The {grumpy} R package provides a way to read NumPy’s .npy files
into R. It supports a wide range of data types and array shapes.
As a file format generated by a Python package, .npy files are prime
candidates for using the {reticulate} package to read them into R.
However, this comes with downsides in terms of performance, flexibility,
and robustness of the R package infrastructure. {grumpy}, on the other
hand, is a pure R package with no dependency and is performant,
flexible. Overall, it is designed to be used deep in the dependency
graph of other packages.
For more details on the motivation and design principles underpinning
{grumpy}, see the dedicated vignette:
vignette("design", package = "grumpy").
You can install the released version of grumpy with:
install.packages("grumpy")and the development version like so:
# install.packages("pak")
pak::pak("Bisaloo/grumpy")library(grumpy)
read_npy(system.file("extdata", "test_2d.npy", package = "grumpy"))
#> [,1] [,2] [,3] [,4]
#> [1,] 0 3 6 9
#> [2,] 1 4 7 10
#> [3,] 2 5 8 11