r - 完整的数据框,缺少多个参数的日期范围
问题描述
我有以下数据框:
Date_from <- c("2013-02-01","2013-05-10","2013-08-13","2013-02-01","2013-05-10","2013-08-13","2013-02-01","2013-05-10","2013-08-13")
Date_to <- c("2013-05-07","2013-08-12","2013-11-18","2013-05-07","2013-08-12","2013-11-18","2013-05-07","2013-08-12","2013-11-18")
y <- data.frame(Date_from,Date_to)
y$concentration <- c("1.5","2.5","1.5","3.5","1.5","2.5","1.5","3.5","3")
y$Parameter<-c("A","A","A","B","B","B","C","C","C")
y$Date_from <- as.Date(y$Date_from)
y$Date_to <- as.Date(y$Date_to)
y$concentration <- as.numeric(y$concentration)
如果每个参数的日期范围从一年的第一天 (2013-01-01) 开始并在一年的最后一天 (2013-12-31) 结束,我将需要检查数据框。如果不是,我需要在每个参数的开头和结尾添加一个额外的行,以完成每个参数的完整日期范围。结果应如下所示:
Date_from Date_to concentration Parameter
2013-01-01 2013-01-31 NA NA
2013-02-01 2013-05-07 1.5 A
2013-05-10 2013-08-12 2.5 A
2013-08-13 2013-11-18 1.5 A
2013-11-19 2013-12-31 NA NA
2013-01-01 2013-01-31 NA NA
2013-02-01 2013-05-07 3.5 B
2013-05-10 2013-08-12 1.5 B
2013-08-13 2013-11-18 2.5 B
2013-11-19 2013-12-31 NA NA
2013-01-01 2013-01-31 NA NA
2013-02-01 2013-05-07 1.5 C
2013-05-10 2013-08-12 3.5 C
2013-08-13 2013-11-18 3.0 C
2013-11-19 2013-12-31 NA NA
请注意:为简化起见,此示例中的日期范围仅相同。
更新:这是我的原始数据片段和代码:
sm<-read.csv("https://www.dropbox.com/s/tft6inwcrjqujgt/Test_data.csv?dl=1",sep=";",header=TRUE)
cleaned_sm<-sm[,c(4,5,11,14)] ##Delete obsolete columns
colnames(cleaned_sm)<-c("Parameter","Concentration","Date_from","Date_to")
cleaned_sm$Date_from<-as.Date(cleaned_sm$Date_from, format ="%d.%m.%Y")
cleaned_sm$Date_to<-as.Date(cleaned_sm$Date_to, format ="%d.%m.%Y")
#detect comma decimal separator and replace with dot decimal separater as comma is not recognised as a number
cleaned_sm=lapply(cleaned_sm, function(x) gsub(",", ".", x))
cleaned_sm<-data.frame(cleaned_sm)
cleaned_sm$Concentration <- as.numeric(cleaned_sm$Concentration)
cleaned_sm$Date_from <- as.Date(cleaned_sm$Date_from)
cleaned_sm$Date_to <- as.Date(cleaned_sm$Date_to)
添加了基于@jasbner 的代码:
cleaned_sm %>%
group_by(Parameter) %>%
do(add_row(.,
Date_from = ymd(max(Date_to))+1 ,
Date_to = ymd(paste(year(max(Date_to)),"1231")),
Parameter = .$Parameter[1])) %>%
do(add_row(.,
Date_to = ymd(min(Date_from))-1,
Date_from = ymd(paste(year(min(Date_from)),"0101")) ,
Parameter = .$Parameter[1],
.before = 0)) %>%
filter(!duplicated(Date_from,fromLast = T),!duplicated(Date_to))
解决方案
dplyr
我对and的尝试lubridate
。一起破解,但我认为它应该工作。请注意,这不会查找日期范围中间的任何间隙。基本上,对于每个组,您在该特定组之前和之后添加一行。然后,如果存在日期范围从年初开始或在年底结束的任何情况,则过滤掉添加的行。
library(dplyr)
library(lubridate)
cleaned_sm %>%
group_by(Parameter) %>%
do(add_row(.,
Date_from = ymd(max(.$Date_to))+1 ,
Date_to = ymd(paste(year(max(.$Date_to)),"1231")),
Parameter = .$Parameter[1])) %>%
do(add_row(.,
Date_to = ymd(min(.$Date_from))-1,
Date_from = ymd(paste(year(min(.$Date_from)),"0101")) ,
Parameter = .$Parameter[1],
.before = 0)) %>%
filter(!duplicated(Date_from,fromLast = T),!duplicated(Date_to))
# A tibble: 15 x 4
# Groups: Parameter [3]
# Date_from Date_to concentration Parameter
# <date> <date> <dbl> <chr>
# 1 2013-01-01 2013-01-31 NA A
# 2 2013-02-01 2013-05-07 1.50 A
# 3 2013-05-10 2013-08-12 2.50 A
# 4 2013-08-13 2013-11-18 1.50 A
# 5 2013-11-19 2013-12-31 NA A
# 6 2013-01-01 2013-01-31 NA B
# 7 2013-02-01 2013-05-07 3.50 B
# 8 2013-05-10 2013-08-12 1.50 B
# 9 2013-08-13 2013-11-18 2.50 B
# 10 2013-11-19 2013-12-31 NA B
# 11 2013-01-01 2013-01-31 NA C
# 12 2013-02-01 2013-05-07 1.50 C
# 13 2013-05-10 2013-08-12 3.50 C
# 14 2013-08-13 2013-11-18 3.00 C
# 15 2013-11-19 2013-12-31 NA C
推荐阅读
- oauth-2.0 - 用于 DevOps REST 服务 API 的 OAuth2 身份验证
- sql - SQL:为电话号码添加一些验证步骤
- arrays - 将函数应用于数组列 pyspark 中的所有值
- python - 下载 RCSB 蛋白质数据库中的所有异源复合物蛋白质 PDB ID
- perl - 使用 T 标志运行时 Perl INC 未更新
- python - 如何在 Visual Studio Code 上的 Python 3 中使用 getpass 隐藏密码输入?
- mysql - mysql将ī和其他“外来”字符保存为“?”
- python - 我们如何获得两列中值的相似度?
- javascript - 按数组值查找选项
- asp.net-core - Blazor 组件 - 内联样式