Extracting information from a string and converting that to a column for further use in python pandas

Question

This is the dataset that I'm working on

Sr. No. Product                Rate Offered
0   1   Beige Glossy                 100
1   2   BLACK TEXTURE                100
2   3   New Black Matt               100
3   4   PP Euro Grey Satin           100
4   5   PP Light Grey S/g (AAH)      100

I want extract features out of the Product column
Like the PP in 4th and 5th row is Pure Polyester Chemistry

I was able to break the string with new = data["Product"].str.split(" ", n = 5, expand = True)
And I get some thing like this

       0      1       2      3       4
0   Beige   Glossy  None    None    None
1   BLACK  TEXTURE  None    None    None
2   New     Black   Matt    None    None
3   PP      Euro    Grey    Satin   None
4   PP      Light   Grey    S/g    (AAH)

I also gave the names to these new columns with this new.columns =['First','Second','Third','Fourth','Fifth']

    First  Second   Third   Fourth  Fifth
0   Beige   Glossy  None    None    None
1   BLACK   TEXTURE None    None    None

So I want to make a new column like this.So I use
filter = new.First=='PP' new.insert(5,"Chemistry","PP") new.where(filter,inplace=True) new

    First Second Third Fourth Fifth Chemistry
0   NaN   NaN    NaN   NaN    NaN   NaN
1   NaN   NaN    NaN   NaN    NaN   NaN
2   NaN   NaN    NaN   NaN    NaN   NaN
3   PP    Euro   Grey  Satin  None  PP
4   PP    Light  Grey  S/g   (AAH)  PP

This kills all the other rows which are not PP