Reading ddmmyyy date format fails

[xiaodaigh]

I can't read dd/mm/yyy date formats in CSV. Here is my csv fiel

31/12/2018,-80
31/12/2018,10528.13
27/12/2018,2269.69
25/12/2018,-19.95
21/12/2018,-1.25
21/12/2018,-41.81
20/12/2018,-8.69
18/12/2018,-509.75
18/12/2018,-10000
18/12/2018,6022.5
18/12/2018,-19.95
16/12/2018,-110.48
14/12/2018,-1162
11/12/2018,17543.96
11/12/2018,-0.58
11/12/2018,-19.46
10/12/2018,-124.98
7/12/2018,-5.2
6/12/2018,-38.4
6/12/2018,-8.69
5/12/2018,-82.07
5/12/2018,-47.33
4/12/2018,-20.24
4/12/2018,-3.63
4/12/2018,-121.16
4/12/2018,-6.29
1/12/2018,-10
1/12/2018,-658.33
1/12/2018,-1425
1/12/2018,-10190
1/12/2018,-8.3
1/12/2018,-24.99
30/11/2018,-1162
30/11/2018,16.99
29/11/2018,1280.94
29/11/2018,-16.8
27/11/2018,-80
27/11/2018,-9.5
22/11/2018,-40.85
22/11/2018,-16.99
21/11/2018,7528.13
21/11/2018,-23398
21/11/2018,8000
21/11/2018,7000
21/11/2018,-440
21/11/2018,-59
21/11/2018,-1.24
21/11/2018,-41.32
20/11/2018,-108.9
17/11/2018,-0.42
17/11/2018,-13.92
16/11/2018,-1162
16/11/2018,-186.43
15/11/2018,-40.85
14/11/2018,-19525.55
14/11/2018,27528.13
14/11/2018,-476.76
13/11/2018,-0.58
13/11/2018,-19.32
12/11/2018,-825
11/11/2018,-18000
11/11/2018,-479
10/11/2018,22592.83
9/11/2018,-124.98
8/11/2018,-65.85
6/11/2018,-3.87
6/11/2018,-128.88
6/11/2018,-6.48
6/11/2018,-49.31
3/11/2018,-35
3/11/2018,-105
2/11/2018,-1162
1/11/2018,-50
1/11/2018,-658.33
1/11/2018,-1425
1/11/2018,-10190
1/11/2018,-10
31/10/2018,-22.15
31/10/2018,-24.99
29/10/2018,-4200
29/10/2018,11078.76
27/10/2018,-400
26/10/2018,-78.95
26/10/2018,-821.07
26/10/2018,-170.56
25/10/2018,-80
25/10/2018,-37.9
23/10/2018,-1.27
23/10/2018,-42.21
19/10/2018,-1162
16/10/2018,-104.76
11/10/2018,-44.85
9/10/2018,-124.98
6/10/2018,-48.18
5/10/2018,-1162
5/10/2018,-0.59
5/10/2018,-19.55
5/10/2018,-6.4
4/10/2018,-150
4/10/2018,-3.68
4/10/2018,-122.52
3/10/2018,-273.9
2/10/2018,14524.68
2/10/2018,-24.99
1/10/2018,-658.33
1/10/2018,-1425
1/10/2018,-10190
1/10/2018,-10

When I read it on my Australian PC it says

ArgumentError: Month: 31 out of range (1:12)
Dates.Date(::Int64, ::Int64, ::Int64) at types.jl:207
tryparsenext(::TextParse.DateTimeToken{Dates.Date,Dates.DateFormat{Symbol("mm/dd/yyyy"),Tuple{Dates.DatePart{'m'},Dates.Delim{Char,1},Dates.DatePart{'d'},Dates.Delim{Char,1},Dates.DatePart{'y'}}}}, ::TextParse.VectorBackedUTF8String, ::Int64, ::Int64, ::TextParse.LocalOpts{UInt8,UInt8,UInt8}) at field.jl:511
macro expansion at util.jl:27 [inlined]
tryparsenext(::TextParse.Field{Dates.Date,TextParse.DateTimeToken{Dates.Date,Dates.DateFormat{Symbol("mm/dd/yyyy"),Tuple{Dates.DatePart{'m'},Dates.Delim{Char,1},Dates.DatePart{'d'},Dates.Delim{Char,1},Dates.DatePart{'y'}}}}}, ::TextParse.VectorBackedUTF8String, ::Int64, ::Int64, ::TextParse.LocalOpts{UInt8,UInt8,UInt8}) at utf8optimizations.jl:204
parsefill!(::TextParse.VectorBackedUTF8String, ::TextParse.LocalOpts{UInt8,UInt8,UInt8}, ::TextParse.Record{Tuple{TextParse.Field{Dates.Date,TextParse.DateTimeToken{Dates.Date,Dates.DateFormat{Symbol("mm/dd/yyyy"),Tuple{Dates.DatePart{'m'},Dates.Delim{Char,1},Dates.DatePart{'d'},Dates.Delim{Char,1},Dates.DatePart{'y'}}}}},TextParse.Field{Float64,TextParse.Numeric{Float64}}},Tuple{Dates.Date,Float64}}, ::Int64, ::Tuple{Array{Dates.Date,1},Array{Float64,1}}, ::OrderedCollections.OrderedDict{Union{Int64, String},AbstractArray{T,1} where T}, ::Int64, ::Int64, ::Int64, ::Int64) at util.jl:27

which seems to suggest that it wants to read it as mm/dd/yyyy

This is a download from a major Australia bank. So pretty common format in Aus and NZ I assume.

[shashi]

try colparsers=Dict(1=>dateformat"dd/mm/yyyy") keyword argument

[xiaodaigh]

Ok. But is it possible for it to automatically detect it?