pandas

package module
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 Go to latest Published: Feb 12, 2023 License: Apache-2.0 Imports: 26 Imported by: 32

README

pandas

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1. 介绍

golang版本的pandas

2. 功能/模块划分

2.1 特性列表
模块 一级功能 二级功能 进展情况
dataframe dataframe new [√]
dataframe 类型约束 string [√]
dataframe 类型约束 bool [√]
dataframe 类型约束 int64 [√]
dataframe 类型约束 float64 [√]
dataframe 泛型类型 支持全部的基础类型 [√]
dataframe 泛型类型 自动检测类型 [√] 优先级:string > bool > float > int
dataframe align series长度自动对齐 [√]
dataframe col 选择 [√]
dataframe col 新增1列 [√]
dataframe row 删除多行 [√]
dataframe name 改名, 支持单一列改名 [√]
series series new [√] series的列元素类型和reflect.Kind保持一致
series 伪泛型 构建 [√] 再新建series完成之后类型就确定了
series SeriesBool bool类型 [√]
series SeriesString string类型 [√]
series SeriesInt64 int64类型 [√]
series SeriesFloat64 float64类型 [√]
series rolling 支持序列化参数 [√]

3. 示例

3.1. dataframe
3.2. series

4. 参考的的代码:

Documentation

Index

Constants

View Source 
const (
	SERIES_TYPE_INVAILD = reflect.Invalid // 无效类型
	SERIES_TYPE_BOOL    = reflect.Bool    // 布尔类型
	SERIES_TYPE_INT64   = reflect.Int64   // int64
	SERIES_TYPE_FLOAT32 = reflect.Float32 // float32
	SERIES_TYPE_FLOAT64 = reflect.Float64 // float64
	SERIES_TYPE_DTYPE   = SERIES_TYPE_FLOAT64
	SERIES_TYPE_STRING  = reflect.String // string
)

Supported Series Types

View Source 
const (
	MAX_FLOAT32_PRICE = float32(9999.9999) // float32的价最大阀值触发扩展到float64
)

Variables

View Source 
var (
	// Nil2Float64 nil指针转换float64
	Nil2Float64 = float64(0)
	// Nil2Float32 nil指针转换float32
	Nil2Float32 = float32(0)
)
View Source 
var (
	ErrUnsupportedType = exception.New(0, "Unsupported type")
)
View Source 
var (
	// IgnoreParseExceptions 忽略解析异常
	IgnoreParseExceptions bool = true
)

Functions

func IsEmpty 

func IsEmpty(s string) bool

IsEmpty Code to test if string is empty

func IsNaN 

func IsNaN(f float64) bool

IsNaN float64是否NaN

func Mean 

func Mean[T Number](x []T) float64

Mean gonum.org/v1/gonum/stat不支持整型, 每次都要转换有点难受啊

func NaN 

func NaN() float64

NaN returns an IEEE 754 “not-a-number” value.

func Repeat 

func Repeat[T GenericType](a T, n int) []T

Repeat 重复生成a

func Repeat2 

func Repeat2[T GenericType](dst []T, a T, n int) []T

Repeat2 重复生成a

func SetParseExceptions 

func SetParseExceptions(enabled bool)

SetParseExceptions 设置处理解析异常的开关

func SliceToFloat32 added in v0.6.4 

func SliceToFloat32(v any) []float32

SliceToFloat32 any输入只能是一维slice或者数组

func ToBool added in v0.6.4 

func ToBool(s Series) []bool

func ToFloat32 added in v0.6.4 

func ToFloat32(s Series) []float32

func ToFloat64 added in v0.6.4 

func ToFloat64(s Series) []float64

Types

type AlphaType 

type AlphaType int
const (
	// AlphaAlpha Specify smoothing factor α directly, 0<α≤1.
	AlphaAlpha AlphaType = iota
	// AlphaCom Specify decay in terms of center of mass, α=1/(1+com), for com ≥ 0.
	AlphaCom
	// AlphaSpan Specify decay in terms of span, α=2/(span+1), for span ≥ 1.
	AlphaSpan
	// AlphaHalfLife Specify decay in terms of half-life, α=1−exp(−ln(2)/halflife), for halflife > 0.
	AlphaHalfLife
)

https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.ewm.html

type BigFloat added in v0.6.2 

type BigFloat = big.Float // 预留将来可能扩展float

type Complex added in v0.6.4 

type Complex interface {
	~complex64 | ~complex128
}

Complex is a constraint that permits any complex numeric type. If future releases of Go add new predeclared complex numeric types, this constraint will be modified to include them.

type DataFrame 

type DataFrame struct {

	// deprecated: Use Error() instead
	Err error
	// contains filtered or unexported fields
}

DataFrame 以gota的DataFrame的方法为主, 兼顾新流程, 避免单元格元素结构化

func LoadMaps added in v0.6.4 

func LoadMaps(maps []map[string]interface{}, options ...LoadOption) DataFrame

LoadMaps creates a new DataFrame based on the given maps. This function assumes that every map on the array represents a row of observations.

func LoadMatrix added in v0.6.4 

func LoadMatrix(mat mat.Matrix) DataFrame

LoadMatrix loads the given Matrix as a DataFrame TODO: Add Loadoptions

func LoadRecords 

func LoadRecords(records [][]string, options ...LoadOption) DataFrame

LoadRecords creates a new DataFrame based on the given records. 这个方法是从本地缓存文件读取数据的第二步, 数据从形式上只能是字符串

func LoadStructs 

func LoadStructs(i interface{}, options ...LoadOption) DataFrame

LoadStructs creates a new DataFrame from arbitrary struct slices.

LoadStructs will ignore unexported fields inside an struct. Note also that unless otherwise specified the column names will correspond with the name of the field.

You can configure each field with the `dataframe:"name[,type]"` struct tag. If the name on the tag is the empty string `""` the field name will be used instead. If the name is `"-"` the field will be ignored.

Examples: 

// field will be ignored
field int

// Field will be ignored
Field int `dataframe:"-"`

// Field will be parsed with column name Field and type int
Field int

// Field will be parsed with column name `field_column` and type int.
Field int `dataframe:"field_column"`

// Field will be parsed with column name `field` and type string.
Field int `dataframe:"field,string"`

// Field will be parsed with column name `Field` and type string.
Field int `dataframe:",string"`

If the struct tags and the given LoadOptions contradict each other, the later will have preference over the former.

func NewDataFrame 

func NewDataFrame(se ...Series) DataFrame

NewDataFrame is the generic DataFrame constructor

func ReadCSV 

func ReadCSV(in any, options ...LoadOption) DataFrame

ReadCSV reads a CSV file from a io.Reader and builds a DataFrame with the resulting records. 支持文件名和io两种方式读取数据

func ReadExcel added in v0.6.4 

func ReadExcel(filename string, options ...LoadOption) DataFrame

读取excel文件

func (DataFrame) Col added in v0.6.3 

func (self DataFrame) Col(colname string) Series

Col returns a copy of the Series with the given column name contained in the DataFrame. 选取一列

func (DataFrame) Dims 

func (self DataFrame) Dims() (int, int)

Dims retrieves the dimensions of a DataFrame.

func (DataFrame) Error 

func (self DataFrame) Error() error

Returns error or nil if no error occured

func (DataFrame) FillNa added in v0.6.2 

func (self DataFrame) FillNa(v any, inplace bool)

FillNa dataframe实现FillNa

func (DataFrame) Join added in v0.6.3 

func (self DataFrame) Join(series Series) DataFrame

Join 默认右连接, 加入一个series

func (DataFrame) Names 

func (self DataFrame) Names() []string

Names returns the name of the columns on a DataFrame.

func (DataFrame) Ncol 

func (self DataFrame) Ncol() int

Ncol returns the number of columns on a DataFrame.

func (DataFrame) Nrow 

func (self DataFrame) Nrow() int

Nrow returns the number of rows on a DataFrame.

func (DataFrame) Records 

func (self DataFrame) Records() [][]string

Records return the string record representation of a DataFrame.

func (DataFrame) Remove added in v0.6.3 

func (self DataFrame) Remove(p ScopeLimit) DataFrame

Remove 删除一段范围内的记录

func (DataFrame) Select added in v0.6.3 

func (df DataFrame) Select(indexes SelectIndexes) DataFrame

Select the given DataFrame columns

func (DataFrame) SelectRows added in v0.6.4 

func (self DataFrame) SelectRows(p ScopeLimit) DataFrame

Select 选择一段记录

func (DataFrame) SetName added in v0.6.3 

func (self DataFrame) SetName(from string, to string)

SetName 修改一个series的名称

func (DataFrame) SetNames added in v0.6.3 

func (self DataFrame) SetNames(colnames ...string) error

SetNames changes the column names of a DataFrame to the ones passed as an argument. 修改全部的列名

func (DataFrame) String 

func (self DataFrame) String() (str string)

String implements the Stringer interface for DataFrame

func (DataFrame) Subset 

func (self DataFrame) Subset(start, end int) DataFrame

Subset returns a subset of the rows of the original DataFrame based on the Series subsetting indexes.

func (DataFrame) Types 

func (self DataFrame) Types() []string

Types returns the types of the columns on a DataFrame.

func (DataFrame) WriteCSV 

func (self DataFrame) WriteCSV(out any, options ...WriteOption) error

WriteCSV writes the DataFrame to the given io.Writer as a CSV file. 支持文件名和io两种方式写入数据

func (DataFrame) WriteExcel added in v0.6.4 

func (self DataFrame) WriteExcel(filename string, options ...WriteOption) error

WriteExcel 支持文件名和io两种方式写入数据

type EW 

type EW struct {
	Com      stat.DType // 根据质心指定衰减
	Span     stat.DType // 根据跨度指定衰减
	HalfLife stat.DType // 根据半衰期指定衰减
	Alpha    stat.DType // 直接指定的平滑因子α
	Adjust   bool       // 除以期初的衰减调整系数以核算 相对权重的不平衡（将 EWMA 视为移动平均线）
	IgnoreNA bool       // 计算权重时忽略缺失值
	Callback func(idx int) stat.DType
}

EW (Factor) 指数加权(EW)计算Alpha 结构属性非0即为有效启动同名算法

type ExponentialMovingWindow 

type ExponentialMovingWindow struct {
	// contains filtered or unexported fields
}

ExponentialMovingWindow 加权移动窗口

func (ExponentialMovingWindow) Mean 

func (w ExponentialMovingWindow) Mean() Series

type Float added in v0.6.2 

type Float interface {
	~float32 | ~float64
}

Float is a constraint that permits any floating-point type. If future releases of Go add new predeclared floating-point types, this constraint will be modified to include them.

type GenericType 

type GenericType interface {
	~bool | ~int64 | ~float32 | ~float64 | ~string
}

GenericType Series支持的所有类型

type Integer added in v0.6.4 

type Integer interface {
	Number8 | Number16 | Number32 | Number64
}

type Integer_old added in v0.6.4 

type Integer_old interface {
	Signed | Unsigned
}

Integer_old Integer is a constraint that permits any integer type. If future releases of Go add new predeclared integer types, this constraint will be modified to include them.

type LoadOption 

type LoadOption func(*loadOptions)

LoadOption is the type used to configure the load of elements

func DefaultType 

func DefaultType(t Type) LoadOption

DefaultType sets the defaultType option for loadOptions.

func DetectTypes 

func DetectTypes(b bool) LoadOption

DetectTypes sets the detectTypes option for loadOptions.

func HasHeader 

func HasHeader(b bool) LoadOption

HasHeader sets the hasHeader option for loadOptions.

func NaNValues 

func NaNValues(nanValues []string) LoadOption

NaNValues sets the nanValues option for loadOptions.

func Names 

func Names(names ...string) LoadOption

Names sets the names option for loadOptions.

func WithComments 

func WithComments(b rune) LoadOption

WithComments sets the csv comment line detect to remove lines

func WithDelimiter 

func WithDelimiter(b rune) LoadOption

WithDelimiter sets the csv delimiter other than ',', for example '\t'

func WithLazyQuotes 

func WithLazyQuotes(b bool) LoadOption

WithLazyQuotes sets csv parsing option to LazyQuotes

func WithTypes 

func WithTypes(coltypes map[string]Type) LoadOption

WithTypes sets the types option for loadOptions.

type NDFrame 

type NDFrame struct {
	// contains filtered or unexported fields
}

NDFrame 这里本意是想做一个父类, 实际的效果是一个抽象类

func FillNa added in v0.6.2 

func FillNa[T GenericType](s *NDFrame, v T, inplace bool) *NDFrame

FillNa 填充NaN的元素为v inplace为真是修改series元素的值 如果v和Values()返回值的slice类型不一致就会panic

func NewNDFrame 

func NewNDFrame[E GenericType](name string, rows ...E) *NDFrame

func (*NDFrame) Append added in v0.6.3 

func (self *NDFrame) Append(values ...any)

Append 批量增加记录

func (*NDFrame) Apply added in v0.6.3 

func (self *NDFrame) Apply(f func(idx int, v any))

func (*NDFrame) AsInt added in v0.6.4 

func (self *NDFrame) AsInt() []stat.Int

AsInt 强制转换成整型

func (*NDFrame) Copy 

func (self *NDFrame) Copy() Series

Copy 复制一个副本

func (*NDFrame) DTypes added in v0.6.4 

func (self *NDFrame) DTypes() []stat.DType

DTypes 计算以这个函数为主

func (*NDFrame) Diff added in v0.6.3 

func (self *NDFrame) Diff(param any) (s Series)

Diff 元素的第一个离散差 First discrete difference of element. Calculates the difference of a {klass} element compared with another element in the {klass} (default is element in previous row).

func (*NDFrame) EWM added in v0.6.4 

func (s *NDFrame) EWM(alpha EW) ExponentialMovingWindow

EWM provides exponential weighted calculations.

func (*NDFrame) Empty 

func (self *NDFrame) Empty() Series

func (*NDFrame) FillNa added in v0.6.2 

func (self *NDFrame) FillNa(v any, inplace bool) Series

func (*NDFrame) Float added in v0.6.4 

func (self *NDFrame) Float() []float32

func (*NDFrame) Len 

func (self *NDFrame) Len() int

Len 获得行数, 实现sort.Interface接口的获取元素数量方法

func (*NDFrame) Less added in v0.6.4 

func (self *NDFrame) Less(i, j int) bool

Less 实现sort.Interface接口的比较元素方法

func (*NDFrame) Logic added in v0.6.4 

func (self *NDFrame) Logic(f func(idx int, v any) bool) []bool

func (*NDFrame) Max added in v0.6.2 

func (self *NDFrame) Max() any

func (*NDFrame) Mean 

func (self *NDFrame) Mean() stat.DType

func (*NDFrame) Min added in v0.6.2 

func (self *NDFrame) Min() any

func (*NDFrame) NaN added in v0.6.4 

func (self *NDFrame) NaN() any

NaN 输出默认的NaN

func (*NDFrame) Name 

func (self *NDFrame) Name() string

func (*NDFrame) Records 

func (self *NDFrame) Records() []string

func (*NDFrame) Ref added in v0.6.4 

func (self *NDFrame) Ref(param any) (s Series)

func (*NDFrame) Rename 

func (self *NDFrame) Rename(n string)

func (*NDFrame) Repeat 

func (self *NDFrame) Repeat(x any, repeats int) Series

func (*NDFrame) Rolling 

func (self *NDFrame) Rolling(param any) RollingAndExpandingMixin

Rolling RollingAndExpandingMixin

func (*NDFrame) RollingV1 added in v0.6.4 

func (self *NDFrame) RollingV1(window int) RollingWindowV1

RollingV1 滑动窗口 Deprecated: 使用RollingAndExpandingMixin

func (*NDFrame) Select added in v0.6.3 

func (self *NDFrame) Select(r ScopeLimit) Series

Select 选取一段记录

func (*NDFrame) Shift 

func (self *NDFrame) Shift(periods int) Series

func (*NDFrame) Std added in v0.6.4 

func (self *NDFrame) Std() stat.DType

func (*NDFrame) StdDev 

func (self *NDFrame) StdDev() stat.DType

func (*NDFrame) Subset 

func (self *NDFrame) Subset(start, end int, opt ...any) Series

func (*NDFrame) Sum added in v0.6.4 

func (self *NDFrame) Sum() stat.DType

func (*NDFrame) Swap added in v0.6.4 

func (self *NDFrame) Swap(i, j int)

Swap 实现sort.Interface接口的交换元素方法

func (*NDFrame) Type 

func (self *NDFrame) Type() Type

func (*NDFrame) Values 

func (self *NDFrame) Values() any

type Number added in v0.6.2 

type Number interface {
	Integer | Float
}

Number int和uint的长度取决于CPU是多少位

type Number16 added in v0.6.2 

type Number16 interface {
	~int16 | ~uint16
}

type Number32 added in v0.6.2 

type Number32 interface {
	~int32 | ~uint32 | float32
}

type Number64 added in v0.6.2 

type Number64 interface {
	~int64 | ~uint64 | float64 | int | uint
}

type Number8 added in v0.6.2 

type Number8 interface {
	~int8 | ~uint8
}

type NumberOfCPUBitsRelated added in v0.6.4 

type NumberOfCPUBitsRelated interface {
	~int | ~uint | ~uintptr
}

NumberOfCPUBitsRelated The number of CPU bits is related

type Ordered added in v0.6.4 

type Ordered interface {
	Integer | Float | ~string
}

Ordered is a constraint that permits any ordered type: any type that supports the operators < <= >= >. If future releases of Go add new ordered types, this constraint will be modified to include them.

type RollingAndExpandingMixin added in v0.6.3 

type RollingAndExpandingMixin struct {
	// contains filtered or unexported fields
}

RollingAndExpandingMixin 滚动和扩展静态横切

func (RollingAndExpandingMixin) Apply added in v0.6.4 

func (r RollingAndExpandingMixin) Apply(f func(S Series, N stat.DType) stat.DType) (s Series)

Apply 接受一个回调

func (RollingAndExpandingMixin) Apply_v1 added in v0.6.4 

func (r RollingAndExpandingMixin) Apply_v1(f func(S Series, N stat.DType) stat.DType) (s Series)

func (RollingAndExpandingMixin) Count added in v0.6.4 

func (r RollingAndExpandingMixin) Count() (s Series)

func (RollingAndExpandingMixin) Max added in v0.6.4 

func (r RollingAndExpandingMixin) Max() (s Series)

func (RollingAndExpandingMixin) Mean added in v0.6.3 

func (r RollingAndExpandingMixin) Mean() (s Series)

Mean returns the rolling mean.

func (RollingAndExpandingMixin) Min added in v0.6.4 

func (r RollingAndExpandingMixin) Min() (s Series)

func (RollingAndExpandingMixin) Std added in v0.6.4 

func (r RollingAndExpandingMixin) Std() Series

func (RollingAndExpandingMixin) Sum added in v0.6.4 

func (r RollingAndExpandingMixin) Sum() Series

type RollingWindowV1 added in v0.6.4 

type RollingWindowV1 struct {
	// contains filtered or unexported fields
}

RollingWindowV1 is used for rolling window calculations. Deprecated: 使用RollingAndExpandingMixin

func (RollingWindowV1) Max added in v0.6.4 

func (r RollingWindowV1) Max() any

func (RollingWindowV1) Mean added in v0.6.4 

func (r RollingWindowV1) Mean() (s Series)

Mean returns the rolling mean.

func (RollingWindowV1) Min added in v0.6.4 

func (r RollingWindowV1) Min() any

func (RollingWindowV1) StdDev added in v0.6.4 

func (r RollingWindowV1) StdDev() (s Series)

StdDev returns the rolling mean.

type ScopeLimit added in v0.6.5 

type ScopeLimit struct {
	Start *int
	End   *int
}

ScopeLimit is used to specify a range. Both Start and End are inclusive. A nil value means no limit, so a Start of nil means 0 and an End of nil means no limit. The End value must always be equal to or larger than Start. Negative values are acceptable. A value of -2 means the second last row.

func IntsToRanges added in v0.6.3 

func IntsToRanges(ints []int) []ScopeLimit

IntsToRanges will convert an already (ascending) ordered list of ints to a slice of Ranges.

Example: 

import "sort"
ints := []int{2,4,5,6,8,10,11,45,46}
sort.Ints(ints)

fmt.Println(IntsToRanges(ints))
// Output: R{2,2}, R{4,6}, R{8,8}, R{10,11}, R{45,46}

func RangeFinite added in v0.6.3 

func RangeFinite(start int, end ...int) ScopeLimit

RangeFinite returns a ScopeLimit that has a finite span.

func (*ScopeLimit) Limits added in v0.6.5 

func (r *ScopeLimit) Limits(length int) (s int, e int, _ error)

Limits is used to return the start and end limits of a ScopeLimit object for a given Dataframe or Series with length number of rows.

func (*ScopeLimit) NRows added in v0.6.5 

func (r *ScopeLimit) NRows(length ...int) (int, error)

NRows returns the number of rows contained by ScopeLimit. If End is nil, then length must be provided.

func (ScopeLimit) String added in v0.6.5 

func (r ScopeLimit) String() string

String implements Stringer interface.

type SelectIndexes added in v0.6.4 

type SelectIndexes interface{}

SelectIndexes are the supported indexes used for the DataFrame.Select method. Currently supported are: 

int              // Matches the given index number
[]int            // Matches all given index numbers
[]bool           // Matches all columns marked as true
string           // Matches the column with the matching column name
[]string         // Matches all columns with the matching column names
Series [Int]     // Same as []int
Series [Bool]    // Same as []bool
Series [String]  // Same as []string

type Series 

type Series interface {
	// Name 取得series名称
	Name() string
	// Rename renames the series.
	Rename(name string)
	// Type returns the type of data the series holds.
	// 返回series的数据类型
	Type() Type
	// Values 获得全部数据集
	Values() any

	// NaN 输出默认的NaN
	NaN() any
	// Float 强制转成[]float32
	Float() []float32
	// DTypes 强制转[]stat.DType
	DTypes() []stat.DType
	// 强制转换成整型
	AsInt() []stat.Int

	// Len 获得行数, 实现sort.Interface接口的获取元素数量方法
	Len() int
	// Less 实现sort.Interface接口的比较元素方法
	Less(i, j int) bool
	// Swap 实现sort.Interface接口的交换元素方法
	Swap(i, j int)

	// Empty returns an empty Series of the same type
	Empty() Series
	// Copy 复制
	Copy() Series
	// Records returns the elements of a Series as a []string
	Records() []string
	// Subset 获取子集
	Subset(start, end int, opt ...any) Series
	// Repeat elements of an array.
	Repeat(x any, repeats int) Series
	// Shift index by desired number of periods with an optional time freq.
	// 使用可选的时间频率按所需的周期数移动索引.
	Shift(periods int) Series
	// RollingV1 creates new RollingWindowV1
	// Deprecated: 使用RollingAndExpandingMixin
	RollingV1(window int) RollingWindowV1
	// Rolling 序列化版本
	Rolling(param any) RollingAndExpandingMixin
	// Mean calculates the average value of a series
	Mean() stat.DType
	// StdDev calculates the standard deviation of a series
	StdDev() stat.DType
	// FillNa Fill NA/NaN values using the specified method.
	FillNa(v any, inplace bool) Series
	// Max 找出最大值
	Max() any
	// Min 找出最小值
	Min() any
	// Select 选取一段记录
	Select(r ScopeLimit) Series
	// Append 增加一批记录
	Append(values ...any)
	// Apply 接受一个回调函数
	Apply(f func(idx int, v any))
	// Logic 逻辑处理
	Logic(f func(idx int, v any) bool) []bool
	// Diff 元素的第一个离散差
	Diff(param any) (s Series)
	// Ref 引用其它周期的数据
	Ref(param any) (s Series)
	// Std 计算标准差
	Std() stat.DType
	// Sum 计算累和
	Sum() stat.DType
	// EWM Provide exponentially weighted (EW) calculations.
	//
	//    Exactly one of “com“, “span“, “halflife“, or “alpha“ must be
	//    provided if “times“ is not provided. If “times“ is provided,
	//    “halflife“ and one of “com“, “span“ or “alpha“ may be provided.
	EWM(alpha EW) ExponentialMovingWindow
}

func GenericSeries 

func GenericSeries[T GenericType](name string, values ...T) Series

GenericSeries 泛型方法, 构造序列, 比其它方式对类型的统一性要求更严格

func NewSeries 

func NewSeries(t Type, name string, vals any) Series

NewSeries 指定类型创建序列

func NewSeriesWithType added in v0.6.3 

func NewSeriesWithType(_type Type, name string, values ...interface{}) Series

NewSeriesWithType 通过类型创新一个新series

func NewSeriesWithoutType added in v0.6.3 

func NewSeriesWithoutType(name string, values ...interface{}) Series

NewSeriesWithoutType 不带类型创新一个新series

func Shift 

func Shift[T GenericType](s *Series, periods int, cbNan func() T) Series

Shift series切片, 使用可选的时间频率按所需的周期数移动索引

func Shift2 added in v0.6.4 

func Shift2[T GenericType](s *Series, N []float32, cbNan func() T) Series

Shift2 series切片, 使用可选的时间频率按所需的周期数移动索引

type SeriesBool 

type SeriesBool struct {
	NDFrame
	Data []bool
}

func NewSeriesBool 

func NewSeriesBool(name string, vals ...interface{}) *SeriesBool

NewSeriesBool creates a new series with the underlying type as bool.

func (*SeriesBool) Copy 

func (self *SeriesBool) Copy() Series

func (*SeriesBool) Empty 

func (self *SeriesBool) Empty() Series

func (*SeriesBool) FillNa added in v0.6.2 

func (self *SeriesBool) FillNa(v any, inplace bool) Series

FillNa bool类型不可能在导入series还是NaN

func (*SeriesBool) Len 

func (self *SeriesBool) Len() int

func (*SeriesBool) Mean 

func (self *SeriesBool) Mean() float64

func (*SeriesBool) Name 

func (self *SeriesBool) Name() string

func (*SeriesBool) Records 

func (self *SeriesBool) Records() []string

func (*SeriesBool) Rename 

func (self *SeriesBool) Rename(n string)

func (*SeriesBool) Repeat 

func (self *SeriesBool) Repeat(x any, repeats int) Series

func (*SeriesBool) RollingV1 added in v0.6.4 

func (self *SeriesBool) RollingV1(window int) RollingWindowV1

func (*SeriesBool) Shift 

func (self *SeriesBool) Shift(periods int) Series

func (*SeriesBool) StdDev 

func (self *SeriesBool) StdDev() float64

func (*SeriesBool) Subset 

func (self *SeriesBool) Subset(start, end int, opt ...any) Series

func (*SeriesBool) Type 

func (self *SeriesBool) Type() Type

func (*SeriesBool) Values 

func (self *SeriesBool) Values() any

type SeriesFloat32 added in v0.6.2 

type SeriesFloat32 struct {
	NDFrame
}

TODO:留给于总的作业

func (*SeriesFloat32) Copy added in v0.6.2 

func (self *SeriesFloat32) Copy() Series

func (*SeriesFloat32) Empty added in v0.6.2 

func (self *SeriesFloat32) Empty() Series

func (*SeriesFloat32) FillNa added in v0.6.2 

func (self *SeriesFloat32) FillNa(v any, inplace bool)

func (*SeriesFloat32) Len added in v0.6.2 

func (self *SeriesFloat32) Len() int

func (*SeriesFloat32) Max added in v0.6.2 

func (self *SeriesFloat32) Max() any

func (*SeriesFloat32) Mean added in v0.6.2 

func (self *SeriesFloat32) Mean() float64

func (*SeriesFloat32) Name added in v0.6.2 

func (self *SeriesFloat32) Name() string

func (*SeriesFloat32) Records added in v0.6.2 

func (self *SeriesFloat32) Records() []string

func (*SeriesFloat32) Rename added in v0.6.2 

func (self *SeriesFloat32) Rename(n string)

func (*SeriesFloat32) Repeat added in v0.6.2 

func (self *SeriesFloat32) Repeat(x any, repeats int) Series

func (*SeriesFloat32) RollingV1 added in v0.6.4 

func (self *SeriesFloat32) RollingV1(window int) RollingWindowV1

func (*SeriesFloat32) Shift added in v0.6.2 

func (self *SeriesFloat32) Shift(periods int) Series

func (*SeriesFloat32) StdDev added in v0.6.2 

func (self *SeriesFloat32) StdDev() float64

func (*SeriesFloat32) Subset added in v0.6.2 

func (self *SeriesFloat32) Subset(start, end int, opt ...any) Series

func (*SeriesFloat32) Type added in v0.6.2 

func (self *SeriesFloat32) Type() Type

func (*SeriesFloat32) Values added in v0.6.2 

func (self *SeriesFloat32) Values() any

type SeriesFloat64 

type SeriesFloat64 struct {
	NDFrame
	Data []float64
}

func NewSeriesFloat64 

func NewSeriesFloat64(name string, vals ...interface{}) *SeriesFloat64

func (*SeriesFloat64) Copy 

func (self *SeriesFloat64) Copy() Series

func (*SeriesFloat64) Empty 

func (self *SeriesFloat64) Empty() Series

Empty returns an empty Series of the same type

func (*SeriesFloat64) FillNa added in v0.6.2 

func (self *SeriesFloat64) FillNa(v any, inplace bool) Series

func (*SeriesFloat64) Len 

func (self *SeriesFloat64) Len() int

func (*SeriesFloat64) Mean 

func (self *SeriesFloat64) Mean() float64

Mean calculates the average value of a series

func (*SeriesFloat64) Name 

func (self *SeriesFloat64) Name() string

func (*SeriesFloat64) Records 

func (self *SeriesFloat64) Records() []string

Records returns the elements of a Series as a []string

func (*SeriesFloat64) Rename 

func (self *SeriesFloat64) Rename(n string)

func (*SeriesFloat64) Repeat 

func (self *SeriesFloat64) Repeat(x any, repeats int) Series

func (*SeriesFloat64) RollingV1 added in v0.6.4 

func (self *SeriesFloat64) RollingV1(window int) RollingWindowV1

Rolling creates new RollingWindowV1

func (*SeriesFloat64) Shift 

func (self *SeriesFloat64) Shift(periods int) Series

func (*SeriesFloat64) StdDev 

func (self *SeriesFloat64) StdDev() float64

func (*SeriesFloat64) Subset 

func (self *SeriesFloat64) Subset(start, end int, opt ...any) Series

func (*SeriesFloat64) Type 

func (self *SeriesFloat64) Type() Type

Type returns the type of data the series holds.

func (*SeriesFloat64) Values 

func (self *SeriesFloat64) Values() any

type SeriesInt64 

type SeriesInt64 struct {
	NDFrame
	Data []int64
}

func NewSeriesInt64 

func NewSeriesInt64(name string, vals ...interface{}) *SeriesInt64

NewSeriesInt64 creates a new series with the underlying type as int64.

func (*SeriesInt64) Copy 

func (self *SeriesInt64) Copy() Series

func (*SeriesInt64) Empty 

func (self *SeriesInt64) Empty() Series

func (*SeriesInt64) FillNa added in v0.6.2 

func (self *SeriesInt64) FillNa(v any, inplace bool) Series

FillNa int64没有NaN

func (*SeriesInt64) Len 

func (self *SeriesInt64) Len() int

func (*SeriesInt64) Mean 

func (self *SeriesInt64) Mean() float64

func (*SeriesInt64) Name 

func (self *SeriesInt64) Name() string

func (*SeriesInt64) Records 

func (self *SeriesInt64) Records() []string

Records returns the elements of a Series as a []string

func (*SeriesInt64) Rename 

func (self *SeriesInt64) Rename(n string)

func (*SeriesInt64) Repeat 

func (self *SeriesInt64) Repeat(x any, repeats int) Series

func (*SeriesInt64) RollingV1 added in v0.6.4 

func (self *SeriesInt64) RollingV1(window int) RollingWindowV1

func (*SeriesInt64) Shift 

func (self *SeriesInt64) Shift(periods int) Series

func (*SeriesInt64) StdDev 

func (self *SeriesInt64) StdDev() float64

func (*SeriesInt64) Subset 

func (self *SeriesInt64) Subset(start, end int, opt ...any) Series

func (*SeriesInt64) Type 

func (self *SeriesInt64) Type() Type

func (*SeriesInt64) Values 

func (self *SeriesInt64) Values() any

type SeriesString 

type SeriesString struct {
	NDFrame
	Data []string
}

SeriesString 字符串类型序列

func NewSeriesString 

func NewSeriesString(name string, vals ...interface{}) *SeriesString

NewSeriesString creates a new series with the underlying type as string.

func (*SeriesString) Copy 

func (self *SeriesString) Copy() Series

func (*SeriesString) Empty 

func (self *SeriesString) Empty() Series

func (*SeriesString) FillNa added in v0.6.2 

func (self *SeriesString) FillNa(v any, inplace bool) Series

func (*SeriesString) Len 

func (self *SeriesString) Len() int

func (*SeriesString) Mean 

func (self *SeriesString) Mean() float64

func (*SeriesString) Name 

func (self *SeriesString) Name() string

func (*SeriesString) Records 

func (self *SeriesString) Records() []string

func (*SeriesString) Rename 

func (self *SeriesString) Rename(n string)

func (*SeriesString) Repeat 

func (self *SeriesString) Repeat(x any, repeats int) Series

func (*SeriesString) RollingV1 added in v0.6.4 

func (self *SeriesString) RollingV1(window int) RollingWindowV1

func (*SeriesString) Shift 

func (self *SeriesString) Shift(periods int) Series

func (*SeriesString) StdDev 

func (self *SeriesString) StdDev() float64

func (*SeriesString) Subset 

func (self *SeriesString) Subset(start, end int, opt ...any) Series

func (*SeriesString) Type 

func (self *SeriesString) Type() Type

func (*SeriesString) Values 

func (self *SeriesString) Values() any

type Signed added in v0.6.4 

type Signed interface {
	~int | ~int8 | ~int16 | ~int32 | ~int64
}

Signed is a constraint that permits any signed integer type. If future releases of Go add new predeclared signed integer types, this constraint will be modified to include them.

type StringFormatter 

type StringFormatter func(val interface{}) string

StringFormatter is used to convert a value into a string. Val can be nil or the concrete type stored by the series.

type Type 

type Type = reflect.Kind

Type is a convenience alias that can be used for a more type safe way of reason and use Series types.

type Unsigned added in v0.6.4 

type Unsigned interface {
	~uint | ~uint8 | ~uint16 | ~uint32 | ~uint64 | ~uintptr
}

Unsigned is a constraint that permits any unsigned integer type. If future releases of Go add new predeclared unsigned integer types, this constraint will be modified to include them. TODO:~uintptr应该是没有应用场景

type WriteOption 

type WriteOption func(*writeOptions)

WriteOption is the type used to configure the writing of elements

func WriteHeader 

func WriteHeader(b bool) WriteOption

WriteHeader sets the writeHeader option for writeOptions.

Source Files

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Directories

Path Synopsis
algorithms
avx2
cache
category
constant
security

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