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...
write_excel_file("D:\core\\") 第三种,使用pandas,可以写入到csv或者xlsx格式文件 1 2 3 4 5 6 import pandas as pd result_list = [['1', 1, 1], ['2', 2, 2], ['3', 3, 3]] columns = ["URL", "predict", "score"] dt = pd.DataFrame(result_list, columns=columns) dt.t...
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=False, index=False, mode='a+', encoding='utf-8')...
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...
import csv #python2可以用file替代open with open("test.csv","w") as csvfile: writer = csv.writer(csvfile) #先写入columns_name #写入多行用writerows writer.writerows([["index","a_name","b_name"],[0,1,3],[1,2,3],[2,3,4]]) ...
# 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+', ...
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)): ...
Example 1: Write into CSV files with csv.writer() Suppose we want to write a CSV file with the following entries: SN,Name,Contribution 1,Linus Torvalds,Linux Kernel 2,Tim Berners-Lee,World Wide Web 3,Guido van Rossum,Python Programming ...
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...
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...