The following is an MWE of a problem in which I wanted to replace some missing values for a specific set of observations in a
DataFrame. It works with
=, but not with the
Is this a bug? If not, can someone please clarify what is going on?
using DataFrames, Missings df = DataFrame(wage = [0.0, missing, 10.0, 20.0]) df[ismissing.(df[:wage]), :wage] .= 0 # note the . before the = find(ismissing, df[:wage]) # 2, still there
Cf with arrays,
.= works fine:
A = [0.0, missing, 10.0, 20.0] A[ismissing.(A)] .= 0 A # OK
julia> Pkg.status.(["DataFrames", "Missings"]); - DataFrames 0.11.3 - Missings 0.2.4 julia> VERSION v"0.6.2"