将数据从一列分为三列

Question

I have a column in an excel which contains a mix of First Names, Last Names and Job titles. Only pattern that can be observed is - in each set of 3 rows, every 1st row is first name, 2nd row is last name and 3rd row is job title. I want to create 3 different columns and and segregate this data Sample data:

John
Bush
Manager
Katrina
Cohn
Secretary 

I want: John , Bush , Manager as one row going in three different columns under First Name, Last name and Job title respectively. Like -

First Name   Last Name    Job Title
John         Bush         Manager
Katrina      Cohn         Secretary 

How can we achieve this task?

Answer 1

You can use this notation to get every third element with different starting points.

l = ['John', 'Bush', 'Manager', 'Katrina', 'Cohn', 'Secretary']

pd.DataFrame({'First Name': l[::3], 'Last Name': l[1::3], 'Job Title': l[2::3]})

outputs

  First Name  Job Title Last Name
0       John    Manager      Bush
1    Katrina  Secretary      Cohn

Answer 2

s = pd.Series([
        'John',
        'Bush',
        'Manager',
        'Katrina',
        'Cohn',
        'Secretary'])

df = pd.DataFrame(s.values.reshape(-1, 3),
                  columns=['First Name', 'Last Name', 'Job Title'])

df

---

If your length of your data isn't a multiple of 3 then you can force it like this:

s = pd.Series([
        'John',
        'Bush',
        'Manager',
        'Katrina',
        'Cohn',
        'Secretary',
        'Bogus'])

s_ = s.iloc[:s.shape[0] // 3 * 3]
df = pd.DataFrame(s_.values.reshape(-1, 3), columns=['First Name', 'Last Name', 'Job Title'])

df