Reputation: 103
Assuming I have a dataframe like the following:
df1
Products Cost
0 rice 12
1 beans 15
2 eggs 17
3 Tomatoes 5
And I have another dataframe with the same headers but that has a certain number which causes the quantity of numbers to become "a" letters. Exemplifying.
df2
Header quantity
0 Products 2
1 Cost 1
Which should give me a result like this:
df3
Products Cost
0 riaa 1a
1 beaaa 1a
2 egaa 1a
3 Tomatoaa NaN
How should this case be resolved? I do not know if the "replace" method works
Upvotes: 2
Views: 44
Reputation: 323326
Using map
, after create the mapdict
d={x:x[:-y]+'a'*y for x, y in zip(df2.Header,df2.quantity)}
df1.Products=df1.Products.map(d)
df1
Out[863]:
Products Cost
0 riaa 12
1 beaaa 3
2 egaa 2
3 Tomaaaaa 11
Upvotes: 2