Pivot Table

A pivot table is a table of statistics that summarizes the data of a more extensive table (such as from a database, spreadsheet, or business intelligence program). This summary might include sums, averages, or other statistics, which the pivot table groups together in a meaningful way.

PivotTableOption directly maps the format settings of the pivot table.

type PivotTableOption struct {
    DataRange           string
    PivotTableRange     string
    Rows                []PivotTableField
    Columns             []PivotTableField
    Data                []PivotTableField
    Filter              []PivotTableField
    RowGrandTotals      bool
    ColGrandTotals      bool
    ShowDrill           bool
    UseAutoFormatting   bool
    PageOverThenDown    bool
    MergeItem           bool
    CompactData         bool
    ShowError           bool
    ShowRowHeaders      bool
    ShowColHeaders      bool
    ShowRowStripes      bool
    ShowColStripes      bool
    ShowLastColumn      bool
    PivotTableStyleName string
}

PivotTableStyleName: The built-in pivot table style names:

PivotStyleLight1 - PivotStyleLight28
PivotStyleMedium1 - PivotStyleMedium28
PivotStyleDark1 - PivotStyleDark28

PivotTableField directly maps the field settings of the pivot table.

type PivotTableField struct {
    Compact         bool
    Data            string
    Name            string
    Outline         bool
    Subtotal        string
    DefaultSubtotal bool
}

Subtotal specifies the aggregation function that applies to this data field. The default value is Sum. The possible values for this attribute are:

Optional Value
Average
Count
CountNums
Max
Min
Product
StdDev
StdDevp
Sum
Var
Varp

Name specifies the name of the data field. Maximum 255 characters are allowed in data field name, excess characters will be truncated.

Create Pivot Table

func (f *File) AddPivotTable(opt *PivotTableOption) error

AddPivotTable provides the method to add pivot table by given pivot table options.

For example, create a pivot table on the Sheet1!$G$2:$M$34 area with the region Sheet1!$A$1:$E$31 as the data source, summarize by sum for sales:

create pivot table with excelize using Go

package main

import (
    "fmt"
    "math/rand"

    "github.com/xuri/excelize/v2"
)

func main() {
    f := excelize.NewFile()
    // Create some data in a sheet
    month := []string{"Jan", "Feb", "Mar", "Apr", "May",
        "Jun", "Jul", "Aug", "Sep", "Oct", "Nov", "Dec"}
    year := []int{2017, 2018, 2019}
    types := []string{"Meat", "Dairy", "Beverages", "Produce"}
    region := []string{"East", "West", "North", "South"}
    f.SetSheetRow("Sheet1", "A1", &[]string{"Month", "Year", "Type", "Sales", "Region"})
    for row := 2; row < 32; row++ {
        f.SetCellValue("Sheet1", fmt.Sprintf("A%d", row), month[rand.Intn(12)])
        f.SetCellValue("Sheet1", fmt.Sprintf("B%d", row), year[rand.Intn(3)])
        f.SetCellValue("Sheet1", fmt.Sprintf("C%d", row), types[rand.Intn(4)])
        f.SetCellValue("Sheet1", fmt.Sprintf("D%d", row), rand.Intn(5000))
        f.SetCellValue("Sheet1", fmt.Sprintf("E%d", row), region[rand.Intn(4)])
    }
    if err := f.AddPivotTable(&excelize.PivotTableOption{
        DataRange:       "Sheet1!$A$1:$E$31",
        PivotTableRange: "Sheet1!$G$2:$M$34",
        Rows: []excelize.PivotTableField{
            {Data: "Month", DefaultSubtotal: true}, {Data: "Year"}},
        Filter: []excelize.PivotTableField{
            {Data: "Region"}},
        Columns: []excelize.PivotTableField{
            {Data: "Type", DefaultSubtotal: true}},
        Data: []excelize.PivotTableField{
            {Data: "Sales", Name: "Summarize", Subtotal: "Sum"}},
        RowGrandTotals: true,
        ColGrandTotals: true,
        ShowDrill:      true,
        ShowRowHeaders: true,
        ShowColHeaders: true,
        ShowLastColumn: true,
    }); err != nil {
        fmt.Println(err)
    }
    if err := f.SaveAs("Book1.xlsx"); err != nil {
        fmt.Println(err)
    }
}

results matching ""

    No results matching ""