如何将列表中的每n个术语转换为Pandas import中的一列？

Question

I imported some data. And its just one line

 Jane  
 M  
 52,000 
 NYC 
 Mike  
 M  
 38,000 
 LA  

AND so on I have 1000 lines

how do I get it to be

Name Sex salary City 
Jane  M  52,000 NYC 
Mike  M  38,000 LA   

So every 5 lines make it a column I guess.

Thanks

Answer 1

Simply reshape .

a = df['column_name'].to_numpy().reshape(-1, 4)

Notice that 4 above means 4 columns, which looks like is what you have after your edit. Before, it looked like you had 5 columns. Just adapt to whatever you have

---

To make it a DataFrame

pd.DataFrame(a, columns=['Name', 'Sex', 'salary', 'City'])

---

Since your question is not well defined and it changed a lot after your edit, I hope the above can help being a lead on what you need

Answer 2

You need to grab every subseries of 5 elements ( iloc[] ), transform them ( .T ) and concat them.

data = pd.concat([df.iloc[s:s+4].reset_index(drop=True).T for s in range(0,len(df), 5)]).reset_index(drop=True)
data.columns = ['Name', 'Sex', 'City', 'Salary']
data['Sex'] = data['Sex'].str[0]

Output:

    Name    Sex     City    Salary
0   MiKE    M       NYC     52,000
1   MiKE    M       NYC     52,000