Convenience functions for working with missing values in Julia
Installation: at the Julia REPL,
import Pkg; Pkg.add("Missings")
Maintenance: Missings is maintained collectively by the JuliaData collaborators. Responsiveness to pull requests and issues can vary, depending on the availability of key collaborators.
Starting from Julia 1.0, the
Missing type and basic related functionality are part of the language.
For documentation see the Julia manual section on missing values.
This package provides additional functionality for working with
disallowmissingto convert between
passmissingto wrap a function so that it returns
missingif any of its positional arguments is
levelsto get the unique values in a vector excluding
missingand in their preferred order
Missings.replaceto wrap a collection in a (possibly indexable) iterator replacing
missingwith another value
Missings.failto wrap a collection in a (possibly indexable) iterator throwing an error if
skipmissingsto loop through a collection of iterators excluding indices where any iterators are
Contributing and Questions
Contributions are welcome, as are feature requests and suggestions. Please open an issue if you encounter any problems or would just like to ask a question.