I have two dataframes and I want to accumulate the value of one of the dataframes in the other. How can I do it?
Dataframe 1:
| Product | Amount | Price | Total |
|---|---|---|---|
| A | 1 | 12.0 | 15 |
| B | 4 | 20.0 | 15 |
| C | 2 | 4.0 | 15 |
| D | 5 | 30.0 | 15 |
Dataframe 2:
| Product | Amount | Price |
|---|---|---|
| B | 3 | 20.0 |
| C | 2 | 4.0 |
Result:
| Product | Amount | Price | Total |
|---|---|---|---|
| A | 1 | 12.0 | 15 |
| B | 7 | 20.0 | 15 |
| C | 4 | 4.0 | 15 |
| D | 5 | 30.0 | 15 |
Thanks!
CodePudding user response：
Use concat with aggregate sum - necessary all numeric columns without Product:
df = pd.concat([df1, df2]).groupby('Product', as_index=False).sum()
print (df)
Product Amount Price Total
0 A 1 12.0 15.0
1 B 7 40.0 15.0
2 C 4 8.0 15.0
3 D 5 30.0 15.0