从文本文件Pandas中读取列

Question

I have a large .txt file (many GB) in the the format:

|Column1|Column2|Column3|Column4
|"text"|"text"|"text"|"text"
|"text"|"text"|"text"|"text"

I would like to read this data straight into a pandas dataframe. Is this possible with a pandas command eg

df = pd.read_XXX()

If not with pandas, can someone advise on how to read in a file of this type? I am not familiar with this format.

Answer 1

Use .pd.read_csv like this

df = pd.read_csv('untitled.txt', sep = '|')

Answer 2

You are dealing with a csv file (comma seperated value).

You read this file in pandas with:

df = pd.read_csv('filename.txt', sep='|')