[英]Converting coordinate entries from East and West to positive and negative
I currently have a data set listed as我目前有一个数据集列为
Latitude Longitude
lat:51.40 long:2.19W
lat:50.52 long:1.09E
lat:57.54 long:3.06W
How do I remove the W and E and make the W reading a negative in Rstudio?如何删除 W 和 E 并使 Rstudio 中的 W 读数为负数?
after running dput(head(df)) as comment below suggested (the first few entries in the data set are errors so lat and long values were recorded as 0).在按照下面的评论建议运行 dput(head(df)) 之后(数据集中的前几个条目是错误的,因此 lat 和 long 值被记录为 0)。
structure(list(latitude = c(" deg_latitude: 0", " deg_latitude: 0", " deg_latitude: 0", " deg_latitude: 0", " deg_latitude: 0", " deg_latitude: 0", " deg_latitude: 0", " deg_latitude: 0", " deg_latitude: 0", " deg_latitude: 0", " deg_latitude: 0", " deg_latitude: 0", " deg_latitude: 0", " deg_latitude: 0", " deg_latitude: 0", " deg_latitude: 0", " deg_latitude: 0", " deg_latitude: 0", " deg_latitude: 56.3600006103516", " deg_latitude: 56.3400001525879"), longitude = c(" deg_longitude: 0.0", " deg_longitude: 0.0", " deg_longitude: 0.0", " deg_longitude: 0.0", " deg_longitude: 0.0", " deg_longitude: 0.0", " deg_longitude: 0.0", " deg_longitude: 0.0", " deg_longitude: 0.0", " deg_longitude: 0.0", " deg_longitude: 0.0", " deg_longitude: 0.0", " deg_longitude: 0.0", " deg_longitude: 0.0", " deg_longitude: 0.0", " deg_longitude: 0.0", " deg_longitude: 0.0", " deg_longitude: 0.0", " deg_longitude: 3.38000011444092W", " deg_longitude: 3.36999988555908W")), row.names = c(NA, 20L), 8839811219518结构(列表(纬度= c(“deg_latitude:0”,“deg_latitude:0”,“deg_latitude:0”,“deg_latitude:0”,“deg_latitude:0”,“deg_latitude:0”,“deg_latitude:0”, " deg_latitude: 0", " deg_latitude: 0", " deg_latitude: 0", " deg_latitude: 0", " deg_latitude: 0", " deg_latitude: 0", " deg_latitude: 0", " deg_latitude: 0", " deg_latitude :0”,“deg_latitude:0”,“deg_latitude:0”,“deg_latitude:56.3600006103516”,“deg_latitude:56.3400001525879”),经度= c(“deg_longitude:0.0”,“deg_longitude:0.0”,“deg_longitude:0.0” , " deg_longitude: 0.0", " deg_longitude: 0.0", " deg_longitude: 0.0", " deg_longitude: 0.0", " deg_longitude: 0.0", " deg_longitude: 0.0", " deg_longitude: 0.0", " deg_longitude: 0.0", " deg_longitude: 0.0", " deg_longitude: 0.0", " deg_longitude: 0.0", " deg_longitude: 0.0", " deg_longitude: 0.0", " deg_longitude: 0.0", " deg_longitude: 0.0", " deg_longitude: 3.38000011444092W", "deg_longitude : 3.36999988555908W"), row.names = c(NA, 20L), 8839811219518 8 = "data.frame")
8 = “数据框”)
Remove all characters that is not digits and punctuation, and if "W" is detected ( str_detect()
) turn the value to negative删除所有不是数字和标点符号的字符,如果检测到“W”(
str_detect()
)将值变为负数
library(tidyverse)
df %>%
mutate(across(
everything(),
~ case_when(
str_detect(., "W") ~ as.numeric(str_remove_all(., "[^0-9\\.]")) * -1,
TRUE ~ as.numeric(str_remove_all(., "[^0-9\\.]"))
)
))
# A tibble: 3 × 2
Latitude Longitude
<dbl> <dbl>
1 51.4 -2.19
2 50.5 1.09
3 57.5 -3.06
EDIT:编辑:
df %>%
mutate(across(
everything(),
~ case_when(
str_detect(., "W") ~ str_c("-", str_remove_all(., "[^0-9\\.]")),
TRUE ~ str_remove_all(., "[^0-9\\.]"
)
)))
data.table
solution data.table
解决方案
library(data.table)
library(readr)
DT <- fread("Latitude Longitude
lat:51.40 long:2.19W
lat:50.52 long:1.09E
lat:57.54 long:3.06W")
DT[, c("deg_lat", "deg_lon") := lapply(.SD, readr::parse_number)]
DT[grepl(".*W$", Longitude), deg_lon := -1 * deg_lon]
Latitude Longitude deg_lat deg_lon
1: lat:51.40 long:2.19W 51.40 -2.19
2: lat:50.52 long:1.09E 50.52 1.09
3: lat:57.54 long:3.06W 57.54 -3.06
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