tf-idf on pandas DataFrame

Question

I am trying to implement tf-idf without using sklearn and similar packages. Can someone help me convert values in a DataFrame to a list of blob objects?

I have a DataFrame with one column- "Text" and I want a bloblist as [TextBlob(Text1),TextBlob(Text2),...,TextBlob(Textn)] [find image here] 1

I tried: bloblist=TextBlob(str(df["text"].values)) but this gives me just one list like TextBlob(0 Text1,0 Text2,...0 Textn)

Is there a way to eliminate these preceding 0's...or is there a better way

Could someone please point out where I am wrong.

Answer 1

这与计算tf-idf值无关，但是这是一种获取TextBlob对象列表的TextBlob 。

[TextBlob(t) for t in df.text.values]