slice

How does type conversion internally work? What is the memory utilization for the same?

巧了我就是萌 提交于 2020-05-08 04:31:07
问题 How does Go type conversion internally work? What is the memory utilisation for a type cast? For example: var str1 string str1 = "26MB string data" byt := []byte(str1) str2 := string(byt) whenever I type convert any variable, will it consume more memory? I am concerned about this because when I try to unmarshall, I get " fatal error: runtime: out of memory " err = json.Unmarshal([]byte(str1), &obj) str1 value comes from HTTP response, but read using ioutils.ReadAll, hence it contains the

Select multiple sections of rows by index in pandas

此生再无相见时 提交于 2020-04-11 04:16:30
问题 I have large DataFrame with GPS path and some attributes. A few sections of the path are those which I need to analyse. I would like to subset only those sections to a new DataFrame. I can subset one section at the time but the idea is to have them all and to have an original index. The problem is similar to: import pandas as pd df = pd.DataFrame({'A':[0,1,2,3,4,5,6,7,8,9],'B':['a','b','c','d','e','f','g','h','i','j']}, index=range(10,20,)) I want o get something like: cdf = df.loc[[11:13] &

Select multiple sections of rows by index in pandas

[亡魂溺海] 提交于 2020-04-11 04:16:02
问题 I have large DataFrame with GPS path and some attributes. A few sections of the path are those which I need to analyse. I would like to subset only those sections to a new DataFrame. I can subset one section at the time but the idea is to have them all and to have an original index. The problem is similar to: import pandas as pd df = pd.DataFrame({'A':[0,1,2,3,4,5,6,7,8,9],'B':['a','b','c','d','e','f','g','h','i','j']}, index=range(10,20,)) I want o get something like: cdf = df.loc[[11:13] &

Select multiple sections of rows by index in pandas

ⅰ亾dé卋堺 提交于 2020-04-11 04:15:53
问题 I have large DataFrame with GPS path and some attributes. A few sections of the path are those which I need to analyse. I would like to subset only those sections to a new DataFrame. I can subset one section at the time but the idea is to have them all and to have an original index. The problem is similar to: import pandas as pd df = pd.DataFrame({'A':[0,1,2,3,4,5,6,7,8,9],'B':['a','b','c','d','e','f','g','h','i','j']}, index=range(10,20,)) I want o get something like: cdf = df.loc[[11:13] &

slice iteration order in go

杀马特。学长 韩版系。学妹 提交于 2020-04-10 06:31:21
问题 Ok, i think this may be an old question, but i didn't find anything over the stackoverflow. In go , the iteration order over a map is not guranteed to be reproducible. So, the way suggest is to hold the keys in a slice and sort that slice. Then iterate over that slice to retrieve the values from the map, so that we get them in order(since slice composed of keys is sorted, so will be in reproducible order). So this goes to imply that the slice need be sorted else iteration over the slice will

Go语言规范(类型)

百般思念 提交于 2020-04-07 12:30:10
原文: http://golang.org/doc/go_spec.html 翻译: 红猎人 (zengsai@gmail.com) Boolean types 布尔类型 A boolean type represents the set of Boolean truth values denoted by the predeclared constants true and false . The predeclared boolean type is bool . 布尔类型由预定义的常量 true 和 false 组成,预定义的布尔类型是 bool。 Numeric types 数字类型 A numeric type represents sets of integer or floating-point values. The predeclared architecture-independent numeric types are: 数字类型代表一个数字或浮点值的集合。预定义的类型是: uint8 the set of all unsigned 8-bit integers (0 to 255) uint16 the set of all unsigned 16-bit integers (0 to 65535) uint32 the set of all

GO语言数组和切片实例详解

☆樱花仙子☆ 提交于 2020-04-06 23:10:26
一、数组   与其他大多数语言类似,Go语言的数组也是一个元素类型相同的定长的序列。 (1)数组的创建。 数组有3种创建方式:[length]Type 、[N]Type{value1, value2, ... , valueN}、[...]Type{value1, value2, ... , valueN} 如下: 复制代码 代码如下: func test5() { var iarray1 [5]int32 var iarray2 [5]int32 = [5]int32{1, 2, 3, 4, 5} iarray3 := [5]int32{1, 2, 3, 4, 5} iarray4 := [5]int32{6, 7, 8, 9, 10} iarray5 := [...]int32{11, 12, 13, 14, 15} iarray6 := [4][4]int32{{1}, {1, 2}, {1, 2, 3}} fmt.Println(iarray1) fmt.Println(iarray2) fmt.Println(iarray3) fmt.Println(iarray4) fmt.Println(iarray5) fmt.Println(iarray6) } 结果: [0 0 0 0 0] [1 2 3 4 5] [1 2 3 4 5] [6 7 8 9 10] [11 12

slice for 循环中删除元素

爷,独闯天下 提交于 2020-04-06 22:48:00
slice for 循环中删除元素 方法1 Golang Delete Slice Item in Range Problem chars := []string{"a", "a", "b"} for i := 0; i < len(chars); i++ { if chars[i] == "a" { chars = append(chars[:i], chars[i+1:]...) i-- // form the remove item index to start iterate next item } } fmt.Printf("%+v", chars) 方法二 Find and delete elements from slice in golang p := []int{1, -13, 9, 6, -21, 125} j := 0 for _, n := range p { if n >= 0 { p[j] = n j++ } } p = p[:j] 不改原slice p := []int{1, -13, 9, 6, -21, 125} j := 0 q := make([]int, len(p)) for _, n := range p { if n >= 0 { q[j] = n j++ } } q = q[:j] // q is copy with numbers

slice的append的“坑”2

我的梦境 提交于 2020-04-06 03:37:24
先看一个小例子: func main() { a := make([]int, 2, 2) a[0], a[1] = 1, 2 b := append(a[0:1], 3) c := append(a[1:2], 4) fmt.Println(b,c) } 在这个小例子中,原本是希望将 a[0:1] 作为b的前缀,然后追加上3;将 a[1:2] 作为c的前缀,然后追加上4。但实际上输出结果并不是原本期望的 [1 3] [2 4] ,而变成了 [1 3] [3 4] 。这是为什么呢? 我们知道数据结构中数组是非常高效的,可以直接寻址,但是有个缺陷,难以扩容。所以slice被设计为指向数组的指针,在需要扩容时,会将底层数组上的值复制到一个更大的数组上然后指向这个新数组。 slice有个特性是允许多个slice指向同一个底层数组,这是一个有用的特性,在很多场景下都能通过这个特性实现 no copy 而提高效率。但共享同时意味着不安全。b在追加3时实际上覆盖了 a[1] ,导致c变成了 [3 4] 。 怎么解决呢?防止共享数据的出现问题需要注意两条,只读和复制,或者统一归纳为不可变。 写法1,make出一个新slice,然后先copy前缀到新数组上再追加: func main() { a := make([]int, 2, 2) a[0], a[1] = 1, 2 b := make([

golang slice的append的“坑”

落爺英雄遲暮 提交于 2020-04-06 03:31:15
golang中的slice有一个很多人都知道的“坑”: package main func main () { //初始化两个slice s1 := make ([] int , 3 , 4 ) s2 := s1 [: 2 ] s2 [ 0 ] ++ println ( s1 [ 0 ] == s2 [ 0 ]) //true s1 = append ( s1 , 0 ) s2 [ 0 ] ++ println ( s1 [ 0 ] == s2 [ 0 ]) //true s1 = append ( s1 , 0 ) s2 [ 0 ] ++ println ( s1 [ 0 ] == s2 [ 0 ]) //false } s2是s1的slice(或者说是从s1衍生出的切片),原本二者引用同一片空间(对s2[0]的改动同步到了s1[0]),但随着s1的不断append,两次之后二者就“脱节”了,之后对一个的元素改动就不能同步到另一个了 对于熟悉slice机制的人来说这没什么秘密可言,原理差不多是这样: 初始化时,s1的make创建了一个匿名数组,大小为4,s1引用前三个元素,s2通过s1[:2]的切片引用到了数组的前两个元素,这时候对s2[0]的改动自然会影响到s1[0](第一个true): 第一次对s1 append时,由于s1的cap是4,所引用的数组切片后面还有空间