Objective
I have a dataset, df, that I would like to group the length column, take its sum, and display the endtime that's associated with it:
length start end duration
6330 12/17/2019 10:34:23 AM 12/17/2019 10:34:31 AM 8
57770 12/19/2019 5:19:56 PM 12/17/2019 5:24:19 PM 263
6330 12/17/2019 10:34:54 AM 12/17/2019 10:35:00 AM 6
6330 12/18/2019 4:36:44 PM 12/18/2019 4:37:13 PM 29
57770 12/19/2019 5:24:47 PM 12/19/2019 5:26:44 PM 117
Desired Output
length end total Duration
6330 12/18/2019 4:37:13 PM 43
57770 12/19/2019 5:26:44 PM 380
Dput
structure(list(length = c(6330L, 57770L, 6330L, 6330L, 57770L
), start = structure(c(1L, 4L, 2L, 3L, 5L), .Label = c("12/17/2019 10:34:23 AM",
"12/17/2019 10:34:54 AM", "12/18/2019 4:36:44 PM", "12/19/2019 5:19:56 PM",
"12/19/2019 5:24:47 PM"), class = "factor"), end = structure(c(1L,
3L, 2L, 4L, 5L), .Label = c("12/17/2019 10:34:31 AM", "12/17/2019 10:35:00 AM",
"12/17/2019 5:24:19 PM", "12/18/2019 4:37:13 PM", "12/19/2019 5:26:44 PM"
), class = "factor"), duration = c(8L, 263L, 6L, 29L, 117L)), class = "data.frame", row.names = c(NA,
-5L))
This is what I have tried:, but how do I also display the end column that's associated with the 'latest' length value? For instance, length, 6330 has 3 end values, with 3 durations attached to it:
12/17/2019 10:34:31 AM 8
12/17/2019 10:35:00 AM 6
12/18/2019 4:37:13 PM 29
12/18/2019 4:37:13 PM is the latest end time, so I would like to output the end time,
along with the sum of durations for this particular length value.
Desired Output
length end total Duration
6330 12/18/2019 4:37:13 PM 43
57770 12/19/2019 5:26:44 PM 380
This is what I have tried:
import pandas as pd
import numpy as np
df1 = df.groupby('length')['duration'].sum()
However, it only outputs the length and total duration. How would I output the length, the latest end as well as the total duration for that particular length?
Any help is appreciated.
In R
, we can group by 'length', use summarise
and get the sum
of 'duration' and extract the max
element of 'end' after converting to DateTime class with mdy_hms
(from lubridate
)
library(dplyr)
library(lubridate)
df %>%
group_by(length) %>%
summarise(duration = sum(duration), end = end[which.max(mdy_hms(end))])