statictimeseries

package
v2.0.0+incompatible Latest Latest
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 Go to latest Published: Jun 21, 2020 License: MIT Imports: 13 Imported by: 0

Documentation

Overview

statictimeseriesdata provides tools for adding and formatting static time series data for reporting purposes.

statictimeseriesdata provides tools for adding and formatting static time series data for reporting purposes.

statictimeseriesdata provides tools for adding and formatting static time series data for reporting purposes.

statictimeseriesdata provides tools for adding and formatting static time series data for reporting purposes.

statictimeseriesdata provides tools for adding and formatting static time series data for reporting purposes.

statictimeseriesdata provides tools for adding and formatting static time series data for reporting purposes.

Index

Constants

This section is empty.

Variables

This section is empty.

Functions

func DS3ToTable 

func DS3ToTable(ds3 DataSeriesSet, fmtTime func(time.Time) string) (table.TableData, error)

DS3ToTable returns a `DataSeriesSetSimple` as a `table.TableData`.

func DataSeriesItemTimes 

func DataSeriesItemTimes(series *DataSeries) []time.Time

func DataSeriesMapMinMaxTimes 

func DataSeriesMapMinMaxTimes(dsm map[string]DataSeries) (time.Time, time.Time, error)

func DataSeriesMapMinMaxValues 

func DataSeriesMapMinMaxValues(dsm map[string]DataSeries) (int64, int64, error)

func DataSeriesMinMaxTimes 

func DataSeriesMinMaxTimes(series *DataSeries) (time.Time, time.Time)

func DataSeriesSliceNames 

func DataSeriesSliceNames(dsSlice []DataSeries) []string

func DataSeriesSliceTable 

func DataSeriesSliceTable(dsSlice []DataSeries) table.TableData

func DataSeriesSliceTimes 

func DataSeriesSliceTimes(dsSlice []DataSeries) []string

func DataSeriesSliceWriteXLSX 

func DataSeriesSliceWriteXLSX(filename string, dsSlice []DataSeries) error

DataSeriesSliceWriteXLSX writes a slice of DataSeries to an Excel XLSX file for easy consumption.

func DataSeriesTimeSeries 

func DataSeriesTimeSeries(series *DataSeries, interval timeutil.Interval) []time.Time

func DataSeriesToTable 

func DataSeriesToTable(ds DataSeries, col2 string) table.TableData

DataSeriesToTable generates a `table.TableData` given a `DataSeries`.

func DataSeriesWriteXLSX 

func DataSeriesWriteXLSX(filename string, ds DataSeries, col2 string) error

DataSeriesWriteXLSX writes an XSLX file given a `DataSeries`

func MSS2MS 

func MSS2MS(in map[string]map[string]int) map[string]int

func ReportAxisX 

func ReportAxisX(dss DataSeriesSet, cols int, conv func(time.Time) string) []string

ReportAxisX generates data for use with `C3Chart.C3Axis.C3AxisX.Categories`.

func WriteXLSX 

func WriteXLSX(filename string, ds3 DataSeriesSet, fmtTime func(time.Time) string) error

Types

type DataItem 

type DataItem struct {
	SeriesName string
	Time       time.Time
	IsFloat    bool
	Value      int64
	ValueFloat float64
}

type DataSeries 

type DataSeries struct {
	SeriesName string
	ItemMap    map[string]DataItem
	IsFloat    bool
	Interval   timeutil.Interval // Informational
}

func AggregateSeries 

func AggregateSeries(s1 DataSeries) DataSeries

func DataSeriesDivide 

func DataSeriesDivide(numer, denom DataSeries) (DataSeries, error)

func NewDataSeries 

func NewDataSeries() DataSeries

func (*DataSeries) AddItem 

func (series *DataSeries) AddItem(item DataItem)

AddItem adds data item. It will sum values when existing time unit is encountered.

func (*DataSeries) GetTimeSlice 

func (ds *DataSeries) GetTimeSlice(sortSlice bool) timeutil.TimeSlice

func (*DataSeries) ItemsSorted 

func (series *DataSeries) ItemsSorted() []DataItem

func (*DataSeries) Keys 

func (series *DataSeries) Keys() []string

func (*DataSeries) Last 

func (series *DataSeries) Last() (DataItem, error)

func (*DataSeries) MaxValue 

func (series *DataSeries) MaxValue() int64

func (*DataSeries) MinMaxTimes 

func (series *DataSeries) MinMaxTimes() (time.Time, time.Time)

func (*DataSeries) MinMaxValues 

func (series *DataSeries) MinMaxValues() (int64, int64)

func (*DataSeries) MinMaxValuesFloat64 

func (series *DataSeries) MinMaxValuesFloat64() (float64, float64)

func (*DataSeries) MinValue 

func (series *DataSeries) MinValue() int64

func (*DataSeries) Pop 

func (series *DataSeries) Pop() (DataItem, error)

func (*DataSeries) SetSeriesName 

func (series *DataSeries) SetSeriesName(seriesName string)

func (*DataSeries) SortedItems added in v1.0.0 

func (series *DataSeries) SortedItems() []DataItem

SortedItems returns sorted DataItems. This currently uses a simple string sort on RFC3339 times. For dates that are not handled properly this way, this can be enhanced to use more proper comparison

func (*DataSeries) ToMonth 

func (series *DataSeries) ToMonth() DataSeries

func (*DataSeries) ToMonthCumulative 

func (ds *DataSeries) ToMonthCumulative(timesInput ...time.Time) (DataSeries, error)

type DataSeriesSet 

type DataSeriesSet struct {
	Name     string
	Series   map[string]DataSeries
	Times    []time.Time
	Order    []string
	IsFloat  bool
	Interval timeutil.Interval
}

func NewDataSeriesSet 

func NewDataSeriesSet() DataSeriesSet

func (*DataSeriesSet) AddDataSeries 

func (set *DataSeriesSet) AddDataSeries(ds DataSeries)

func (*DataSeriesSet) AddItem 

func (set *DataSeriesSet) AddItem(item DataItem)

func (*DataSeriesSet) AddItems 

func (set *DataSeriesSet) AddItems(items ...DataItem)

func (*DataSeriesSet) GetItem 

func (set *DataSeriesSet) GetItem(seriesName, rfc3339 string) (DataItem, error)

func (*DataSeriesSet) GetSeriesByIndex 

func (set *DataSeriesSet) GetSeriesByIndex(index int) (DataSeries, error)

func (*DataSeriesSet) Inflate 

func (set *DataSeriesSet) Inflate()

func (*DataSeriesSet) MinMaxTimes 

func (set *DataSeriesSet) MinMaxTimes() (time.Time, time.Time)

func (*DataSeriesSet) MinMaxValues 

func (set *DataSeriesSet) MinMaxValues() (int64, int64)

func (*DataSeriesSet) MinMaxValuesFloat64 

func (set *DataSeriesSet) MinMaxValuesFloat64() (float64, float64)

func (*DataSeriesSet) SeriesNames 

func (set *DataSeriesSet) SeriesNames() []string

func (*DataSeriesSet) TimeStrings 

func (set *DataSeriesSet) TimeStrings() []string

func (*DataSeriesSet) ToMonth 

func (set *DataSeriesSet) ToMonth() DataSeriesSet

func (*DataSeriesSet) ToMonthCumulative 

func (set *DataSeriesSet) ToMonthCumulative() (DataSeriesSet, error)

type DataSeriesSetSimpleSet 

type DataSeriesSetSimpleSet struct {
	Name    string
	SetsMap map[string]DataSeriesSet
}

func NewDataSeriesSetSimpleSet 

func NewDataSeriesSetSimpleSet(name string) DataSeriesSetSimpleSet

func (*DataSeriesSetSimpleSet) AddItem 

func (ds3set *DataSeriesSetSimpleSet) AddItem(setName string, item DataItem)

func (*DataSeriesSetSimpleSet) SetNamesSorted 

func (ds3set *DataSeriesSetSimpleSet) SetNamesSorted() []string

type RowFloat64 

type RowFloat64 struct {
	Name   string
	Values []float64
}

func ReportFunnelPct 

func ReportFunnelPct(rows []RowInt64) []RowFloat64

func ReportGrowthPct 

func ReportGrowthPct(rows []RowInt64) []RowFloat64

func (*RowFloat64) Flatten 

func (row *RowFloat64) Flatten(conv func(v float64) string) []string

type RowInt64 

type RowInt64 struct {
	Name         string
	DisplayName  string
	HavePlusOne  bool
	ValuePlusOne int64
	Values       []int64
}

func Report 

func Report(dss DataSeriesSet, cols int, lowFirst bool) []RowInt64

Report generates data for use with `C3Chart.C3ChartData.Columns`.

func (*RowInt64) Flatten 

func (row *RowInt64) Flatten(conv func(v int64) string) []string

type TimeSeriesFunnel 

type TimeSeriesFunnel struct {
	Series map[string]TimeSeriesSimple
	Order  []string
}

func (*TimeSeriesFunnel) DataSeriesSetByQuarter 

func (tsf *TimeSeriesFunnel) DataSeriesSetByQuarter() (DataSeriesSet, error)

func (*TimeSeriesFunnel) Times 

func (tsf *TimeSeriesFunnel) Times() []time.Time

func (*TimeSeriesFunnel) TimesSorted 

func (tsf *TimeSeriesFunnel) TimesSorted() []time.Time

type TimeSeriesSimple 

type TimeSeriesSimple struct {
	Name        string
	DisplayName string
	Times       []time.Time
}

func NewTimeSeriesSimple 

func NewTimeSeriesSimple(name, displayName string) TimeSeriesSimple

func (*TimeSeriesSimple) ToDataSeriesQuarter 

func (tss *TimeSeriesSimple) ToDataSeriesQuarter() DataSeries

type TimeStats 

type TimeStats struct {
	Items []DataItem
}

DataItemsStats is used to generate unique counts stats for an array of with time ane names.

func (*TimeStats) UniqueCountsByMonth 

func (ts *TimeStats) UniqueCountsByMonth() map[string]int

func (*TimeStats) UniqueCountsByQuarter 

func (ts *TimeStats) UniqueCountsByQuarter() map[string]int

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