Viewing columns and datatype in dataframe

New to Julia
,
1

I created a dataframe first:

using DataFrames
df = DataFrame(id=[1,2,3], 
    salary=4500, 
    age=[30, 30, 32])

To view column names and datatypes, used:

Dict(names(df) .=> eltype.(eachcol(df)))

However, it gets the job done but is there any better way for this, like any function or using package?

2

More verbose:

julia> describe(df)
3×7 DataFrame
 Row │ variable  mean       min    median   max    nmissing  eltype
     │ Symbol    Float64    Int64  Float64  Int64  Int64     DataType
─────┼────────────────────────────────────────────────────────────────
   1 │ id           2.0         1      2.0      3         0  Int64
   2 │ salary    4500.0      4500   4500.0   4500         0  Int64
   3 │ age         30.6667     30     30.0     32         0  Int64

if you really don’t want to know anything else:

julia> describe(df, :eltype)
3×2 DataFrame
 Row │ variable  eltype
     │ Symbol    DataType
─────┼────────────────────
   1 │ id        Int64
   2 │ salary    Int64
   3 │ age       Int64
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3 
describe(df, :eltype)

It’s neat indeed! Thanks for helping out!

1 Like
4

or

julia> mapcols(eltype, df)
1×3 DataFrame
 Row │ id        salary    age
     │ DataType  DataType  DataType
─────┼──────────────────────────────
   1 │ Int64     Int64     Int64
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