如何删除 pandas dataframe 中的分隔符列

Question

I have the following dataset in.csv file

when i read the file i get something like this

df = pd.read_csv("xxx.csv",dtype = str ,header = None, encoding='utf-8')
df.head()
0   1   2   3   4   5  6 
63  |   ssd |   23  | 4kj
63  |   ssd |   30  | 4rc
63  |   ssd |   900 | 4rt
63  |   ssd |   100 | Bqa
63  |   ssd |   140 | 8er
63  |   ssd |   10  | 8df
63  |   ssd |   40  | Bfr

As in the above dataframe 0,1,2,3,4,5,6. when i read the XXX.csv file i just need the column with the information i don't want the column with the delimiter.

expected output

    0    1   2  3
    63  ssd 23  4kj
    63  ssd 30  4rc
    63  ssd 900 4rt
    63  ssd 100 Bqa
    63  ssd 140 8er
    63  ssd 10  8df
    63  ssd 40  Bfr

How can i get this while reading XXX.csv file

I don't want to use df = df.drop('column_name', 1) as my data will be dynamic.

I want to get rid of delimiter column while reading XXX.csv file.

Please help on this regard.

Answer 1

have you try this. ?

import pandas as pd

df = pd.read_table('file.csv', delimiter='|')

df = pd.read_csv('file.csv', sep='|')