Trim dataframe by total of column
Question:
Let’s say that I have a data frame with a column named subtotal, and I want to extract a sub-data frame with a maximum sum of all subtotal
l = [100, 200, 300, 400, 500]
df = pd.DataFrame(l)
Here, I want to get a df with maximum value of 1000, in this case, should return [100, 200, 300, 400]
How can I do this using panda?
Answers:
here is one way to do it
#take cumsum and choose only rows that are at or below the threshold
df.loc[df[0].cumsum()<=1000]
0
0 100
1 200
2 300
3 400
Let’s say that I have a data frame with a column named subtotal, and I want to extract a sub-data frame with a maximum sum of all subtotal
l = [100, 200, 300, 400, 500]
df = pd.DataFrame(l)
Here, I want to get a df with maximum value of 1000, in this case, should return [100, 200, 300, 400]
How can I do this using panda?
here is one way to do it
#take cumsum and choose only rows that are at or below the threshold
df.loc[df[0].cumsum()<=1000]
0
0 100
1 200
2 300
3 400