Question

根据this tutorial，我想写一个csv文件。以下块的等效代码是什么？

writer = pd.ExcelWriter("my-diff-2.xlsx")
diff_output.to_excel(writer,"changed")
removed_accounts.to_excel(writer,"removed",index=False,columns=["account number", "name","street","city","state","postal code"])
added_accounts.to_excel(writer,"added",index=False,columns=["account number", "name","street","city","state","postal code"])
writer.save()

Answer 1

此块在一个excel文件中将3个DataFrame写入3张。但是csv文件没有工作表。因此，更简单的解决方案是将每个DataFrame分别写入3 csv：

diff_output.to_csv('file1.csv', index=False)
removed_accounts.to_csv('file2.csv', index=False)
added_accounts.to_csv('file3.csv', index=False)

Answer 2

您可以使用

import csv 
myData = [["first_name", "second_name", "Grade"], 
        ['Alex', 'Brian', 'A'], 
        ['Tom', 'Smith', 'B']]

myFile = open('example2.csv', 'w')
with myFile:
    writer = csv.writer(myFile)
    writer.writerows(myData)

print("Writing complete")

Answer 3

import csv
with open("my-diff-2.csv","w+") as f:
   writes = csv.writer(f)
   writes.writerow(["account number", "name","street","city","state","postal code"]) #this is header
   for lines in [["a","b"]]: # here it should be list of list
       writes.writerow(lines) # writing the data in row-wise

用Python写入CSV - 等效代码

3 个答案: