Comments (1)
I think this works now.
julia> d = DataFrame({PooledDataVec[1,2],[3,4]})
DataFrame (2,2)
x1 x2
[1,] 1 3
[2,] 2 4
julia> d2 = DataFrame({PooledDataVec[11,22],[3,4]})
DataFrame (2,2)
x1 x2
[1,] 11 3
[2,] 22 4
julia> rbind(d,d2)
DataFrame (4,2)
x1 x2
[1,] 1 3
[2,] 2 4
[3,] 11 3
[4,] 22 4
julia> rbind(d,d2) | idump
DataFrame
columns: Array(Any,(2,))
1: PooledDataVec{Int64}
refs: Array(Uint16,(4,)) [0x0001, 0x0002, 0x0003, 0x0004]
pool: Array(Int64,(4,)) [1, 2, 11, 22]
filter: Bool false
replace: Bool false
replaceVal: Int64 0
2: Array(Int64,(4,)) [3, 4, 3, 4]
colindex: Index
lookup: Dict{Union(UTF8String,ASCIIString),Int64}
keys: Array(Any,(16,))
1: Symbol __c782dbf1cf4d6a2e5e3865d7e95634f2e09b5902__
2: Symbol __c782dbf1cf4d6a2e5e3865d7e95634f2e09b5902__
3: Symbol __c782dbf1cf4d6a2e5e3865d7e95634f2e09b5902__
4: Symbol __c782dbf1cf4d6a2e5e3865d7e95634f2e09b5902__
5: Symbol __c782dbf1cf4d6a2e5e3865d7e95634f2e09b5902__
6: Symbol __c782dbf1cf4d6a2e5e3865d7e95634f2e09b5902__
7: ASCIIString
data: Array(Uint8,(2,)) [0x78, 0x31]
8: Symbol __c782dbf1cf4d6a2e5e3865d7e95634f2e09b5902__
9: Symbol __c782dbf1cf4d6a2e5e3865d7e95634f2e09b5902__
10: ASCIIString
data: Array(Uint8,(2,)) [0x78, 0x32]
vals: Array(Any,(16,))
1: Symbol __c782dbf1cf4d6a2e5e3865d7e95634f2e09b5902__
2: Symbol __c782dbf1cf4d6a2e5e3865d7e95634f2e09b5902__
3: Symbol __c782dbf1cf4d6a2e5e3865d7e95634f2e09b5902__
4: Symbol __c782dbf1cf4d6a2e5e3865d7e95634f2e09b5902__
5: Symbol __c782dbf1cf4d6a2e5e3865d7e95634f2e09b5902__
6: Symbol __c782dbf1cf4d6a2e5e3865d7e95634f2e09b5902__
7: Int64 1
8: Symbol __c782dbf1cf4d6a2e5e3865d7e95634f2e09b5902__
9: Symbol __c782dbf1cf4d6a2e5e3865d7e95634f2e09b5902__
10: Int64 2
ndel: Int64 0
deleter: identity
names: Array(Union(UTF8String,ASCIIString),(2,)) ["x1", "x2"]
from dataframes.jl.
Related Issues (20)
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from dataframes.jl.