Fast parsing machinery for basic types in Julia
41 Stars
Updated Last
1 Month Ago
Started In
June 2018


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A collection of type parsers and utilities for Julia.

Installation: at the Julia REPL, import Pkg; Pkg.add("Parsers")

Maintenance: Parsers is maintained collectively by the JuliaData collaborators. Responsiveness to pull requests and issues can vary, depending on the availability of key collaborators.

Basic Usage

using Parsers

# basic int/float parsing
x = Parsers.parse(Int, "101")
y = Parsers.parse(Float64, "101.101")

# use comma as decimal
y2 = Parsers.parse(Float64, "101,101", Parsers.Options(decimal=','))

# Bool parsing
z = Parsers.parse(Bool, "true")

# Date/DateTime parsing
using Dates
a = Parsers.parse(Date, "2018-01-01")

# custom dateformat
b = Parsers.parse(Date, "01/20/2018", Parsers.Options(dateformat="mm/dd/yyyy"))

# will throw on invalid values
Parsers.parse(Int, "abc")

# tryparse will return `nothing` on invalid values
y = Parsers.tryparse(Int, "abc")

Additional usage

Read through the docs of the following types/functions for more information on using advanced Parsers machinery:

  • ?Parsers.Options
  • ?Parsers.xparse
  • ?Parsers.ReturnCode

Required Packages

No packages found.