使用R或Python将数据帧的列中的字符串与另一个数据帧的列中的字符串进行匹配

Question

我试图将数据框的列中的字符串与另一个数据框的列中的字符串进行匹配,并映射相应的值.两个数据帧的行数不同

df1 = data.frame(name = c("(CKMB)Creatinine Kinase Muscle & Brain", "24 Hours Urine for Sodium", "Antistreptolysin O Titer", "Blood group O", lonic_code = c("27816-8-O", "27816-8-B", "1869-7", "33914-3")
df2 = data.frame(Testcomponents = c("creatinine", "blood", "potassium"))

预期产出

Test Components          lonic_code
creatinine                27816-8-O
 blood                      1869-7
potassium                    NA

Answer 1

regex_right_join在这种情况下可能会很方便。

library(fuzzyjoin)
library(dplyr)

df1 %>%
  mutate(name = as.character(name)) %>%
  regex_right_join(df2 %>%
                     mutate(Testcomponents = as.character(Testcomponents)), 
                   by = c(name = "Testcomponents"), ignore_case = T) %>%
  select(Testcomponents, lonic_code)

输出是：

  Testcomponents lonic_code
1     creatinine  27816-8-O
2          blood    33914-3
3      potassium       <NA>

样本数据：

df1 <- structure(list(name = structure(1:4, .Label = c("(CKMB)Creatinine Kinase Muscle & Brain", 
"24 Hours Urine for Sodium", "Antistreptolysin O Titer", "Blood group O"
), class = "factor"), lonic_code = structure(c(3L, 2L, 1L, 4L
), .Label = c("1869-7", "27816-8-B", "27816-8-O", "33914-3"), class = "factor")), .Names = c("name", 
"lonic_code"), row.names = c(NA, -4L), class = "data.frame")

df2 <- structure(list(Testcomponents = structure(c(2L, 1L, 3L), .Label = c("blood", 
"creatinine", "potassium"), class = "factor")), .Names = "Testcomponents", row.names = c(NA, 
-3L), class = "data.frame")