DataFrame(books) # 写入csv文件,'a+'是追加模式 try: if number == 1: csv_headers = ['书名', '作者'] data.to_csv(fileName, header=csv_headers, index=False, mode='a+', encoding='utf-8') else: data.to_csv('fileName, header=Fals
第一种:使用csv模块,写入到csv格式文件 # -*- coding: utf-8 -*- import csv with open("my.csv", "a", newline='') as f: writer = csv.writer(f) writer.writerow(["URL", "predict", "score"]) row = [['1', 1, 1], ['2', 2, 2], ['3', 3, 3]] for r in row: wri...
writer=csv.writer(csvfile) #先写入columns_name writer.writerow(["index","a_name","b_name"]) #写入多行用writerows writer.writerows([[0,1,3],[1,2,3],[2,3,4]]) index a_name b_name013123234 读取csv文件用reader import csv with open("test.csv","r")ascsvfile: reader=csv.reader...
第一种:使用csv模块,写入到csv格式文件 1 2 3 4 5 6 7 8 9 # -*- coding: utf-8 -*- importcsv withopen("my.csv","a", newline='') as f: writer=csv.writer(f) writer.writerow(["URL","predict","score"]) row=[['1',1,1], ['2',2,2], ['3',3,3]] forrinrow: writ...
import csv # open the file in the write mode f = open('path/to/csv_file', 'w') # create the csv writer writer = csv.writer(f) # write a row to the csv file writer.writerow(row) # close the file f.close() 使用with 语句可以避免调用 close() 方法关闭文件,从而使得代码更加精简...
import csv 1. #python2可以用file替代open with open(“test.csv”,“w”) as csvfile: writer = csv.writer(csvfile) </span><span style="color: #008000;">#</span><span style="color: #008000;">先写入columns_name</span> writer.writerow([<span style="color: #800000;">"</span><span...
一、将列表数据写入txt、csv、excel 1、写入txt def text_save(filename, data):#filename为写入CSV文件的路径,data为要写入数据列表. file = open(filename,'a') for i in range(len(data)): ...
csv_reader = csv.reader(csv_file) 1. 2. 2.1.2、读取CSV文件 获取到csv读取对象后,我们就可以通过csv读取对象读取csv文件中的内容,csv文件读取对象是一个可遍历的对象,我们可以通过for循环遍历的方式,去获取csv文件中的数据: for row in csv_reader: ...
# 写入csv文件,'a+'是追加模式 try: ifnumber ==1: csv_headers = ['书名','作者'] data.to_csv(fileName, header=csv_headers, index=False, mode='a+', encoding='utf-8') else: data.to_csv('fileName, header=False, index=False, mode='a+', ...
csv_reader = csv.DictReader(csv_file) for row in csv_reader: # 可以通过列标题访问每个字段 # 例如:row['Name'], 依此类推 # 进行数据处理操作,例如打印特定字段的值 print(row['Name']) 使用示例 假设我们有一个CSV文件,内容如下: name, id, major ...