I have a CSV file which contains about 1500 values some of which are “nan”, I am trying to write a function that would replace the “nan” values with zero.
I tried using the replace_nan(v) and CSV write function, however have been unsuccesful.
P.S. I am julia beginer, so any help will be appreicated.
One thing you could do is use
missingstring = "nan" to read in the NaN values as
missing, then perform
replace(col, missing => NaN) on all the columns that should have
replace(x, NaN => 0), (or
replace!(x, NaN => 0) if you want to do in-place replacement) should work in many circumstances. Can you post a minimum reproducible example where that does not work?
Please consider the following recommendations to post your example: