Hello, I have issues related with the same piece of code: using DataFrames using BenchmarkTools function fun1(df::DataFrame, bool_exp::BitVector) df_temp = df[bool_exp,:] return df_temp end function fun2(df::DataFrame, bool_exp::BitVector) df_temp = @subset(df, collect(bool_exp)) …

fun1 is the best because there is a little overhead in the DataFrames.subset function that @subset calls. This overhead matters because your data frame is so small. Try doing with a million observations and see what happens.

Learning to benchmark and find the best function to select a subset of a dataframe

New to Julia

martinmestre December 16, 2022, 7:12pm 21

Thank you very much! Everything understood.

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Learning to benchmark and find the best function to select a subset of a dataframe

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