How to convert a mixed-type Matrix to DataFrame in Julia recognising the column types

Question

One nice feature of DataFrames is that it can store columns with different types and it can \"auto-recognise\" them, e.g.:

using DataFrames, DataStructures

df1          


        

Answer 1

While I think there may be a better way to go about the whole thing this should do what you want.

df = DataFrame()
for (ind,s) in enumerate(Symbol.(dataMatrix[1,:])) # convert first row to symbols and iterate through them.
    # check all types the same else assign to Any
    T = typeof(dataMatrix[2,ind])
    T = all(typeof.(dataMatrix[2:end,ind]).==T) ? T : Any
    # convert to type of second element then add to data frame
    df[s] = T.(dataMatrix[2:end,ind])
end