cumsum Questions
3
Solved
I am trying to use the pandas.cumsum() function, but in a way that ignores rows with a value in the ID column that is duplicated and specifically only adds the last value to the cumulative sum, ign...
Georgiageorgian asked 20/6 at 0:4
6
Solved
If I have a pandas.core.series.Series named ts of either 1's or NaN's like this:
3382 NaN
3381 NaN
...
3369 NaN
3368 NaN
...
15 1
10 NaN
11 1
12 1
13 1
9 NaN
8 NaN
7 NaN
6 NaN
3 NaN
4 1
5 1
2 NaN
...
4
Solved
In R, how can I calculate cumsum for a defined time period prior to the row being calculate? Prefer dplyr if possible.
For example, if the period was 10 days, then the function would achieve cum_r...
8
5
Solved
With data frame:
df <- data.frame(id = rep(1:3, each = 5)
, hour = rep(1:5, 3)
, value = sample(1:15))
I want to add a cumulative sum column that matches the id:
df
id hour value csum
1 1...
4
Solved
I have a matrix with 0s and 1s, and want to do a cumsum on each column that resets to 0 whenever a zero is observed. For example, if we have the following:
df = pd.DataFrame([[0,1],[1,1],[0,1],[1,...
5
Solved
I have a numeric vector like this x <- c(1, 23, 7, 10, 9, 2, 4) and I want to group the elements from left to right with the constrain that each group sum must not exceed 25. Thus, here the firs...
Brune asked 26/1, 2022 at 8:41
3
Solved
Let's say I have this dataframe (the "number" variable is also from character-type in the original dataframe):
df <- data.frame(
id = c(1,2,2,1,2),
number = c(30.6, "50.2/15.5&q...
2
Solved
Assuming i have the following data frame
date
flag
user
num
0
2019-01-01
1
a
10
1
2019-01-02
0
a
20
2
2019-01-03
1
b
30
3
2019-03-04
1
b
40
I want to create a cumulative sum of ...
Bounty asked 15/12, 2021 at 18:25
5
Solved
I am trying to efficiently compute a summation of a summation in Python:
WolframAlpha is able to compute it too a high n value: sum of sum.
I have two approaches: a for loop method and an np.sum m...
Blimp asked 6/11, 2021 at 14:20
4
Solved
5
Solved
If I have z = cumsum( [ 0, 1, 2, 6, 9 ] ), which gives me z = [ 0, 1, 3, 9, 18 ], how can I get back to the original array [ 0, 1, 2, 6, 9 ] ?
5
Solved
ve <- c(17, -9, 9, -17, 17, -17, 11, -9, 16, -18, 17, 0, 0, -18, 17, 0, 0, -17, 14, -14, 17, -2, 0, -15, 9, -9, 17, -16, 16, -17, 17, -17, 17, -17, 17, -17, 17, -8, 7, -16, 17, -14, 14, -10, 10,...
Tritheism asked 13/6, 2017 at 3:52
5
3
Solved
I have a matrix like
A= [ 1 2 4
2 3 1
3 1 2 ]
and I would like to calculate its cumulative sum by row and by column, that is, I want the result to be
B = [ 1 3 7
3 8 13
6 12 19 ]
Any id...
Augean asked 22/11, 2012 at 20:42
2
This outstanding post illustrates quite clearly how to use the pandas cumsum() DataFrame method to build a 3D tensor containing a column with lists of lists whose dimensions make them suitable to b...
Beriberi asked 30/1, 2019 at 3:32
2
Solved
I'm trying to calculate the cumsum starting from the last row towards the first for each group.
Sample data:
t1 <- data.frame(var = "a", val = c(0,0,0,0,1,0,0,0,0,1,0,0,0,0,0))
t2 <- data.f...
3
Solved
I am working with pandas, but I don't have so much experience. I have the following DataFrame:
A
0 NaN
1 0.00
2 0.00
3 3.33
4 10.21
5 6.67
6 7.00
7 8.27
8 6.07
9 2.17
10 3.38
11 2.48
12 2.08
13 6...
2
Solved
I am starting to enjoy dplyr but I got stuck on a use case. I want to be able to apply cumsum per group in a dataframe with the package but I can't seem to get it right.
For a demo dataframe I've...
2
Solved
I have a vector like
v <- c(76, 31, 33, 7)
and need to calculate its 'cumulative difference' resulting in
cumdiff <- c(45, 12, 5)
which is 76 - 31 = 45 and 45 - 33 = 12 and 12 - 7 = 5.
...
Arsenide asked 1/6, 2020 at 8:9
2
Solved
(This is a follow up question to my previous question which was answered correctly).
Say I have the following dataframe
import pandas as pd
df = pd.DataFrame()
df['E'] = ('SIT','SCLOSE', 'SHODL'...
Tanbark asked 19/3, 2020 at 5:37
4
Solved
I have a dataframe as follows. It is ordered by column time.
Input -
df = data.frame(time = 1:20,
grp = sort(rep(1:5,4)),
var1 = rep(c('A','B'),10)
)
head(df,10)
time grp var1
1 1 1 A
2 2 ...
3
Solved
Can anyone recommend a way to do a reverse cumulative sum on a numpy array?
Where 'reverse cumulative sum' is defined as below (I welcome any corrections on the name for this procedure):
if
x = ...
2
Solved
I have a column in Pandas which contains booleans and want to count thr rows since the last True value, something like this:
a b
False 0
True 0
False 1
False 2
False 3
True 0
False 1
True 0
I ...
6
Solved
Here's the tweak to my previously posted question. Here's my data:
set.seed(3737)
DF2 = data.frame(user_id = c(rep(27, 7), rep(11, 7)),
date = as.Date(rep(c('2016-01-01', '2016-01-03', '2016-01-0...
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