Documentation ¶
Index ¶
- Constants
- Variables
- func Rolling[T num.BaseType](S []T, N any) [][]T
- func ToBool(s Series) []bool
- func ToFloat32(s Series) []float32
- func ToFloat64(s Series) []float64
- type AlphaType
- type DataFrame
- func LoadMaps(maps []map[string]any, options ...LoadOption) DataFrame
- func LoadRecords(records [][]string, options ...LoadOption) DataFrame
- func LoadStructs(i any, options ...LoadOption) DataFrame
- func NewDataFrame(se ...Series) DataFrame
- func ReadCSV(in any, options ...LoadOption) DataFrame
- func ReadExcel(filename string, options ...LoadOption) DataFrame
- func (self DataFrame) Col(colname string, args ...bool) Series
- func (self DataFrame) ColAsNDArray(colname string) Series
- func (self DataFrame) Concat(dfb DataFrame) DataFrame
- func (self DataFrame) Dims() (int, int)
- func (self DataFrame) Error() error
- func (self DataFrame) FillNa(v any, inplace bool)
- func (self DataFrame) Filter(columnName string, filter func(kind Type, e any) bool) DataFrame
- func (self DataFrame) Group(columnName string, filter func(kind Type, e any) bool) DataFrame
- func (self DataFrame) IndexOf(idx int, opt ...any) map[string]any
- func (self DataFrame) Join(S ...Series) DataFrame
- func (self DataFrame) Names() []string
- func (self DataFrame) Ncol() int
- func (self DataFrame) Nrow() int
- func (self DataFrame) Records(round ...bool) [][]string
- func (self DataFrame) Remove(p api.ScopeLimit) DataFrame
- func (df DataFrame) Select(indexes SelectIndexes) DataFrame
- func (self DataFrame) SelectRows(p api.ScopeLimit) DataFrame
- func (self DataFrame) SetName(from string, to string)
- func (self DataFrame) SetNames(colnames ...string) error
- func (self DataFrame) String() (str string)
- func (self DataFrame) Sub(start, end int) DataFrame
- func (self DataFrame) Subset(start, end int) DataFrame
- func (self DataFrame) Types() []string
- func (self DataFrame) WriteCSV(out any, options ...WriteOption) error
- func (self DataFrame) WriteExcel(filename string, options ...WriteOption) error
- type EW
- type ExponentialMovingWindow
- type LoadOption
- func DefaultType(t Type) LoadOption
- func DetectTypes(b bool) LoadOption
- func HasHeader(b bool) LoadOption
- func NaNValues(nanValues []string) LoadOption
- func Names(names ...string) LoadOption
- func WithComments(b rune) LoadOption
- func WithDelimiter(b rune) LoadOption
- func WithLazyQuotes(b bool) LoadOption
- func WithTypes(coltypes map[string]Type) LoadOption
- type NDArray
- func (self NDArray[T]) Add(x any) Series
- func (self NDArray[T]) And(x any) Series
- func (self NDArray[T]) Append(values ...any) Series
- func (self NDArray[T]) Apply(f func(idx int, v any))
- func (self NDArray[T]) Apply2(f func(idx int, v any) any, args ...bool) Series
- func (self NDArray[T]) ArgMax() int
- func (self NDArray[T]) ArgMin() int
- func (self NDArray[T]) Bools() []bool
- func (self NDArray[T]) Concat(x Series) Series
- func (self NDArray[T]) Copy() Series
- func (self NDArray[T]) DTypes() []num.DType
- func (self NDArray[T]) Diff(n any) Series
- func (self NDArray[T]) Div(x any) Series
- func (self NDArray[T]) EWM(alpha EW) ExponentialMovingWindow
- func (self NDArray[T]) Empty(tv ...Type) Series
- func (self NDArray[T]) Eq(x any) Series
- func (self NDArray[T]) FillNa(v any, inplace bool) Series
- func (self NDArray[T]) Floats() []float32
- func (self NDArray[T]) Gt(x any) Series
- func (self NDArray[T]) Gte(x any) Series
- func (self NDArray[T]) IndexOf(index int, opt ...any) any
- func (self NDArray[T]) Ints() []num.Int
- func (self NDArray[T]) Len() int
- func (self NDArray[T]) Less(i, j int) bool
- func (self NDArray[T]) Logic(f func(idx int, v any) bool) []bool
- func (self NDArray[T]) Lt(x any) Series
- func (self NDArray[T]) Lte(x any) Series
- func (self NDArray[T]) Max() any
- func (self NDArray[T]) Mean() num.DType
- func (self NDArray[T]) Min() any
- func (self NDArray[T]) Mul(x any) Series
- func (self NDArray[T]) NaN() any
- func (self NDArray[T]) Name() string
- func (self NDArray[T]) Neq(x any) Series
- func (self NDArray[T]) Not() Series
- func (self NDArray[T]) Or(x any) Series
- func (self NDArray[T]) Records(round ...bool) []string
- func (self NDArray[T]) Ref(n any) Series
- func (self NDArray[T]) Rename(name string)
- func (self NDArray[T]) Repeat(x any, repeats int) Series
- func (self NDArray[T]) Reverse() Series
- func (self NDArray[T]) Rolling(param any) RollingAndExpandingMixin
- func (self NDArray[T]) Select(r api.ScopeLimit) Series
- func (self NDArray[T]) Shift(periods int) Series
- func (self NDArray[T]) Std() num.DType
- func (self NDArray[T]) StdDev() num.DType
- func (self NDArray[T]) Strings() []string
- func (self NDArray[T]) Sub(x any) Series
- func (self NDArray[T]) Subset(start, end int, opt ...any) Series
- func (self NDArray[T]) Sum() num.DType
- func (self NDArray[T]) Swap(i, j int)
- func (self NDArray[T]) Type() Type
- func (self NDArray[T]) Values() any
- type NDFrame
- func (this *NDFrame) Add(x any) Series
- func (this *NDFrame) And(x any) Series
- func (this *NDFrame) Append(values ...any) Series
- func (this *NDFrame) Apply(f func(idx int, v any))
- func (this *NDFrame) Apply2(f func(idx int, v any) any, args ...bool) Series
- func (this *NDFrame) ArgMax() int
- func (this *NDFrame) ArgMin() int
- func (this *NDFrame) Bools() []bool
- func (this *NDFrame) Concat(x Series) Series
- func (this *NDFrame) Copy() Series
- func (this *NDFrame) DTypes() []num.DType
- func (this *NDFrame) Diff(param any) (s Series)
- func (this *NDFrame) Div(x any) Series
- func (this *NDFrame) EWM(alpha EW) ExponentialMovingWindow
- func (this *NDFrame) Empty(t ...Type) Series
- func (this *NDFrame) Eq(x any) Series
- func (this *NDFrame) FillNa(v any, inplace bool) Series
- func (this *NDFrame) Floats() []float32
- func (this *NDFrame) Gt(x any) Series
- func (this *NDFrame) Gte(x any) Series
- func (this *NDFrame) IndexOf(index int, opt ...any) any
- func (this *NDFrame) Ints() []num.Int
- func (this *NDFrame) Len() int
- func (this *NDFrame) Less(i, j int) bool
- func (this *NDFrame) Logic(f func(idx int, v any) bool) []bool
- func (this *NDFrame) Lt(x any) Series
- func (this *NDFrame) Lte(x any) Series
- func (this *NDFrame) Max() any
- func (this *NDFrame) Mean() num.DType
- func (this *NDFrame) Min() any
- func (this *NDFrame) Mul(x any) Series
- func (this *NDFrame) NaN() any
- func (this *NDFrame) Name() string
- func (this *NDFrame) Neq(x any) Series
- func (this *NDFrame) Not() Series
- func (this *NDFrame) Or(x any) Series
- func (this *NDFrame) Records(round ...bool) []string
- func (this *NDFrame) Ref(param any) (s Series)
- func (this *NDFrame) Rename(n string)
- func (this *NDFrame) Repeat(x any, repeats int) Series
- func (this *NDFrame) Reverse() Series
- func (this *NDFrame) Rolling(param any) RollingAndExpandingMixin
- func (this *NDFrame) Select(r api.ScopeLimit) Series
- func (this *NDFrame) Shift(periods int) Series
- func (this *NDFrame) Std() num.DType
- func (this *NDFrame) StdDev() num.DType
- func (this *NDFrame) Strings() []string
- func (this *NDFrame) Sub(x any) Series
- func (this *NDFrame) Subset(start, end int, opt ...any) Series
- func (this *NDFrame) Sum() num.DType
- func (this *NDFrame) Swap(i, j int)
- func (this *NDFrame) Type() Type
- func (this *NDFrame) Values() any
- type RollingAndExpandingMixin
- func (r RollingAndExpandingMixin) Apply(f func(S Series, N num.DType) num.DType) (s Series)
- func (r RollingAndExpandingMixin) Count() (s Series)
- func (r RollingAndExpandingMixin) GetBlocks() (blocks []Series)
- func (r RollingAndExpandingMixin) Max() (s Series)
- func (r RollingAndExpandingMixin) Mean() (s Series)
- func (r RollingAndExpandingMixin) Min() (s Series)
- func (r RollingAndExpandingMixin) Std() Series
- func (r RollingAndExpandingMixin) Sum() Series
- type SelectIndexes
- type Series
- func Align2Series(x any, N int) Series
- func GenericSeries[T num.GenericType](name string, values ...T) Series
- func NewNDArray[T num.BaseType](data ...T) Series
- func NewSeries(t Type, name string, values any) Series
- func NewSeriesWithType(_type Type, name string, values ...any) Series
- func NewSeriesWithoutType(name string, values ...any) Series
- func ToSeries[T num.BaseType](data ...T) Series
- type Type
- type WriteOption
Constants ¶
const ( SERIES_TYPE_INVAILD = reflect.Invalid // 无效类型 SERIES_TYPE_BOOL = reflect.Bool // 布尔类型 SERIES_TYPE_INT32 = reflect.Int32 // int64 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
const ( //MAX_FLOAT32_PRICE = float32(9999.9999) // float32的价最大阀值触发扩展到float64 MAX_FLOAT32_PRICE = float32(0) // float32的价最大阀值触发扩展到float64 )
Variables ¶
var (
DefaultTagName = api.DefaultTagName
)
var (
ErrUnsupportedType = exception.New(0, "Unsupported type")
)
Functions ¶
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 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]any, 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 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 any, 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 ¶
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
ReadExcel 读取excel文件
func (DataFrame) Col ¶ added in v0.6.3
Col returns a copy of the Series with the given column name contained in the DataFrame. 选取一列
func (DataFrame) ColAsNDArray ¶ added in v0.6.6
func (DataFrame) Remove ¶ added in v0.6.3
func (self DataFrame) Remove(p api.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 api.ScopeLimit) DataFrame
SelectRows 选择一段记录
func (DataFrame) SetNames ¶ added in v0.6.3
SetNames changes the column names of a DataFrame to the ones passed as an argument. 修改全部的列名
func (DataFrame) Subset ¶
Subset returns a subset of the rows of the original DataFrame based on the Series subsetting indexes.
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 num.DType // 根据质心指定衰减 Span num.DType // 根据跨度指定衰减 HalfLife num.DType // 根据半衰期指定衰减 Alpha num.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) num.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 { Data Series // 序列 AType AlphaType // 计算方式: com/span/halflefe/alpha Param num.DType // 参数类型为浮点 Adjust bool // 默认为真, 是否调整, 默认真时, 计算序列的EW移动平均线, 为假时, 计算指数加权递归 IgnoreNA bool // 默认为假, 计算权重时是否忽略缺失值NaN Cb func(idx int) num.DType // contains filtered or unexported fields }
ExponentialMovingWindow 加权移动窗口
func (ExponentialMovingWindow) Mean ¶
func (w ExponentialMovingWindow) Mean() Series
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 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 NDArray ¶ added in v1.3.2
func (NDArray[T]) EWM ¶ added in v1.3.2
func (self NDArray[T]) EWM(alpha EW) ExponentialMovingWindow
func (NDArray[T]) Rolling ¶ added in v1.3.2
func (self NDArray[T]) Rolling(param any) RollingAndExpandingMixin
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 num.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 num.GenericType](name string, rows ...E) *NDFrame
func (*NDFrame) Diff ¶ added in v0.6.3
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 (this *NDFrame) EWM(alpha EW) ExponentialMovingWindow
EWM provides exponential weighted calculations.
func (*NDFrame) Rolling ¶
func (this *NDFrame) Rolling(param any) RollingAndExpandingMixin
Rolling RollingAndExpandingMixin
func (*NDFrame) Select ¶ added in v0.6.3
func (this *NDFrame) Select(r api.ScopeLimit) Series
Select 选取一段记录
type RollingAndExpandingMixin ¶ added in v0.6.3
RollingAndExpandingMixin 滚动和扩展静态横切
func (RollingAndExpandingMixin) Count ¶ added in v0.6.4
func (r RollingAndExpandingMixin) Count() (s Series)
func (RollingAndExpandingMixin) GetBlocks ¶ added in v1.3.2
func (r RollingAndExpandingMixin) GetBlocks() (blocks []Series)
GetBlocks series分块
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 SelectIndexes ¶ added in v0.6.4
type SelectIndexes any
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 // Floats 强制转成[]float32 Floats() []float32 // DTypes 强制转[]num.DType DTypes() []num.DType // Ints 强制转换成整型 Ints() []num.Int // Strings 强制转换string切片 Strings() []string // Bools 强制转换成bool切片 Bools() []bool // 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(t ...Type) Series // Copy 复制 Copy() Series // CloneAndReverse 序列反转 Reverse() Series // Select 选取一段记录 Select(r api.ScopeLimit) Series // Append 增加一批记录 Append(values ...any) Series // Concat concatenates two series together. It will return a new Series with the // combined elements of both Series. Concat(x Series) Series // Records returns the elements of a Series as a []string Records(round ...bool) []string // IndexOf 取一条记录, index<0时, 从后往前取值 IndexOf(index int, opt ...any) any // Subset 获取子集 Subset(start, end int, opt ...any) Series // Repeat elements of an array. Repeat(x any, repeats int) Series // FillNa Fill NA/NaN values using the specified method. FillNa(v any, inplace bool) Series // Ref 引用其它周期的数据 Ref(periods any) (s 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 序列化版本 Rolling(param any) RollingAndExpandingMixin // Apply 接受一个回调函数 Apply(f func(idx int, v any)) // Apply2 增加替换功能, 默认不替换 Apply2(f func(idx int, v any) any, args ...bool) Series // Logic 逻辑处理 Logic(f func(idx int, v any) bool) []bool // 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 // Mean calculates the average value of a series Mean() num.DType // StdDev calculates the standard deviation of a series StdDev() num.DType // Max 找出最大值 Max() any // ArgMax Returns the indices of the maximum values along an axis ArgMax() int // Min 找出最小值 Min() any // ArgMin Returns the indices of the minimum values along an axis ArgMin() int // Diff 元素的第一个离散差 Diff(param any) (s Series) // Std 计算标准差 Std() num.DType // Sum 计算累和 Sum() num.DType // Add 加 Add(x any) Series // Sub 减 Sub(x any) Series // Mul 乘 Mul(x any) Series // Div 除 Div(x any) Series // Eq 等于 Eq(x any) Series // Neq 不等于 Neq(x any) Series // Gt 大于 Gt(x any) Series // Gte 大于等于 Gte(x any) Series // Lt 小于 Lt(x any) Series // Lte 小于等于 Lte(x any) Series // And 与 And(x any) Series // Or 或 Or(x any) Series // Not 非 Not() Series }
Series
Data structure for 1-dimensional cross-sectional and time series data 一维横截面和时间序列数据的数据结构
func Align2Series ¶ added in v1.3.2
Align2Series any转换成series
func GenericSeries ¶
func GenericSeries[T num.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 NewNDArray ¶ added in v1.3.2
NewNDArray 构建一个新的Series
func NewSeriesWithType ¶ added in v0.6.3
NewSeriesWithType 通过类型创新一个新series
func NewSeriesWithoutType ¶ added in v0.6.3
NewSeriesWithoutType 不带类型创新一个新series
type Type ¶
Type is a convenience alias that can be used for a more type safe way of reason and use Series types.
func DetectTypeBySlice ¶ added in v1.3.2
DetectTypeBySlice 检测类型
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 ¶
- dataframe.go
- dataframe_csv.go
- dataframe_excel.go
- dataframe_fillna.go
- dataframe_group.go
- dataframe_indexes.go
- dataframe_join.go
- dataframe_map.go
- dataframe_options.go
- dataframe_records.go
- dataframe_remove.go
- dataframe_select.go
- dataframe_struct.go
- dataframe_subset.go
- dataframe_type.go
- dataframe_xstring.go
- ndarray.go
- ndarray_append.go
- ndarray_basic.go
- ndarray_fromnumeric.go
- ndarray_logic.go
- ndarray_range.go
- ndarray_sort.go
- ndarray_type.go
- ndframe.go
- ndframe_append.go
- ndframe_apply.go
- ndframe_diff.go
- ndframe_ewm.go
- ndframe_fillna.go
- ndframe_formnumeric.go
- ndframe_generic.go
- ndframe_logic.go
- ndframe_max.go
- ndframe_min.go
- ndframe_range.go
- ndframe_ref.go
- ndframe_rolling.go
- ndframe_sort.go
- ndframe_sum.go
- rolling.go
- rolling_count.go
- rolling_max.go
- rolling_mean.go
- rolling_min.go
- rolling_std.go
- rolling_sum.go
- series.go
- series_convert.go
- series_ewm.go
- series_rolling.go
- series_utils.go