ropensci / Writexl
Licence: other
Portable, light-weight data frame to xlsx exporter for R
Stars: ✭ 162
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writexl
Portable, light-weight data frame to xlsx exporter based on libxlsxwriter. No Java or Excel required.
Wraps the libxlsxwriter library to create files in Microsoft Excel 'xlsx' format.
Installation
install.packages("writexl")
Getting started
Currently the package only has write_xlsx() to export a data frame to xlsx.
library(writexl)
library(readxl)
tmp <- writexl::write_xlsx(iris)
readxl::read_xlsx(tmp)
# A tibble: 150 x 5
Sepal.Length Sepal.Width Petal.Length Petal.Width Species
<dbl> <dbl> <dbl> <dbl> <chr>
1 5.1 3.5 1.4 0.2 setosa
2 4.9 3.0 1.4 0.2 setosa
3 4.7 3.2 1.3 0.2 setosa
4 4.6 3.1 1.5 0.2 setosa
5 5.0 3.6 1.4 0.2 setosa
6 5.4 3.9 1.7 0.4 setosa
7 4.6 3.4 1.4 0.3 setosa
8 5.0 3.4 1.5 0.2 setosa
9 4.4 2.9 1.4 0.2 setosa
10 4.9 3.1 1.5 0.1 setosa
# ... with 140 more rows
Most data types should roundtrip with readxl:
library(nycflights13)
out <- readxl::read_xlsx(writexl::write_xlsx(flights))
all.equal(out, flights)
## TRUE
Performance is a bit better than openxlsx implementation:
library(microbenchmark)
library(nycflights13)
microbenchmark(
writexl = writexl::write_xlsx(flights, tempfile()),
openxlsx = openxlsx::write.xlsx(flights, tempfile()),
times = 5
)
## Unit: seconds
## expr min lq mean median uq max neval
## writexl 8.884712 8.904431 9.103419 8.965643 9.041565 9.720743 5
## openxlsx 17.166818 18.072527 19.171003 18.669805 18.756661 23.189206 5
Also the output xlsx files are smaller:
writexl::write_xlsx(flights, tmp1 <- tempfile())
file.info(tmp1)$size
## 29157282
openxlsx::write.xlsx(flights, tmp2 <- tempfile())
file.info(tmp2)$size
## 35962067
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