Learning Julia

DataArrays

Let's take a look at what DataArrays in Julia look like:

# creating a 2D data matrix
julia> data_matrix = DataArray([1 2 3;4 5 6])
2×3 DataArrays.DataArray{Int64,2}:
 1  2  3
 4  5  6

# Creating a 1D vector
julia> data_vector = DataArray([1 2 3 4 5 6 7 8])
1×8 DataArrays.DataArray{Int64,2}:
 1  2  3  4  5  6  7  8

# Creating a column major 1D array
julia> data_vector_column_major = DataArray([1,2,3,4])
4-element DataArrays.DataArray{Int64,1}:
 1
 2
 3
 4

# assigning the first value as NA
julia> data_vector_column_major[1] = NA
NA

# dropping NA values
julia> data_vector_column_major
4-element DataArrays.DataArray{Int64,1}:
  NA
 2  
 3  
 4  

As you may have noticed, the NA value can be dropped from DataArray using the dropna function, which is provided by ...