[英]R - add date to time from different column or add extra day if the time goes across midnight
我在這里找不到任何東西,因此我的問題。 由於數據或丟失數據,我需要操作一列以將日期放入時間列中。
我有一個數據框,其中包含 EVENT_START_DTTM 的日期和時間,以及 EVENT_END_TM 的時間。 我的邏輯是,如果: - (EVENT_START_DTTM <= EVENT_END_TM 然后是同一天) - (EVENT_START_DTTM > EVENT_END_TM 然后是午夜,我需要在日期中添加一天)
EVENT_START_DTTM EVENT_END_TM
2020-01-03 09:34:13 10:33:37
2020-01-03 07:57:24 23:04:38
2019-12-04 23:42:40 03:38:33
2019-12-04 22:33:33 00:07:13
另外,我想以分鍾為單位計算差異,期望的結果是:
EVENT_START_DTTM EVENT_END_DTTM Difference_min
2020-01-03 09:34:13 2020-01-03 10:33:37 59
2020-01-03 07:57:24 2020-01-03 23:04:38 907
2019-12-04 23:42:40 2019-12-05 03:38:33 237
2019-12-04 22:33:33 2019-12-05 00:07:13 95
下面是我的代碼
library(data.table)
library(lubridate)
EVENT_START_DTTM <- c("2020-01-03 09:34:13", "2020-01-03 07:57:24","2019-12-04 23:42:40", "2019-12-04 22:33:33")
EVENT_END_DTTM <- c("2020-01-03 10:33:3", "2020-01-03 23:04:38","2019-12-05 03:38:33", "2019-12-05 00:07:13")
df_dttm <- data.frame(as.POSIXct(EVENT_START_DTTM), as.POSIXct(EVENT_END_DTTM ))
setnames(df_dttm, c("EVENT_START_DTTM","EVENT_END_DTTM") )
您可以使用within()
和數學。 要比較建議的小時數,請使用substr()
。
d <- within(d, {
EVENT_START_DTTM=as.POSIXct(EVENT_START_DTTM)
EVENT_END_TM=as.POSIXct(paste(substr(EVENT_START_DTTM, 1, 10), EVENT_END_TM)) +
(as.numeric(substr(d[, 1], 12, 13)) > as.numeric(substr(d[, 2], 1, 2)))^1*24*60*60
Difference_min <- EVENT_END_TM - EVENT_START_DTTM
})
d
# EVENT_START_DTTM EVENT_END_TM Difference_min
# 1 2020-01-03 09:34:13 2020-01-03 10:33:37 59.40000 mins
# 2 2020-01-03 07:57:24 2020-01-03 23:04:38 907.23333 mins
# 3 2019-12-04 23:42:40 2019-12-05 03:38:33 235.88333 mins
# 4 2019-12-04 22:33:33 2019-12-05 00:07:13 93.66667 mins
數據:
d <- structure(list(EVENT_START_DTTM = structure(4:1, .Label = c("2019-12-04 22:33:33",
"2019-12-04 23:42:40", "2020-01-03 07:57:24", "2020-01-03 09:34:13"
), class = "factor"), EVENT_END_TM = structure(c(3L, 4L, 2L,
1L), .Label = c("00:07:13", "03:38:33", "10:33:37", "23:04:38"
), class = "factor")), class = "data.frame", row.names = c(NA,
-4L))
您可以通過在 dplyr 中使用 mutate 函數並格式化日期時間來做到這一點
library(data.table)
library(lubridate)
library(dplyr)
# Creating dataframe
EVENT_START_DTTM <- c("2020-01-03 09:34:13", "2020-01-03 07:57:24",
"2019-12-04 23:42:40", "2019-12-04 22:33:33")
EVENT_END_DTTM <- c("10:33:3", "23:04:38",
"03:38:33", "00:07:13")
df_dttm <- data.frame(as.POSIXct(EVENT_START_DTTM), EVENT_END_DTTM, stringsAsFactors = FALSE)
setnames(df_dttm, c("EVENT_START_DTTM","EVENT_END_DTTM") )
result <-
df_dttm %>%
mutate(start_date = ymd(as.Date(EVENT_START_DTTM)),
start_time = format(strptime(EVENT_START_DTTM, "%Y-%m-%d %H:%M:%S"), "%H:%M:%S")) %>%
rowwise() %>%
mutate(end_date =
if_else(difftime(as.POSIXct(start_time, format = "%H:%M:%S"),
as.POSIXct(EVENT_END_DTTM, format = "%H:%M:%S"),
tz = "", units = "mins") < 0,
start_date, start_date + 1)) %>%
ungroup() %>%
mutate(EVENT_END_DTTM = as.POSIXct(paste(end_date, EVENT_END_DTTM)),
Difference_min = round(difftime(EVENT_END_DTTM, EVENT_START_DTTM, units="mins"), 0))
result
# # A tibble: 4 x 6
# EVENT_START_DTTM EVENT_END_DTTM start_date start_time end_date Difference_min
# <dttm> <dttm> <date> <chr> <date> <drtn>
# 2020-01-03 09:34:13 2020-01-03 10:33:03 2020-01-03 09:34:13 2020-01-03 59 mins
# 2020-01-03 07:57:24 2020-01-03 23:04:38 2020-01-03 07:57:24 2020-01-03 907 mins
# 2019-12-04 23:42:40 2019-12-05 03:38:33 2019-12-04 23:42:40 2019-12-05 236 mins
# 2019-12-04 22:33:33 2019-12-05 00:07:13 2019-12-04 22:33:33 2019-12-05 94 mins
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