For dictionaries filter
gets a key-value pair, so do either (destructuring Pair
):
julia> dict = Dict(1=>"a", 2=>"b", 3=>"c")
Dict{Int64, String} with 3 entries:
2 => "b"
3 => "c"
1 => "a"
julia> filter(((k,v),) -> k == 1 || v == "c", dict)
Dict{Int64, String} with 2 entries:
3 => "c"
1 => "a"
or for example (getting Pair
as a whole):
julia> filter(p -> first(p) == 1 || last(p) == "c", dict)
Dict{Int64, String} with 2 entries:
3 => "c"
1 => "a"
julia> filter(p -> p[1] == 1 || p[2] == "c", dict)
Dict{Int64, String} with 2 entries:
3 => "c"
1 => "a"
EDIT
Explanation why additional parentheses are needed:
julia> f = (x, y) -> (x, y)
#1 (generic function with 1 method)
julia> g = ((x, y),) -> (x, y)
#3 (generic function with 1 method)
julia> methods(f)
# 1 method for anonymous function "#1":
[1] (::var"#1#2")(x, y) in Main at REPL[1]:1
julia> methods(g)
# 1 method for anonymous function "#3":
[1] (::var"#3#4")(::Any) in Main at REPL[2]:1
julia> f(1, 2)
(1, 2)
julia> f((1, 2))
ERROR: MethodError: no method matching (::var"#1#2")(::Tuple{Int64, Int64})
Closest candidates are:
(::var"#1#2")(::Any, ::Any) at REPL[1]:1
julia> g(1, 2)
ERROR: MethodError: no method matching (::var"#3#4")(::Int64, ::Int64)
Closest candidates are:
(::var"#3#4")(::Any) at REPL[2]:1
julia> g((1, 2))
(1, 2)
As you can see f
takes 2 positional argument, while g
takes one positional argument that gets destructured (i.e. the assumption is that argument passed to g
is iterable and has at least 2 elements).
See also https://docs.julialang.org/en/v1/manual/functions/#Argument-destructuring.
Now comes the tricky part:
julia> h1((x, y)) = (x, y)
h1 (generic function with 1 method)
julia> methods(h1)
# 1 method for generic function "h1":
[1] h1(::Any) in Main at REPL[1]:1
julia> h2 = ((x, y)) -> (x, y)
#1 (generic function with 1 method)
julia> methods(h2)
# 1 method for anonymous function "#1":
[1] (::var"#1#2")(x, y) in Main at REPL[3]:1
In this example h1
is a named function. In this case it is enough to just wrap arguments in extra parentheses to get destructuring behavior. For anonymous functions, because of how Julia parser works an extra ,
is needed - if you omit it the extra parentheses are ignored.
Now let us check filter
docstring:
filter(f, d::AbstractDict)
Return a copy of d, removing elements for which f is false.
The function f is passed key=>value pairs.
As you can see from this docstring f
is passed a single argument that is Pair
. That is why you need to use either destructuring or define a single argument function and extract its elements inside the function.
rand(1)[1]
it is better to write justrand()
. – Estebanesteem