How to split data inside list into individual separate columns using pandas

I want to split data inside Names into individual separate columns using pandas

import pandas as pd

name_dict = {
            'Name': ['a|b|c|d|e']
          }

df = pd.DataFrame(name_dict)

print (df)

>Solution :

You can use str.split() to split value by |, as follows:

import pandas as pd

name_dict = {
    'Name': ['a|b|c|d|e']
}

df = pd.DataFrame(name_dict)
print(df)
#        Name
#0  a|b|c|d|e

df = df['Name'].str.split('|', expand=True)
print(df)
#   0  1  2  3  4
#0  a  b  c  d  e

# to change column names
df = df.rename(
    columns={
        0: 'a',
        1: 'b',
        2: 'c',
        3: 'd',
        4: 'e',
    }
)
print(df)
#   a  b  c  d  e
#0  a  b  c  d  e

For more information, such as advanced options, please refer to https://pandas.pydata.org/docs/reference/api/pandas.Series.str.split.html