forked from ardanlabs/gotraining
/
exercise1.go
59 lines (47 loc) · 1.27 KB
/
exercise1.go
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
// All material is licensed under the Apache License Version 2.0, January 2004
// http://www.apache.org/licenses/LICENSE-2.0
// go build
// ./exercise1
// Sample program to read in a CSV, create three filtered datasets, and
// save those datasets to three separate files.
package main
import (
"io/ioutil"
"log"
"github.com/kniren/gota/data-frame"
)
func main() {
// Pull in the CSV data.
irisData, err := ioutil.ReadFile("../../data/iris.csv")
if err != nil {
log.Fatal(err)
}
// Create a dataframe from the CSV string.
// The types of the columns will be inferred.
irisDF := df.ReadCSV(string(irisData))
// Define the names of the three separate species contained in the CSV file.
speciesNames := []string{
"Iris-setosa",
"Iris-versicolor",
"Iris-virginica",
}
// Filter the dataset into three separate dataframes,
// each corresponding to one of the Iris species.
for _, species := range speciesNames {
// Filer the original dataset.
filter := df.F{
Colname: "species",
Comparator: "==",
Comparando: species,
}
filtered := irisDF.Filter(filter)
// Save the filtered dataset.
b, err := filtered.SaveCSV()
if err != nil {
log.Fatal(err)
}
if err := ioutil.WriteFile(species+".csv", b, 0644); err != nil {
log.Fatal(err)
}
}
}