从 csv 文件中分离出多行的 Column，并在 Python 中对它们进行排序

Question

I have a csv file where I need to find the best Team according to their best 11 Players with Python. My Problem is the Column with the Player Name and the Team is in the same Box separated with 1 l empty line. If I open the.csv file it looks like this:

,Rating_x,Player,Rating_y,
8.32,"Didier Drogba

Chelsea, 42, FW",7.55

How can I create this.csv into this:

,Rating_x,Player,Team,Age,Position,Rating_y,
8.32,Didier Drogba,Chelsea, 42, FW,7.55

So I can order them to their teams and make a General Ranking.

Answer 1

I guess you want a comma-separated list to be converted into cells in a column? Follow the steps below (From: https://www.adinstruments.com/support/knowledge-base/how-can-comma-separated-list-be-converted-cells-column-lt )

1. Highlight the column that contains your list.
2. Go to Data > Text to Columns.
3. Choose Delimited. Click Next.
4. Choose Comma. Click Next.
5. Choose General or Text, whichever you prefer.
6. Leave Destination as is, or choose another column. Click Finish.

With python:

series.str.split(',', expand=True)

Answer 2

I have done this by doing:

import pandas as pd
enter code here
df[['Name','TAP']] = df.Player.str.split("\n\n", expand=True)
del df['Unnamed: 0']
del df['Player']
df[['Team','AGE','POS']] = df.TAP.str.split(", ", expand=True)
del df['TAP']