如何解决如何使用grepl搜索字符串中的最大和最小计时？
我有一个数据集，该数据集的列包含各种商店的营业时间和营业时间。 时间采用字符串格式开启时间-关闭时间， 例如：17：00-21:00 | 11:30-14:30 | 11:30-14:30
我想提取上述字符串中的最小打开时间（即11:30）和最大关闭时间（即21:00），如何使用R做到这一点？
DPUT：
structure(list(head.timings_remapping.Opening.And.Closing.Time..40. = c("15:30 - 21:30","12:00 - 00:00","11:00 - 15:00 | 16:30 - 20:45","12:00 - 22:30","17:00 - 21:30","16:30 - 00:00","16:00 - 21:15","16:30 - 20:30","17:00 - 20:00","16:00 - 23:30","16:30 - 21:30","17:00 - 22:00","16:00 - 00:00","16:30 - 23:59","11:30 - 22:30","11:30 - 23:59","17:00 - 20:30","07:30 - 12:50","16:15 - 23:00","09:00 - 21:00","10:00 - 21:00","11:00 - 22:00","07:00 - 12:00 | 07:00 - 13:30 | 12:00 - 13:30","07:00 - 13:00 | 10:00 - 15:00","10:00 - 02:00","00:00 - 23:59","11:00 - 20:00",NA,"12:00 - 03:30 | 11:00 - 00:00","05:30 - 15:00","07:00 - 16:00","08:30 - 13:30","17:00 - 21:00 | 11:30 - 14:30 | 11:30 - 14:30","12:00 - 01:00")),class = "data.frame",row.names = c(NA,-40L
))
最终输出将有两列“开放时间”和“结束时间”
解决方法
这项工作：
library(dplyr)
library(tidyr)
df %>%
separate(col = head.timings_remapping.Opening.And.Closing.Time..40.,into = c('Open_Close','A'),sep = '\\|') %>%
separate(col = Open_Close,into = c('Opening Time','Closing Time'),sep = ' - ') %>%
mutate(`Opening Time` = trimws(`Opening Time`),`Closing Time` = trimws(`Closing Time`)) %>% select(-A)
Opening Time Closing Time
1 15:30 21:30
2 12:00 00:00
3 11:00 15:00
4 12:00 22:30
5 17:00 21:30
6 17:00 21:30
7 16:30 00:00
8 16:00 21:15
9 16:30 20:30
10 17:00 20:00
11 16:00 23:30
12 16:30 21:30
13 17:00 22:00
14 17:00 22:00
15 17:00 21:30
16 17:00 21:30
17 16:00 00:00
18 16:30 23:59
19 11:30 22:30
20 11:30 23:59
21 17:00 20:30
22 07:30 12:50
23 16:15 23:00
24 09:00 21:00
25 10:00 21:00
26 11:00 22:00
27 07:00 12:00
28 07:00 13:00
29 10:00 02:00
30 00:00 23:59
31 00:00 23:59
32 11:00 20:00
33 11:00 20:00
34 <NA> <NA>
35 12:00 03:30
36 05:30 15:00
37 07:00 16:00
38 08:30 13:30
39 17:00 21:00
40 12:00 01:00
使用dplyr和tidyr库，您可以执行以下操作：
library(dplyr)
library(tidyr)
#Rename the long column name to something smaller
names(df)[1] <- 'Time'
df %>%
#Create a row index
mutate(row = row_number()) %>%
#Split the data in different rows on '|'
separate_rows(Time,sep = '\\s*\\|\\s*') %>%
#split the data on '-'
separate(Time,c("Opening_Time","Closing_time"),sep = '\\s*-\\s*') %>%
#Change the time to POSIXct format
mutate(across(c(Opening_Time,Closing_time),as.POSIXct,format = '%H:%M')) %>%
#For each row
group_by(row) %>%
#Get minimum opening time and maximum closing time
#and change into required format
summarise(Opening_Time = format(min(Opening_Time),"%H:%M"),Closing_time = format(max(Closing_time),"%H:%M")) %>%
#Drop row column
select(-row)
这将返回
# Opening_Time Closing_time
# <chr> <chr>
# 1 15:30 21:30
# 2 12:00 00:00
# 3 11:00 20:45
# 4 12:00 22:30
# 5 17:00 21:30
# 6 17:00 21:30
# 7 16:30 00:00
# 8 16:00 21:15
# 9 16:30 20:30
#10 17:00 20:00
# … with 30 more rows
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