Translate numpy digitize function into go

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英文:

Translate numpy digitize function into go

问题

Digitize函数返回输入数组中每个值所属的箱子的索引。

以下是Python代码示例 -

x = np.array([0.8, 6.9, 3.5, 1.9])
bins = np.array([0.0, 1.0, 2.5, 4.0, 10.0])
inds = np.digitize(x, bins)
print(inds)
array([1, 4, 3, 2])
英文:

Digitize function return the indices of the bins to which each value in input array belongs.

Below code is from python -

x = np.array([0.8, 6.9, 3.5, 1.9])
bins = np.array([0.0, 1.0, 2.5, 4.0, 10.0])
inds = np.digitize(x, bins)
print(inds)
array([1, 4, 3, 2])

答案1

得分: 2

这是代码:

package main

import (
   "fmt"
   "sort"
)

func digitize(x, bins []float64) []int {
   inds := make([]int, len(x))
   for k, v := range x {
      inds[k] = sort.SearchFloat64s(bins, v)
   }
   return inds
}

func main() {
   x := []float64{0.8, 6.9, 3.5, 1.9}
   bins := []float64{0, 1, 2.5, 4, 10}
   inds := digitize(x, bins)
   fmt.Println(inds) // [1 4 3 2]
}

https://golang.org/pkg/sort#SearchFloat64s

英文:

This does it:

package main

import (
   "fmt"
   "sort"
)

func digitize(x, bins []float64) []int {
   inds := make([]int, len(x))
   for k, v := range x {
      inds[k] = sort.SearchFloat64s(bins, v)
   }
   return inds
}

func main() {
   x := []float64{0.8, 6.9, 3.5, 1.9}
   bins := []float64{0, 1, 2.5, 4, 10}
   inds := digitize(x, bins)
   fmt.Println(inds) // [1 4 3 2]
}

https://golang.org/pkg/sort#SearchFloat64s

答案2

得分: 0

package main

import (
	"errors"
	"fmt"
	"sort"
)

type arr []float64

func (a arr) Less(i, j int) bool {
	return a[i] < a[j]
}

func (in arr) digitize(bins arr) ([]int, error) {
	if !sort.SliceIsSorted(bins, bins.Less) {
		return nil, errors.New("bins数组未排序")
	}

	indices := make([]int, len(in))
	for i, x := range in {
		indices[i] = sort.SearchFloat64s(bins, x)
	}

	return indices, nil
}

func main() {
	var (
		x    = arr{0.8, 6.9, 3.5, 1.9}
		bins = arr{0.0, 1.0, 2.5, 4.0, 10.0}
	)

	indices, err := x.digitize(bins)
	if err != nil {
		panic(err)
	}

	fmt.Println(indices)
}

参考:https://golang.org/pkg/sort#SearchFloat64s

SearchFloat64s 在已排序的 float64 切片中搜索 x,并根据 Search 的规定返回索引。返回值是要插入 x 的索引(如果 x 不存在,则为 len(a))。切片必须按升序排序。

英文:
package main

import (
	&quot;errors&quot;
	&quot;fmt&quot;
	&quot;sort&quot;
)

type arr []float64

func (a arr) Less(i, j int) bool {
	return a[i] &lt; a[j]
}

func (in arr) digitize(bins arr) ([]int, error) {
	if !sort.SliceIsSorted(bins, bins.Less) {
		return nil, errors.New(&quot;bins array is not sorted&quot;)
	}

	indices := make([]int, len(in))
	for i, x := range in {
		indices[i] = sort.SearchFloat64s(bins, x)
	}

	return indices, nil
}

func main() {
	var (
		x    = arr{0.8, 6.9, 3.5, 1.9}
		bins = arr{0.0, 1.0, 2.5, 4.0, 10.0}
	)

	indices, err := x.digitize(bins)
	if err != nil {
		panic(err)
	}

	fmt.Println(indices)
}

Ref: https://golang.org/pkg/sort#SearchFloat64s

> SearchFloat64s searches for x in a sorted slice of float64s and returns the index as specified by Search. The return value is the index to insert x if x is not present (it could be len(a)). The slice must be sorted in ascending order.

huangapple
  • 本文由 发表于 2021年7月4日 10:41:17
  • 转载请务必保留本文链接:https://go.coder-hub.com/68241274.html
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