Hello, I would like to recode a dataframe containing positive numbers and missings such that every positive number is replaced with one and every missing is replaced with zero. I found some similar solutions but was unable to adjust them to Dataframes. # Input df = DataFrame(A = [1, missing,3, 4…

Replace missing values with zeros and nonmissing values with one in Dataframe

tbeason January 20, 2021, 9:05pm 2

nonmissing = .!ismissing.(df)

1 Like

Topic		Replies	Views
Replacing missing, really Data	8	10811	February 26, 2020
Replacing missing and NaN values in dataframe New to Julia question , dataframes , missing-values	6	4265	March 29, 2022
How array with many NaN values convert to DataFrames with Zero instead of NaN New to Julia	2	609	September 2, 2019
Replace all NaN's with zeros in DataFrame General Usage dataframes	31	10118	April 18, 2023
How to handle missing values in conditions New to Julia	3	377	January 21, 2021