如何用逗号在CSV中给逗号分隔的值添加一个新列？

Question

I'm setting up a new tool, and want to support my professor to extract topics of relevant patent data. I have used pandas to create a csv-file with the output of the analyzing tool. Actually, I have this code:

import textrazor

textrazor.api_key= 'b033067632dba8a710c57f088115ad4eeff22142629bb1c07c780a10'

csv_contents = open('Patentdaten1.csv').read()

client = textrazor.TextRazor(extractors=['topics', 'entities'])

response = client.analyze(csv_contents)

topics =set()

relevance =set()

topics1= list(response.topics())

topics1.sort (key=lambda x:x.score, reverse=True)

for topic in response.topics():
    if topic.score > 0.5:
        if topic.label not in topics:
            topics.add(topic.label)
            relevance.add(topic.score)

import pandas as pd

df = pd.DataFrame({'topic' : [topics]})

df.to_csv('Test.csv', sep=';')

I expect to get a csv-file where the topic labels are listed under the header "topic". It should look like this:

; topic

0; Machine

1; Stairs

2; xxx

3; yyy

[...]

But the actual output is a csv-file where all topics are listed in one big column, like this:

; topic

0; 'Machine', 'Stairs', 'xxx', 'yyy'

1; 'Machine', 'Stairs', 'xxx', 'yyy'

2; 'Machine', 'Stairs', 'xxx', 'yyy'

3; 'Machine', 'Stairs', 'xxx', 'yyy'

[...]

I'm thankful for your answers!

Answer 1

您需要将转换集列出并删除[] ：

df = pd.DataFrame({'topic' : list(topics)})