Julia | DataFrame | Replacing missing Values

Question

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

Answer 1

The other answers are pretty good all over. If you are a real speed junky, perhaps the following might be for you:

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


df[:B].data[df[:B].na] = 0.0 # put the 0.0 into NAs
df[:B] = df[:B].data         # with no NAs might as well use array