Divide quantities in order to get one quantity per row – python
Question:
I have a dataframe with quantities and prices. I would like to get an dataframe with same prices vs quantity but only one quantity per line.
Dataframe:
Name | qty | Price
Apple | 3 | 3.50
Avocado | 2 | 1.50
Expected Output:
Name | qty| Price
Apple | 1 | 3.50
Apple | 1 | 3.50
Apple | 1 | 3.50
Avocado | 1 | 1.50
Avocado | 1 | 1.50
honestly don’t know how to code this in a pythonic way.
Answers:
We can use df.index.repeat, then set the qty to 1 for all rows.
df = df.loc[df.index.repeat(df['qty'])].reset_index(drop=True)
df['qty'] = 1
Output:
Name qty Price
0 Apple 1 3.5
1 Apple 1 3.5
2 Apple 1 3.5
3 Avocado 1 1.5
4 Avocado 1 1.5
I have a dataframe with quantities and prices. I would like to get an dataframe with same prices vs quantity but only one quantity per line.
Dataframe:
Name | qty | Price
Apple | 3 | 3.50
Avocado | 2 | 1.50
Expected Output:
Name | qty| Price
Apple | 1 | 3.50
Apple | 1 | 3.50
Apple | 1 | 3.50
Avocado | 1 | 1.50
Avocado | 1 | 1.50
honestly don’t know how to code this in a pythonic way.
We can use df.index.repeat, then set the qty to 1 for all rows.
df = df.loc[df.index.repeat(df['qty'])].reset_index(drop=True)
df['qty'] = 1
Output:
Name qty Price
0 Apple 1 3.5
1 Apple 1 3.5
2 Apple 1 3.5
3 Avocado 1 1.5
4 Avocado 1 1.5