Question

我有一个列表列表，如下所示：

L = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]

我要将其保存为csv文件，如下所示：

index, name, lists

0, 'name1', [1, 2, 3]
1, 'name2', [4, 5, 6]
2, 'name3', [7, 8, 9]

如果可能的话，那我应该如何用python做到这一点？

Answer 1

如果您为csv.writer保留默认kwarg，它将识别出列表的字符串表示形式中包含逗号，并自动为您引用。

import csv
with open('filename.csv', 'w') as f:
   L = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]
   fieldnames = ['index', 'name', 'lists']
   writer = csv.writer(f)
   writer.writerow(fieldnames)
   for i, row in enumerate(L):
       writer.writerow([str(i), 'name{}'.format(i), row])

如果您看到filename.csv，将会得到

index,name,lists
0,name_0,"[1, 2, 3]"
1,name_1,"[4, 5, 6]"
2,name_2,"[7, 8, 9]"

Answer 2

您可以使用Pandas将数据组合到数据框中并轻松将其输出为CSV文件：

import pandas as pd

L = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]
name = ['name1', 'name2', 'name3']

df = pd.DataFrame({'name': name, 'lists': L})
print(df)

df.to_csv('file.csv', index_label='index')

    name      lists
0  name1  [1, 2, 3]
1  name2  [4, 5, 6]
2  name3  [7, 8, 9]

Answer 3

工作表中只有3行，对吗？如果是这样，Pandas.DataFrame将非常适合此问题。

#import pandas moudle first
import pandas as pd  


#If you want to add `index` as the column name
index=[0,1,2]
name =['name 0','name 1','name 2']
#This is your original list in Python
L = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]

#Using pd.DataFrame function to reformat the list into table
#Name the first column as 'index', the second column as 'name', and the last column as'lists'

table = pd.DataFrame({'index':index,
                      'name':name,
                      'lists':L})

#Write DataFrame to a comma-separated values (csv) file
table.to_csv('L.csv', index=False)

如果您尝试打印结果，它将显示如下（对不起，我不知道如何正确嵌入表格）

<table>
  <tr>
    <td></td>
    <td>index</td>
    <td>name</td>
    <td>list</td>
  </tr>
  <tr>
    <td>0</td>
    <td>0</td>
    <td>name 1</td>
    <td>[1, 2, 3]</td>
  </tr>
  <tr>
    <td>1</td>
    <td>1</td>
    <td>name 2</td>
    <td>[4, 5, 6]</td>
  </tr>
  <tr>
    <td>1</td>
    <td>1</td>
    <td>name 3</td>
    <td>[7, 8, 9]</td>
  </tr>
</table>

将列表列表另存为csv文件python中的行

3 个答案: