Question

我在熊猫数据框中有这样的东西：

Name,Total,Problem
Toyota,2,'They don’t need the oil consumed per trip, only a sum of manually counted damage.'
Mazda,1,'Hello, I got an engine error. See attachment below.'
Kia,2,'Client requires a confirmation that the information provided through CODEXXXX asap.'
Volkswagon,3,'During visual inspection of lights we have found a damage.'

我对获取df['Problem']列并将其转换为文本文件感兴趣，因此文本文件的输出如下：

They don’t need the oil consumed per trip, only a sum of manually counted damage.
Hello, I got an engine error. See attachment below.
Client requires a confirmation that the information provided through CODEXXXX asap.
During visual inspection of lights we have found a damage.

我什至不需要文本文件中的索引，因为它将在文本标记应用程序中使用（并且必须以该格式输入）。即使df['Problem']中的行/元素是一个段落长字符串，也必须在文本行中位于一行中。

Answer 1

尝试以下代码：

with open('sample.txt','w') as f:
    for data in list(df['Problem']):
        f.write(data+'\n')

我希望这会有所帮助。

Answer 2

系列的tolist()方法可以在这里完成大部分工作。您可以使用join在内存中构建整个文本（如果df不太大）：

with open(file, 'w') as out:
    print('\n'.join(df['Problem'].tolist()), file=out)

或者，如果要节省内存，请逐个打印：

with open(file, 'w') as out:
    for line in df['Problem'].tolist():
        print(line, file=out)

将dataframe列转换为textfile（将行迭代为行）

2 个答案: