从数据框中删除行与字符串匹配的行

Question

I do I remove all rows in a dataframe where a certain row meets a string match criteria?

For example:

A,B,C
4,3,Foo
2,3,Bar
7,5,Zap

How would I return a dataframe that excludes all rows where C = Foo:

A,B,C
2,3,Bar
7,5,Zap

Answer 1

Just use the == with the negation symbol ( ! ). If dtfm is the name of your data.frame:

dtfm[!dtfm$C == "Foo", ]

Or, to move the negation in the comparison:

dtfm[dtfm$C != "Foo", ]

Or, even shorter using subset() :

subset(dtfm, C!="Foo")

Answer 2

You can use the dplyr package to easily remove those particular rows.

library(dplyr)
df <- filter(df, C != "Foo")

Answer 3

I had a column(A) in a data frame with 3 values in it (yes, no, unknown). I wanted to filter only those rows which had a value "yes" for which this is the code, hope this will help you guys as well --

df <- df [(!(df$A=="no") & !(df$A=="unknown")),]

Answer 4

if you wish to using dplyr, for to remove row "Foo":

df %>%
 filter(!C=="Foo")

Answer 5

I Know this has been answered but doing this if anyone can get help from this

library (dplyr) df %>% filter(!c=="foo)

OR

df[,df$c=="foo", ]