I am trying to update values of a column in a dataframe and I see that I can use @view macro to reference the dataframe. Is there a way to use @view from dataframes and @subset from dataframesmeta to update a column value.
using DataFrames, DataFramesMeta
test = DataFrame(x = [1,2,3,4], y = [5,6,7,8])
@view test[2:3, :]
Suppose I want to update 2nd and 3rd row values of x column, how would I do it using dataframesmeta but at the same time take advantage of referencing the original dataframe (like @view does).