Posted in Python onMarch 16, 2020
1、python读写csv文件
import csv #读取csv文件内容方法1 csv_file = csv.reader(open('testdata.csv','r')) next(csv_file, None) #skip the headers for user in csv_file: print(user) #读取csv文件内容方法2 with open('testdata.csv', 'r') as csv_file: reader = csv.reader(csv_file) next(csv_file, None) for user in reader: print(user) #从字典写入csv文件 dic = {'fengju':25, 'wuxia':26} csv_file = open('testdata1.csv', 'w', newline='') writer = csv.writer(csv_file) for key in dic: writer.writerow([key, dic[key]]) csv_file.close() #close CSV file csv_file1 = csv.reader(open('testdata1.csv','r')) for user in csv_file1: print(user)
2、python读写excle文件
需要先用python pip命令安装xlrd , xlwt库~
import xlrd, xlwt #xlwt只能写入xls文件 #读取xlsx文件内容 rows = [] #create an empty list to store rows book = xlrd.open_workbook('testdata.xlsx') #open the Excel spreadsheet as workbook sheet = book.sheet_by_index(0) #get the first sheet for user in range(1, sheet.nrows): #iterate 1 to maxrows rows.append(list(sheet.row_values(user, 0, sheet.ncols))) #iterate through the sheet and get data from rows in list print(rows) #写入xls文件 rows1 = [['Name', 'Age'],['fengju', '26'],['wuxia', '25']] book1 = xlwt.Workbook() #create new book1 excle sheet1 = book1.add_sheet('user') #create new sheet for i in range(0, 3): for j in range(0, len(rows1[i])): sheet1.write(i, j, rows1[i][j]) book1.save('testdata1.xls') #sava as testdata1.xls
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Python读写操作csv和excle文件代码实例
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