将列值拆分为多列熊猫/ python

Question

I am new to Python/Pandas and have a data frame with two columns one a series and another a string. I am looking to split the contents of a Column(Series) to multiple columns .Appreciate your inputs on this regard . This is my current dataframe content

    Songdetails                                         Density
0   ["'t Hof Van Commerce", "Chance", "SORETGR12AB...   4.445323
1   ["-123min.", "Try", "SOERGVA12A6D4FEC55"]           3.854437
2   ["10_000 Maniacs", "Please Forgive Us (LP Vers...   3.579846
3   ["1200 Micrograms", "ECSTACY", "SOKYOEA12AB018...   5.503980
4   ["13 Cats", "Please Give Me Something", "SOYLO...   2.964401
5   ["16 Bit Lolitas", "Tim Likes Breaks (intermez...   5.564306
6   ["23 Skidoo", "100 Dark", "SOTACCS12AB0185B85"]     5.572990
7   ["2econd Class Citizen", "For This We'll Find ...   3.756746
8   ["2tall", "Demonstration", "SOYYQZR12A8C144F9D"]    5.472524

Desired output is SONG , ARTIST , SONG ID ,DENSITY ie split song details into columns.

for eg for the sample data

           SONG DETAILS                                        DENSITY
8   ["2tall", "Demonstration", "SOYYQZR12A8C144F9D"]    5.472524

SONG   ARTIST              SONG ID               DENSITY

2tall  Demonstration    SOYYQZR12A8C144F9D         5.472524

Thanks

Answer 1

The following worked for me:

In [275]:

pd.DataFrame(data = list(df['Song details'].values), columns = ['Song', 'Artist', 'Song Id'])
Out[275]:
    Song         Artist             Song Id
0  2tall  Demonstration  SOYYQZR12A8C144F9D
1  2tall  Demonstration  SOYYQZR12A8C144F9D

For you please try: pd.DataFrame(data = list(df['Songdetails'].values), columns = ['SONG', 'ARTIST', 'SONG ID'])

Answer 2

谢谢，我在新数据框架中插入了列，并能够实现我需要的功能，谢谢df2 = pd.DataFrame（series.apply（lambda x：pd.Series（x.split（'，'） ）））df2.insert（3，'Density'，finaldf ['Density']）