Cumulative sum and percentage on column?

Question

I have a DataFrame like this:

df:

 fruit    val1 val2
0 orange    15    3
1 apple     10   13
2 mango     5    5

How do I get Pandas to give me a cumulative sum and percentage column on only val1?

Desired output:

df_with_cumsum:

 fruit    val1 val2   cum_sum    cum_perc
0 orange    15    3    15          50.00
1 apple     10   13    25          83.33
2 mango     5    5     30          100.00

I tried df.cumsum(), but it’s giving me this error:

TypeError: ufunc ‘isnan’ not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ”safe”

Asked By: ComputerFellow

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Source

Answer 1

df['cum_sum'] = df['val1'].cumsum()
df['cum_perc'] = 100*df['cum_sum']/df['val1'].sum()

This will add the columns to df. If you want a copy, copy df first and then do these operations on the copy.

Answered By: BrenBarn

Answer 2

It’s a good answer, but written in 2014.
I just modified a little bit, so it can pass the compiler and results looks similar to the example.

df['cum_sum'] = df["val1"].cumsum()
df['cum_perc'] = round(100*df.cum_sum/df["val1"].sum(),2)

Answered By: Gene

Answer 3

The above answer is good, but out of date. I have updated it so that it works.

df[‘cum_sum’] = df[‘val1’].cumsum()

df[‘cum_perc’] = round((df.cum_sum/df[‘val1’].sum())*100,2)

Answered By: ASi

Cumulative sum and percentage on column?

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