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Properties

You can check your Series's properties with these funcitons.

Accessors​

func (s Series) Data() []interface{}

func (s Series) Index() IndexData

func (s Series) Name() string

func (s Series) Dtype() string

The fields of Series type are private, but gambas provides accessors to get these fields.

ValueCounts​

func (s *Series) ValueCounts() (Series, error)

ValueCounts returns a Series containing the number of unique values in a given Series.

df, err := gambas.ReadCsv(filepath.Join(".", "neo_v2.csv"), []string{"id"})
if err != nil {
    fmt.Println(err)
}

col1, err := df.LocCol("est_diameter_min")
if err != nil {
    fmt.Println(err)
}

res, err := col1.ValueCounts()
if err != nil {
    fmt.Println(err)
}

res.Head(10)
Data            |    Unique Value Count of est_diameter_min     
0.0006089126    |    1                                          
0.0006832112    |    6                                          
0.0008176265    |    5                                          
0.0009216265    |    4                                          
0.0010105434    |    9                                          
0.0010581689    |    31                                         
0.001139082     |    4                                          
0.0011496218    |    3                                          
0.0011528027    |    1                                          
0.0011549282    |    1

IndexHasDuplicateValues​

func (s *Series) IndexHasDuplicateValues() (bool, error)

IndexHasDuplicateValues checks if the Series have duplicate index values.

df, err := gambas.ReadCsv(filepath.Join(".", "neo_v2.csv"), []string{"id"})
if err != nil {
    fmt.Println(err)
}

col1, err := df.LocCol("est_diameter_min")
if err != nil {
    fmt.Println(err)
}

col1.SortByIndex(true)
col1.Head(5)

fmt.Println("")

res, err := col1.IndexHasDuplicateValues()
if err != nil {
    fmt.Println(err)
}

fmt.Println(res)
id         |    est_diameter_min     
2000433    |    23.0438466577        
2000433    |    23.0438466577        
2000433    |    23.0438466577        
2000719    |    2.0443487103         
2001036    |    37.8926498379        

true