Reputation: 223
I'm writing out two sets of data to one CSV in Go. Right now, using csv.NewWriter
, I can write them to the same columns. This is not ideal, I would like them side-by-side, the second dataset in adjacent columns. Here's what I'm doing now:
csvOut, _ := os.Create("Summary.csv")
writer := csv.NewWriter(csvOut)
for _, value := range dataset1 {
writer.Write(value)
}
writer.Flush()
for _, value := range dataset2 {
writer.Write(value)
}
writer.Flush()
I know the normal writer has some offset options, does the csv
writer have anything similar?
Upvotes: 2
Views: 4414
Reputation: 2771
Loop over the source data set records seem inevitable, but you could set the record ready and then use the WriteAll
function.
That would lead to a different design, which takes [][]string
as input, no matter how many data set are there.
heads := []string{"first_name", "last_name"}
dataSet1 := []string{"Tom", "Jack", "James"}
dataSet2 := []string{"Hanks", "Sparrow", "Blunt"}
var records [][]string
records = append(records, heads)
for i := range dataSet1 {
record := []string{dataSet1[i], dataSet2[i]}
records = append(records, record)
}
w := csv.NewWriter(os.Stdout)
w.WriteAll(records) // calls Flush internally
if err := w.Error(); err != nil {
log.Fatalln("error writing csv:", err)
}
Output:
first_name,last_name
Tom,Hanks
Jack,Sparrow
James,Blunt
https://go.dev/play/p/snk_bsVDtwI
Upvotes: 2
Reputation: 120999
Loop over the source data set records. Concatenate the records from each data set to create an output record. Write the output record to the file.
csvOut, _ := os.Create("Summary.csv")
writer := csv.NewWriter(csvOut)
var record []string // declare record outside loop to reduce allocations
for i := range dataset1 {
record = append(record[:0], dataset1[i]...) // copy data set 1 to beginning of output record
record = append(record, dataset2[i]...) // append data set 2 to output record
writer.Write(record)
}
writer.Flush()
This code assumes that len(dataset1) == len(dataset2)
. If this is not true, then modify the code per application requirements (add empty values, truncate to shorter dataset, ...)
Upvotes: 4