Can’t get substring from strings. Help needed

I have a column that contains string like

'ID=1,Name=GDNDL380F4,Type=FTT-87, Value=GDNDL380F4,Registration Info: Sn = GDNDL380F4, Service Level=Service Level Disabled'

|Column               
|'ID=1,Name=GDNDL380F4,Type=FTT-87, Value=GDNDL380F4,Registration Info: Sn = GDNDL380F4, Service Level=Service Level Disabled'|  
|'ID=1,Name=GDNDL4040F4,Type=FTT-87, Value=GDNDL4040F4,Registration Info: Sn = GDNDL380F4, Service Level=Service Level Disabled'|  
|'ID=1,Name=GDNDL380F5,Type=FTT-87, Value=GDNDL380F5,Registration Info: Sn = GDNDL380F4, Service Level=Service Level Disabled'|     

Expected Output:

Name       |  Type  |  
GDNDL380F4 |FTT-87  |  
GDNDL4040F4|FTT-87  | 
GDNDL380F5 |FTT-87  | 

What I need is to get the substring (GDNDL380F4) after Name= to column Name and substring (FTT-87) after Type= to column Type.

I tried different approaches with str.extract, find and re.find but for some reason I get wrong result (nan or an empty array). So help is needed.

Answer

Make a dictionary from the string and get the items by key

s = 'ID=1,Name=GDNDL380F4,Type=FTT-87, Value=GDNDL380F4,Registration Info: Sn = GDNDL380F4, Service Level=Service Level Disabled'
d = dict(item.split("=") for item in s.split(","))
print(d['Name']) # GDNDL380F4
print(d['Type']) # FTT-87

Pandas solution:

df1=pd.DataFrame([dict(y.split("=") for y in x.strip("' ").split(",")) for x in df['Column']], 
                  index=df.index)
print (df1)
  ID         Name    Type        Value Registration Info: Sn   
0  1   GDNDL380F4  FTT-87   GDNDL380F4             GDNDL380F4   
1  1  GDNDL4040F4  FTT-87  GDNDL4040F4             GDNDL380F4   
2  1   GDNDL380F5  FTT-87   GDNDL380F5             GDNDL380F4   

            Service Level  
0  Service Level Disabled  
1  Service Level Disabled  
2  Service Level Disabled