pandas

package module
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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
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 [√]

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_INT     = reflect.Int64   // int64
	SERIES_TYPE_FLOAT   = reflect.Float64 // float64
	SERIES_TYPE_STRING  = reflect.String  // string
)
View Source 
const (
	Nil2Bool              = false      // 空指针转bool
	BoolNaN               = false      // bool 无效值
	True2Bool             = true       // true转bool
	False2Bool            = false      // false 转bool
	True2Float32  float32 = float32(1) // true转float32
	False2Float32 float32 = float32(0) // false转float32

	StringBad2Bool   = false // 字符串解析bool异常
	StringTrue2Bool  = true  // 字符串true转bool
	StringFalse2Bool = false // 字符串false转bool
)
View Source 
const (
	MaxFloat32                  = math.MaxFloat32 // float32最大值
	StringTrue2Float32  float32 = float32(1)      // 字符串true转float32
	StringFalse2Float32 float32 = float32(0)      // 字符串false转float32
)
View Source 
const (
	MaxFloat64          float64 = math.MaxFloat64 // float64最大值
	True2Float64        float64 = float64(1)      // true转float64
	False2Float64       float64 = float64(0)      // false转float64
	StringNil2Float     float64 = float64(0)      // deprecated: 字符串空指针转float64
	StringBad2Float     float64 = float64(0)      // deprecated: 字符串解析float64异常
	StringTrue2Float64  float64 = float64(1)      // 字符串true转float64
	StringFalse2Float64 float64 = float64(0)      // 字符串false转float64
)
View Source 
const (
	Nil2Int64         = int64(0) // 空指针转int64
	IntNaN            = int64(0) // int64 无效值
	True2Int64        = int64(1) // true转int64
	False2Int64       = int64(0) // false 转int64
	StringBad2Int64   = int64(0) // 字符串解析int64异常
	StringTrue2Int64  = int64(1) // 字符串true转int64
	StringFalse2Int64 = int64(0) // 字符串false转int64
)
View Source 
const (
	StringNaN    = "NaN"   // 字符串NaN
	Nil2String   = "NaN"   // nil指针转string
	True2String  = "true"  // true转string
	False2String = "false" // false转string
)

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 (
	// IgnoreParseExceptions 忽略解析异常
	IgnoreParseExceptions bool = true
)
View Source 
var (
	// PossibleNaOfString 有可能出现的NaN字符串的全部选项
	PossibleNaOfString = []string{"NA", "NaN", "nan", "<nil>"}
)

Functions

func AnyToBool 

func AnyToBool(v any) bool

AnyToBool any转换bool

func AnyToFloat32 added in v0.6.2 

func AnyToFloat32(v any) float32

func AnyToFloat64 

func AnyToFloat64(v any) float64

func AnyToInt64 

func AnyToInt64(v any) int64

AnyToInt64 any转换int64

func AnyToString 

func AnyToString(v any) string

AnyToString any转string

func DefaultFormatter 

func DefaultFormatter(v interface{}) string

DefaultFormatter will return a string representation of the data in a particular row.

func DefaultIsEqualFunc 

func DefaultIsEqualFunc(a, b interface{}) bool

DefaultIsEqualFunc is the default comparitor to determine if two values in the series are the same.

func Float32IsNaN added in v0.6.2 

func Float32IsNaN(f float32) bool

Float32IsNaN 判断float32是否NaN

func Float64IsNaN added in v0.6.2 

func Float64IsNaN(f float64) bool

Float64IsNaN 判断float64是否NaN

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 ParseBool 

func ParseBool(s string, v any) bool

ParseBool 字符串转bool 任意组合的nan字符串都会被解析成NaN

func ParseFloat32 added in v0.6.2 

func ParseFloat32(s string, v any) float32

ParseFloat32 字符串转float32

func ParseFloat64 added in v0.6.2 

func ParseFloat64(s string, v any) float64

ParseFloat64 字符串转float64 任意组合的nan字符串都会被解析成NaN

func ParseInt64 added in v0.6.2 

func ParseInt64(s string, v any) int64

ParseInt64 解析int字符串, 尝试解析10进制和16进制

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 StringIsNaN 

func StringIsNaN(s string) bool

StringIsNaN 判断字符串是否NaN

Types

type AlphaType 

type AlphaType int
const (
	// Specify smoothing factor α directly, 0<α≤1.
	AlphaNil AlphaType = iota
	// Specify decay in terms of center of mass, α=1/(1+com), for com ≥ 0.
	AlphaCom
	// Specify decay in terms of span, α=2/(span+1), for span ≥ 1.
	AlphaSpan
	// 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 DType 

type DType = float64

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 LoadRecords 

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

LoadRecords creates a new DataFrame based on the given records.

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 (DataFrame) Dims 

func (df DataFrame) Dims() (int, int)

Dims retrieves the dimensions of a DataFrame.

func (*DataFrame) Error 

func (df *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) Names 

func (df DataFrame) Names() []string

Names returns the name of the columns on a DataFrame.

func (DataFrame) Ncol 

func (df DataFrame) Ncol() int

Ncol returns the number of columns on a DataFrame.

func (DataFrame) Nrow 

func (df DataFrame) Nrow() int

Nrow returns the number of rows on a DataFrame.

func (DataFrame) Records 

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

Records return the string record representation of a DataFrame.

func (DataFrame) String 

func (df DataFrame) String() (str string)

String implements the Stringer interface for DataFrame

func (DataFrame) Subset 

func (df 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 (df DataFrame) Types() []string

Types returns the types of the columns on a DataFrame.

func (DataFrame) WriteCSV 

func (df 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

type EW 

type EW struct {
	Com      float64 // 根据质心指定衰减
	Span     float64 // 根据跨度指定衰减
	Halflife float64 // 根据半衰期指定衰减
	Alpha    float64 // 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
}

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
}

type GenericType 

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

GenericType Series支持的所有类型

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

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) Copy 

func (self *NDFrame) Copy() Series

func (*NDFrame) Empty 

func (self *NDFrame) Empty() Series

func (*NDFrame) FillNa added in v0.6.2 

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

func (*NDFrame) Len 

func (self *NDFrame) Len() int

func (*NDFrame) Max added in v0.6.2 

func (self *NDFrame) Max() any

func (*NDFrame) Mean 

func (self *NDFrame) Mean() float64

func (*NDFrame) Min added in v0.6.2 

func (self *NDFrame) Min() any

func (*NDFrame) Name 

func (self *NDFrame) Name() string

func (*NDFrame) Records 

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

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(window int) RollingWindow

func (*NDFrame) Shift 

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

func (*NDFrame) StdDev 

func (self *NDFrame) StdDev() float64

func (*NDFrame) Subset 

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

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 {
	Number8 | Number16 | Number32 | Number64 | Float | int | uint
}

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
}

type Number8 added in v0.6.2 

type Number8 interface {
	~int8 | ~uint8
}

type RollingWindow 

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

RollingWindow is used for rolling window calculations.

func (RollingWindow) Max added in v0.6.2 

func (r RollingWindow) Max() any

func (RollingWindow) Mean 

func (r RollingWindow) Mean() (s Series)

Mean returns the rolling mean.

func (RollingWindow) Min added in v0.6.2 

func (r RollingWindow) Min() any

func (RollingWindow) StdDev 

func (r RollingWindow) StdDev() (s Series)

StdDev returns the rolling mean.

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
	// Len 获得行数
	Len() int
	// Values 获得全部数据集
	Values() any
	// 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
	// Rolling creates new RollingWindow
	Rolling(window int) RollingWindow
	// Mean calculates the average value of a series
	Mean() float64
	// StdDev calculates the standard deviation of a series
	StdDev() float64
	// FillNa Fill NA/NaN values using the specified method.
	FillNa(v any, inplace bool)
	// Max 找出最大值
	Max() any
	// Min 找出最小值
	Min() any
}

func CreateSeries added in v0.6.2 

func CreateSeries(t Type, name string, v ...any) Series

func GenericSeries 

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

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 ...interface{}) *Series

NewSeries 指定类型创建序列

func NewSeries2 added in v0.6.2 

func NewSeries2(name string, values ...interface{}) 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

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)

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) Rolling 

func (self *SeriesBool) Rolling(window int) RollingWindow

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) Rolling added in v0.6.2 

func (self *SeriesFloat32) Rolling(window int) RollingWindow

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) EWM 

func (s *SeriesFloat64) EWM(alpha EW) ExponentialMovingWindow

EWM provides exponential weighted calculations.

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)

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) Rolling 

func (self *SeriesFloat64) Rolling(window int) RollingWindow

Rolling creates new RollingWindow

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)

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) Rolling 

func (self *SeriesInt64) Rolling(window int) RollingWindow

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)

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) Rolling 

func (self *SeriesString) Rolling(window int) RollingWindow

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 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 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.

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