我在这段Go代码中苦苦挣扎。我一直在到处搜索,但是不明白这是怎么回事。
错误消息是:语法错误:语句末尾出现意外的int
靠近底部的那一行:func (TOHLCV TOHLCVs) Len() int {
对于第二行到最后一行代码,我也有此错误消息:
syntax error: non-declaration statement outside function body
如果2个错误相关联
package main
import (
"fmt"
"time"
"strconv"
//from https://github.com/pplcc/plotext/
"log"
"os"
"github.com/360EntSecGroup-Skylar/excelize"
"github.com/pplcc/plotext/custplotter"
"gonum.org/v1/plot"
"github.com/pplcc/plotext"
"gonum.org/v1/plot/vg/vgimg"
"gonum.org/v1/plot/vg/draw"
)
// Len implements the Len method of the TOHLCVer interface.
func (TOHLCV TOHLCVs) Len() int {
return len(TOHLCV)
func main() {
//read excel file******************************************
xlsx, err := excelize.OpenFile("/media/Snaps/test snaps.xlsm")
if err != nil {
fmt.Println(err)
return
}
//read all rows into df
df := xlsx.GetRows("ticker_2")
type TOHLCVer interface {
// Len returns the number of time, open, high, low, close, volume tuples.
Len() int
// TOHLCV returns an time, open, high, low, close, volume tuple.
TOHLCV(int) (float64, float64, float64, float64, float64, float64)
}
type TOHLCVs []struct{ T, O, H, L, C, V float64 }
// Len implements the Len method of the TOHLCVer interface.
func (TOHLCV TOHLCVs) Len() int {
return len(TOHLCV)
}
df3 := make(TOHLCVs, 60) // create slice for 60 rows
idx := 0
此代码改编自: https://github.com/pplcc/plotext/blob/master/custplotter/tohlcv.go
答案 0 :(得分:0)
函数声明需要移出其他函数,例如this:
package main
import (
"fmt"
"github.com/360EntSecGroup-Skylar/excelize"
)
type TOHLCVer interface {
// Len returns the number of time, open, high, low, close, volume tuples.
Len() int
// TOHLCV returns an time, open, high, low, close, volume tuple.
TOHLCV(int) (float64, float64, float64, float64, float64, float64)
}
type TOHLCVs []struct{ T, O, H, L, C, V float64 }
// Len implements the Len method of the TOHLCVer interface.
func (TOHLCV TOHLCVs) Len() int {
return len(TOHLCV)
}
func main() {
//read excel file******************************************
xlsx, err := excelize.OpenFile("/media/Snaps/test snaps.xlsm")
if err != nil {
fmt.Println(err)
return
}
//read all rows into df
df := xlsx.GetRows("ticker_2")
df3 := make(TOHLCVs, 60) // create slice for 60 rows
idx := 0
}
类型声明可以在函数内部。但是,在这种情况下,让他们在外面更有意义。在某些情况下,在另一个函数中声明一个函数会有所帮助:
(我不确定您要查找的确切逻辑-上面的代码尚未执行任何操作。我还将警告不要创建接口,除非您需要它。)
答案 1 :(得分:0)
因此,根据@Tyler Bui-Palsulich和@aec的回答,我的代码现在如下所示,并且不再显示错误消息:-),谢谢大家!
package main
import (
"fmt"
"time"
"strconv"
//from https://github.com/pplcc/plotext/
"log"
"os"
"github.com/360EntSecGroup-Skylar/excelize"
"github.com/pplcc/plotext/custplotter"
//"github.com/pplcc/plotext/examples"
"gonum.org/v1/plot"
"github.com/pplcc/plotext"
"gonum.org/v1/plot/vg/vgimg"
"gonum.org/v1/plot/vg/draw"
)
// Len implements the Len method of the TOHLCVer interface.
//func (TOHLCV TOHLCVs) Len() int {
// return len(TOHLCV)
//}
type TOHLCVer interface {
// Len returns the number of time, open, high, low, close, volume tuples.
Len() int
// TOHLCV returns an time, open, high, low, close, volume tuple.
TOHLCV(int) (float64, float64, float64, float64, float64, float64)
}
type TOHLCVs []struct{ T, O, H, L, C, V float64 }
// Len implements the Len method of the TOHLCVer interface.
func (TOHLCV TOHLCVs) Len() int {
return len(TOHLCV)
}
// TOHLCV implements the TOHLCV method of the TOHLCVer interface.
func (TOHLCV TOHLCVs) TOHLCV(i int) (float64, float64, float64, float64, float64, float64) {
return TOHLCV[i].T, TOHLCV[i].O, TOHLCV[i].H, TOHLCV[i].L, TOHLCV[i].C, TOHLCV[i].V
}
func main() {
start := time.Now()
//create data for each chart****************************************************
//******************************************************************************
//read excel file******************************************
xlsx, err := excelize.OpenFile("/media/hugues/M.2 windows/Hugues/Snaps/test snaps.xlsm")
if err != nil {
fmt.Println(err)
return
}
//read all rows into df
df := xlsx.GetRows("ticker_2")
df3 := make(TOHLCVs, 60) // create slice for 60 rows
idx := 0
for _, row := range df[1:61] { // read 60 rows
df3[idx].T, err = strconv.ParseFloat(row[28], 64)
df3[idx].O, err = strconv.ParseFloat(row[29], 64)
df3[idx].H, err = strconv.ParseFloat(row[30], 64)
df3[idx].L, err = strconv.ParseFloat(row[31], 64)
df3[idx].C, err = strconv.ParseFloat(row[32], 64)
df3[idx].V, err = strconv.ParseFloat(row[33], 64)
idx++
}