syntactic sugar - Julia DataFrame multiple values filtering -

there 2 ways filter dataframe in case below:

1. df = df[((df[:field].==1) | (df[:field].==2)), :] 2. df = df[[in(v, [1, 2]) v in df[:field]], :] 

second approach slower it's suitable mutable set of values in condition. there syntactic sugar missed can fast 1st way in-like construction?

julia> using dataframes 

findin function way task:

julia> function t_findin(df::dataframes.dataframe)         df[findin(df[:a],[1,2]), :]        end t3 (generic function 1 method) 

array comprehensions:

julia> function t_compr(df::dataframes.dataframe)         df[[in(v, [1, 2]) v in df[:a]], :]        end t1 (generic function 1 method) 

multiple conditionds:

julia> function t_mconds(df::dataframes.dataframe)         df[((df[:a].==1) | (df[:a].==2)), :]        end t2 (generic function 1 method) 

test data

julia> df[:b] = rand(1:30,10_000_000); julia> df[:a] = rand(1:30,10_000_000); 

test results

julia> @time t_findin(df);   0.489064 seconds (67 allocations: 19.340 mb, 0.49% gc time)  julia> @time t_mconds(df);   0.222389 seconds (106 allocations: 78.933 mb, 5.98% gc time)  julia> @time t_compr(df);  23.634846 seconds (100.00 m allocations: 2.563 gb, 1.47% gc time)