Improve docstring of DataFrame

Fixes #2361
JuliaData · Oct 1, 2020 · 6c8f26a · 6c8f26a
1 parent 11a9949
commit 6c8f26a
Showing 1 changed file with 5 additions and 3 deletions.
diff --git a/src/dataframe/dataframe.jl b/src/dataframe/dataframe.jl
@@ -23,6 +23,8 @@ DataFrame(kwargs...)
 DataFrame(pairs::Pair{Symbol,<:Any}...; makeunique::Bool=false, copycols::Bool=true)
 DataFrame(pairs::Pair{<:AbstractString,<:Any}...; makeunique::Bool=false,
           copycols::Bool=true)
+DataFrame(pairs::AbstractVector{<:Pair}; makeunique::Bool=false, copycols::Bool=true)
+DataFrame(pairs::NTuple{N, Pair}; makeunique::Bool=false, copycols::Bool=true) where {N}
 DataFrame() # an empty DataFrame
 DataFrame(column_eltypes::AbstractVector, names::AbstractVector{Symbol},
           nrows::Integer=0; makeunique::Bool=false)
@@ -51,14 +53,14 @@ DataFrame(::GroupedDataFrame; keepkeys::Bool=true)
   to `CategoricalVector`
 - `ds` : `AbstractDict` of columns
 - `table` : any type that implements the
-  [Tables.jl](https://github.com/JuliaData/Tables.jl) interface; in particular
-  a tuple or vector of `Pair{Symbol, <:AbstractVector}}` objects is a table.
+  [Tables.jl](https://github.com/JuliaData/Tables.jl) interface
 - `copycols` : whether vectors passed as columns should be copied; if set
   to `false` then the constructor will still copy the passed columns
   if it is not possible to construct a `DataFrame` without materializing new columns.
 
 All columns in `columns` must be `AbstractVector`s and have the same length. An
-exception are `DataFrame(kwargs...)` and `DataFrame(pairs::Pair...)` form
+exception are `DataFrame(kwargs...)`, `DataFrame(pairs::Pair...)`,
+DataFrame(pairs::AbstractVector{<:Pair}, and DataFrame(pairs::NTuple{N, Pair} form
 constructors which additionally allow a column to be of any other type that is
 not an `AbstractArray`, in which case the passed value is automatically repeated
 to fill a new vector of the appropriate length. As a particular rule values