sprmnt21
sprmnt21
what do you think of the utility of having a method of the flatten function in DataFrames that expands a dataframe type df2 in the form dfexp? ``` df =...
I do not think it is a very felt need, but if it were not too complicated and at risk of unwanted side effects, a generalization of the value parameter...
I would like to ask if the opportunity to have a version of the group function with an additional parameter such as the comparison of the innerjoin function has ever...
The following integral ``` (log(x)^2+2x*log(x)+x^2+(x+1)*sqrt(x+log(x))) / (x*log(x)^2+2*x^2log(x)+x^3) ``` have an elementar antiderivative see. ex 9 from SYMBOLIC INTEGRATION TUTORIAL Manuel Bronstein
``` ds = Dataset(A = ["a", "b","a", "b"],B=[1,2,3,4]) julia> ds.A==ds[:,:A] true julia> typeof(ds.A) DatasetColumn{Dataset, Vector{Union{Missing, String}}} julia> typeof(ds[:,:A]) Vector{Union{Missing, String}} (alias for Array{Union{Missing, String}, 1}) julia> ds.A 4-element Vector{Union{Missing, String}}:...
I wonder if the result of the flatten function in these cases is the most expected one. Are there any contraindications to (or is this notoriously preferable rather than) treating...
I don't explain the reason for the following differences ``` julia> modify(compare(ds[!, r"lim"], ds[!, Not(r"lim")], on = 1:3 .=> 1:3, eq = !isless), 1:3=>byrow(x->x.*1)) 6×4 Dataset Row │ a_lim=>a b_lim=>b...
Trying to follow some examples from the tutorial, I found different outputs than expected(as showed in the documentation). ``` julia> ds = Dataset(g = [2, 1, 1, 2, 2], x1_int...
I wanted to see the json file corresponding to a dataframe that has dataframes as elements in one of the columns. ```julia> dfn 3×3 DataFrame Row │ f oc sdf...
Could it be convenient to have an iterator that is somewhere between groupby and partition? The application of the function refers to the case in which we want to take...