df = pd.read_csv(filename, skiprows=1)
但我不知道如何在Go中进行操作。
package main
import (
"encoding/csv"
"fmt"
"log"
"os"
)
type mwericsson struct {
id string
name string
region string
}
func main() {
rows := readSample()
fmt.Println(rows)
//appendSum(rows)
//writeChanges(rows)
}
func readSample() [][]string {
f, err := os.Open("D:/in/20190629/PM_IG30014_15_201906290015_01.csv")
if err != nil {
log.Fatal(err)
}
rows, err := csv.NewReader(f).ReadAll()
f.Close()
if err != nil {
log.Fatal(err)
}
return rows
}
Error:
2019/07/01 12:38:40 record on line 2: wrong number of fields
PM_IG30014_15_201906290015_01.csv
:
PTN Ethernet-Port RMON Performance,PORT_BW_UTILIZATION,2019-06-29 20:00:00,33366
DeviceID,DeviceName,ResourceName,CollectionTime,GranularityPeriod,PORT_RX_BW_UTILIZATION,PORT_TX_BW_UTILIZATION,RXGOODFULLFRAMESPEED,TXGOODFULLFRAMESPEED,PORT_RX_BW_UTILIZATION_MAX,PORT_TX_BW_UTILIZATION_MAX
3174659,H1095,H1095-11-ISM6-1(to ZJBSC-V1),2019-06-29 20:00:00,15,22.08,4.59,,,30.13,6.98
3174659,H1095,H1095-14-ISM6-1(to T6147-V),2019-06-29 20:00:00,15,2.11,10.92,,,4.43,22.45
skip the first row when reading a csv file
For example,
package main
import (
"bufio"
"encoding/csv"
"fmt"
"io"
"os"
)
func readSample(rs io.ReadSeeker) ([][]string, error) {
// Skip first row (line)
row1, err := bufio.NewReader(rs).ReadSlice('
')
if err != nil {
return nil, err
}
_, err = rs.Seek(int64(len(row1)), io.SeekStart)
if err != nil {
return nil, err
}
// Read remaining rows
r := csv.NewReader(rs)
rows, err := r.ReadAll()
if err != nil {
return nil, err
}
return rows, nil
}
func main() {
f, err := os.Open("sample.csv")
if err != nil {
panic(err)
}
defer f.Close()
rows, err := readSample(f)
if err != nil {
panic(err)
}
fmt.Println(rows)
}
Output:
$ cat sample.csv
one,two,three,four
1,2,3
4,5,6
$ go run sample.go
[[1 2 3] [4 5 6]]
$
$ cat sample.csv
PTN Ethernet-Port RMON Performance,PORT_BW_UTILIZATION,2019-06-29 20:00:00,33366
DeviceID,DeviceName,ResourceName,CollectionTime,GranularityPeriod,PORT_RX_BW_UTILIZATION,PORT_TX_BW_UTILIZATION,RXGOODFULLFRAMESPEED,TXGOODFULLFRAMESPEED,PORT_RX_BW_UTILIZATION_MAX,PORT_TX_BW_UTILIZATION_MAX
3174659,H1095,H1095-11-ISM6-1(to ZJBSC-V1),2019-06-29 20:00:00,15,22.08,4.59,,,30.13,6.98
3174659,H1095,H1095-14-ISM6-1(to T6147-V),2019-06-29 20:00:00,15,2.11,10.92,,,4.43,22.45
$ go run sample.go
[[DeviceID DeviceName ResourceName CollectionTime GranularityPeriod PORT_RX_BW_UTILIZATION PORT_TX_BW_UTILIZATION RXGOODFULLFRAMESPEED TXGOODFULLFRAMESPEED PORT_RX_BW_UTILIZATION_MAX PORT_TX_BW_UTILIZATION_MAX] [3174659 H1095 H1095-11-ISM6-1(to ZJBSC-V1) 2019-06-29 20:00:00 15 22.08 4.59 30.13 6.98] [3174659 H1095 H1095-14-ISM6-1(to T6147-V) 2019-06-29 20:00:00 15 2.11 10.92 4.43 22.45]]
$
Simply call Reader.Read()
to read a line, then proceed to read the rest with Reader.ReadAll()
.
See this example:
src := "one,two,three
1,2,3
4,5,6"
r := csv.NewReader(strings.NewReader(src))
if _, err := r.Read(); err != nil {
panic(err)
}
records, err := r.ReadAll()
if err != nil {
panic(err)
}
fmt.Println(records)
Output (try it on the Go Playground):
[[1 2 3] [4 5 6]]