第一种:使用csv模块,写入到csv格式文件 # -*- coding: utf-8 -*- importcsvwith 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: writer...
writer.writerow(['Name','Age','City']) 1. 可以多次调用writerow方法写入多行数据: writer.writerow(['John Doe',30,'New York'])writer.writerow(['Jane Smith',25,'San Francisco']) 1. 2. 下面是一个完整的例子,演示如何使用csv模块将数据写入CSV文件: importcsv data=[['Name','Age','City...
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...
writer.writerow({'书名':book['title'],'作者':book['author']}) exceptUnicodeEncodeError: print("编码错误, 该数据无法写到文件中, 直接忽略该数据") 这种方式是逐行往 CSV 文件中写数据, 所以效率会比较低。如果想批量将数据写到 CSV 文件中,需要用到pandas库。...
defreadFromCSVByPandas(fileName)->'返回字典类型': df=pd.read_csv(fileName,sep=',',encoding="utf_8_sig") dict_tmp=dict(zip(df.values[:,0],df.values[:,1])) foritemindict_tmp.items(): print(item) returndict_tmp defwriteToCSVByCsv(fileName)->'保存字典类型到csv格式文件': ...
write=csv.DictWriter(csvfile, fieldnames=headers) # 写入表头 write.writeheader() # 写入数据 write.writerow({'语文':80,'高数':90,'英语':20,'爬虫':98,'python':89}) write.writerow({'语文':84,'高数':80,'英语':60,'爬虫':79,'python':91}) ...
其次,调用 writer() 函数创建一个 CSV writer 对象。 然后,利用 CSV writer 对象的 writerow() 或者 writerows() 方法将数据写入文件。 最后,关闭文件。 以下代码实现了上面的步骤: import csv # open the file in the write mode f = open('path/to/csv_file', 'w') ...
但是我不确定现在如何正确地将每一行写入CSV 编辑--->感谢您所提供的反馈,该解决方案非常简单,可以在下面看到。 解: import StringIO s = StringIO.StringIO(text) with open('fileName.csv', 'w') as f: for line in s: f.write(line)
import csv data = [ ['Name', 'Age', 'City'], ['John', 28, 'New York'], ['Alice', 35, 'Chicago'], ['Bob', 42, 'Los Angeles'] ] filename = 'data.csv' with open(filename, 'w', newline='') as csvfile: writer = csv.writer(csvfile) writer.writerows(data) print('Da...
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 writer.writerow(["index","a_name","b_name"]) #写入多行用writerows writer.writerows([[0,1,3],[1,2,3],[2,3,4]]) ...