Reputation: 75
When I run my code one error occurs with my code setindex! not defined for WeakRefStrings.StringArray{String,1}
CSV File here.
using CSV
EVDdata =CSV.read(raw"wikipediaEVDdatesconverted.csv")
EVDdata[end-9:end,:]
And the Error Code is here
rows, cols = size(EVDdata)
for j =1:cols
for i = 1:rows
if !isdigit(string(EVDdata[i, j])[1])
EVDdata[i,j] = 0
end
end
end
I am working with Julia 1.4.1 on Jupter Notebook
Upvotes: 2
Views: 1660
Reputation: 23
It could also be done this way
col1dt = Vector{Dates.DateTime}(undef, length(col1))
for v = 1:length(col1) col1dt[v] = Dates.DateTime(col1[v], "d-u-y") end
Upvotes: 1
Reputation: 6388
setindex!(collection, item, inds...)
is the function that colection[inds...] = item
gets lowered to. The error comes from the fact that CSV.read
makes an immutable collection.
Upvotes: 4
Reputation: 13800
As Oscar says in his answer, setindex!
tries to mutate its arguments, i.e. change the contents of your column in place. When you do CSV.read()
, by default immutable columns of type CSV.Column
are returned. This is done for performance reason, as it means columns don't have to be copied after parsing.
To get around this, you can do two things:
CSV.read(raw"wikipediaEVDdatesconverted.csv", copycols = true)
- this will copy the columns and therefore make them mutable; orDataFrame((raw"wikipediaEVDdatesconverted.csv"))
The second way is the preferred way as CSV.read
will be deprecated in the CSV.jl
package.
You can see that it's current implementation is basically doing the same thing I listed in (2) above in the source here. Removing this method will allow CSV.jl
not to depend on DataFrames.jl
anymore.
Upvotes: 2