description', 'Hospital Category', 'Hospital Type', ' Total Discharges ', 'Covered Charges ', ' Total Payments ', 'Medicare Payments']
['039 - EXTRACRANIAL PROCEDURES W/O CC/MCC', '10001', 'SOUTHEAST ALABAMA MEDICAL CENTER', '1108 ROSS CLARK CIRCLE', 'DOTHAN', 'AL', '36301', 'AL - Dothan', 'Specialty Centers', 'Government Funded', '91', '$32,963.07 ', '$5,777.24 ', '$4,763.73 ']
['039 - EXTRACRANIAL PROCEDURES W/O CC/MCC', '10005', 'MARSHALL MEDICAL CENTER SOUTH', '2505 U S HIGHWAY \n431 NORTH', 'BOAZ', 'AL', '35957', 'AL - Birmingham', 'Specialty Centers', 'Private Institution', '14', '$15,131.85 ', '$5,787.57 ', '$4,976.71 ']

标签： python

解决方案

我在我身边运行它并且它有效：

with open(filepath_i, 'rU', newline='') as csv_file:
    csv_reader = csv.reader(csv_file, delimiter=',')
    for row in csv_reader:
        row[3] = row[3].replace("\n","").replace("\r","")
        print(row)

输出：

['DRG Definition', 'Provider Id', 'Provider Name', 'Provider Street Address', 'Provider City', 'Provider State', 'Provider Zip Code', 'Hospital Referral Region Description', 'Hospital Category', 'Hospital Type', ' Total Discharges ', 'Covered Charges ', ' Total Payments ', 'Medicare Payments']
['039 - EXTRACRANIAL PROCEDURES W/O CC/MCC', '10001', 'SOUTHEAST ALABAMA MEDICAL CENTER', '1108 ROSS CLARK CIRCLE', 'DOTHAN', 'AL', '36301', 'AL - Dothan', 'Specialty Centers', 'Government Funded', '91', '$32,963.07 ', '$5,777.24 ', '$4,763.73 ']
['039 - EXTRACRANIAL PROCEDURES W/O CC/MCC', '10005', 'MARSHALL MEDICAL CENTER SOUTH', '2505 U S HIGHWAY 431 NORTH', 'BOAZ', 'AL', '35957', 'AL - Birmingham', 'Specialty Centers', 'Private Institution', '14', '$15,131.85 ', '$5,787.57 ', '$4,976.71 ']
['039 - EXTRACRANIAL PROCEDURES W/O CC/MCC', '10006', 'ELIZA COFFEE MEMORIAL HOSPITAL', '205 MARENGO STREET', 'FLORENCE', 'AL', '35631', 'AL - Birmingham', 'Rehabilitation Centers', 'Private Institution', '24', '$37,560.37 ', '$5,434.95 ', '$4,453.79 ']

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