# LoadError: MethodError: Cannot \`convert\` an object of type Array{Float64,2} to an object of type EasyFITS.FitsImage{Float64,2}
**URL:** https://discourse.julialang.org/t/loaderror-methoderror-cannot-convert-an-object-of-type-array-float64-2-to-an-object-of-type-easyfits-fitsimage-float64-2/57097
**Category:** General Usage
**Tags:** question
**Created:** [March 13, 2021, 9:23pm UTC](https://discourse.julialang.org/t/loaderror-methoderror-cannot-convert-an-object-of-type-array-float64-2-to-an-object-of-type-easyfits-fitsimage-float64-2/57097 "2021-03-13T21:23:25Z")
**Posts on this page:** 5
**Page:** 1
### Author:  [@assia855](https://discourse.julialang.org/u/assia855)
#### Post date: [March 13, 2021, 9:23pm UTC](https://discourse.julialang.org/t/loaderror-methoderror-cannot-convert-an-object-of-type-array-float64-2-to-an-object-of-type-easyfits-fitsimage-float64-2/57097/1 "2021-03-13T21:23:25Z")
LoadError: MethodError: Cannot `convert` an object of type Array{Float64,2} to an object of type EasyFITS.FitsImage{Float64,2}
Closest candidates are:
convert(::Type{#s15} where #s15\<:AbstractArray, ::EasyFITS.FitsImage) at C:\Users\assia.julia\packages\EasyFITS\ybRPO\src\EasyFITS.jl:479
convert(::Type{T}, ::T) where T\<:AbstractArray at abstractarray.jl:14
convert(::Type{T}, ::LinearAlgebra.Factorization) where T\<:AbstractArray at D:\buildbot\worker\package\_win64\build\usr\share\julia\stdlib\v1.3\LinearAlgebra\src\factorization.jl:53
please some help.
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### Author:  [@Skoffer](https://discourse.julialang.org/u/Skoffer)
#### Post date: [March 13, 2021, 9:40pm UTC](https://discourse.julialang.org/t/loaderror-methoderror-cannot-convert-an-object-of-type-array-float64-2-to-an-object-of-type-easyfits-fitsimage-float64-2/57097/2 "2021-03-13T21:40:22Z")
Hello @assia855, welcome to the Julia community!
Regarding your question, it would be possible to help you if you provide more information. What exactly you did in your program before you get this result? What packages you were using? The best way to help us help you is to provide MWE, i.e. Minimal Working Example. Just a few lines, that someone can also run in their REPL and get the same error message. Also, please remember that MWE should not include data that is only in your possession.
You can read more about MWE and some other simple things that can ease your life and get answer quickly here: [Please read: make it easier to help you](https://discourse.julialang.org/t/psa-make-it-easier-to-help-you/14757)
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### Author:  [@Xiao](https://discourse.julialang.org/u/Xiao)
#### Post date: [March 16, 2021, 5:06am UTC](https://discourse.julialang.org/t/loaderror-methoderror-cannot-convert-an-object-of-type-array-float64-2-to-an-object-of-type-easyfits-fitsimage-float64-2/57097/3 "2021-03-16T05:06:03Z")
using FASTX
using BioSequences
using CodecZlib
function demux(sample\_table, fastq\_file, mismatch)
barcode\_sample\_dict = Dict{String,String}()
f = open(sample\_table, “r”)
for line in readlines(f)
array = split(line, “,”)
barcode\_sample\_dict[array[4]] = array[2]
end
close(f)
keys\_as\_vector = collect(keys(barcode\_sample\_dict))
```
barcodes = LongDNASeq.(keys(barcode_sample_dict))
dplxr = Demultiplexer(barcodes, n_max_errors=parse.(Int8, mismatch), distance=:hamming)
output_dict = Dict{String, String}()
reader = FASTQ.Reader(GzipDecompressorStream(open(fastq_file)))
for record in reader
index = last(split(FASTQ.description(record),":"))
check = demultiplex(dplxr, LongDNASeq(index))
if check[1] !== 0
barcode = keys_as_vector[check[1]]
sample = barcode_sample_dict[barcode]
output_dict[sample] = record
else
end
end
close(reader)
for sample in keys(output_dict)
println("$sample")
end
```
end
@time demux(ARGS[1], ARGS[2], ARGS[3])
**julia demux\_func.jl SampleSheet.NEXTflex1.csv 17-4-F-BR\_S1\_L001\_R1\_001\_head4000.fastq.gz 0**
**ERROR:** LoadError: MethodError: Cannot `convert` an object of type FASTX.FASTQ.Record to an object of type String
Closest candidates are:
convert(::Type{String}, ::BioSequence, ::BioSequences.AsciiAlphabet) at /Users/xzhong/.julia/packages/BioSequences/k4j4J/src/biosequence/conversion.jl:20
convert(::Type{T}, ::T) where T\<:AbstractString at strings/basic.jl:229
convert(::Type{T}, ::AbstractString) where T\<:AbstractString at strings/basic.jl:230
…
Stacktrace:
[1] **setindex!(** ::Dict{String,String}, ::FASTX.FASTQ.Record, ::String **)** at **./dict.jl:380**
[2] **demux(** ::String, ::String, ::String **)** at **/Users/xzhong/scripts/julia/demux\_func.jl:46**
[3] top-level scope at **./timing.jl:174**
[4] **include(** ::Function, ::Module, ::String **)** at **./Base.jl:380**
[5] **include(** ::Module, ::String **)** at **./Base.jl:368**
[6] **exec\_options(** ::Base.JLOptions **)** at **./client.jl:296**
[7] **\_start()** at **./client.jl:506**
in expression starting at /Users/xzhong/scripts/julia/demux\_func.jl:61
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### Author:  [@Xiao](https://discourse.julialang.org/u/Xiao)
#### Post date: [March 16, 2021, 5:09am UTC](https://discourse.julialang.org/t/loaderror-methoderror-cannot-convert-an-object-of-type-array-float64-2-to-an-object-of-type-easyfits-fitsimage-float64-2/57097/4 "2021-03-16T05:09:08Z")
> [@Xiao](#):
>
> `output_dict[sample] = record`
I can print out the ‘record’ as what I want, but cannot build a key-value pair.
I’m new to Julia. Any suggestions are welcome! Thank you!
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### Author:  [@assia855](https://discourse.julialang.org/u/assia855)
#### Post date: [March 17, 2021, 8:20pm UTC](https://discourse.julialang.org/t/loaderror-methoderror-cannot-convert-an-object-of-type-array-float64-2-to-an-object-of-type-easyfits-fitsimage-float64-2/57097/5 "2021-03-17T20:20:48Z")
I resolved this error on my code by adding “get(Array,…)”:
reader = get(Array,FASTQ.Reader(GzipDecompressorStream(open(fastq\_file))))