Kshitij Yadav :
I have a dataframe which is something like this:
column1 column2
1 apple,apple,apple
2 ball,ball,ball
3 cat,dog,eel
4 dog,dog,dog
5 apple,cat,eel
6 apple,ball,cat
I have a dictionary which has value against each word:
{apple:1,
ball:2,
cat:3,
dog:4,
eel:5}
I want to use this dictionary to substitute values in the dataframe and find sum of each row. How can I do that?
In the end I want something like this:
column1 column2 column3
1 apple,apple,apple 3
2 ball,ball,ball 6
3 cat,dog,eel 12
4 dog,dog,dog 12
5 apple,cat,eel 9
6 apple,ball,cat 6
YOBEN_S :
IIUC split + explode then map the value
df.column2.str.split(',').explode().map(d).sum(level=0)
Out[286]:
0 3
1 6
2 12
3 12
4 9
5 6
Name: column2, dtype: int64
df['column3']=df.column2.str.split(',').explode().map(d).sum(level=0)
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