Julia | DataFrame | Replacing missing Values

Question

How can we replace missing values with 0.0 for a column in a DataFrame?

Answer 1

create df with some NAs

using DataFrames
df = DataFrame(A = 1.0:10.0, B = 2.0:2.0:20.0)
df[ df[:B] %2 .== 0, :A ] = NA

you'll see some NA in df... we now convert them to 0.0

df[ isna(df[:A]), :A] = 0

EDIT=NaN→NA. Thanks @Reza