replace_vars: Fast value replacement in data frame

In tidyft: Fast and Memory Efficient Data Operations in Tidy Syntax

Fast value replacement in data frame

Description

replace_vars could replace any value(s) or values that match specific patterns to another specific value in a data.table.

Usage

replace_vars(.data, ..., from = is.na, to)

Arguments

.data	A data.table
...	Colunms to be replaced. If not specified, use all columns.
from	A value, a vector of values or a function returns a logical value. Defaults to NaN.
to	A value.

Value

A data.table.

See Also

replace_dt

Examples

 iris %>% as.data.table() %>%
   mutate(Species = as.character(Species))-> new_iris

 new_iris %>%
   replace_vars(Species, from = "setosa",to = "SS")
 new_iris %>%
   replace_vars(Species,from = c("setosa","virginica"),to = "sv")
 new_iris %>%
   replace_vars(Petal.Width, from = .2,to = 2)
 new_iris %>%
   replace_vars(from = .2,to = NA)
 new_iris %>%
   replace_vars(is.numeric, from = function(x) x > 3, to = 9999 )

tidyft documentation built on Jan. 9, 2023, 1:27 a.m.