官术网_书友最值得收藏!

Reading in CSV data from a file

Let's consider a simple CSV file, which we will return to later, named iris.csv (available here: https://archive.ics.uci.edu/ml/datasets/iris). This CSV file includes four float columns of flower measurements and a string column with the corresponding flower species:

$ head iris.csv 
5.1,3.5,1.4,0.2,Iris-setosa
4.9,3.0,1.4,0.2,Iris-setosa
4.7,3.2,1.3,0.2,Iris-setosa
4.6,3.1,1.5,0.2,Iris-setosa
5.0,3.6,1.4,0.2,Iris-setosa
5.4,3.9,1.7,0.4,Iris-setosa
4.6,3.4,1.4,0.3,Iris-setosa
5.0,3.4,1.5,0.2,Iris-setosa
4.4,2.9,1.4,0.2,Iris-setosa
4.9,3.1,1.5,0.1,Iris-setosa

With encoding/csv imported, we first open the CSV file and create a CSV reader value:

// Open the iris dataset file.
f, err := os.Open("../data/iris.csv")
if err != nil {
log.Fatal(err)
}
defer f.Close()

// Create a new CSV reader reading from the opened file.
reader := csv.NewReader(f)

Then we can read in all of the records (corresponding to rows) of the CSV file. These records are imported as [][]string:

// Assume we don't know the number of fields per line. By setting
// FieldsPerRecord negative, each row may have a variable
// number of fields.
reader.FieldsPerRecord = -1

// Read in all of the CSV records.
rawCSVData, err := reader.ReadAll()
if err != nil {
log.Fatal(err)
}

We can also read in records one at a time in an infinite loop. Just make sure that you check for the end of the file (io.EOF) so that the loop ends after reading in all of your data:

// Create a new CSV reader reading from the opened file.
reader := csv.NewReader(f)
reader.FieldsPerRecord = -1

// rawCSVData will hold our successfully parsed rows.
var rawCSVData [][]string

// Read in the records one by one.
for {

// Read in a row. Check if we are at the end of the file.
record, err := reader.Read()
if err == io.EOF {
break
}

// Append the record to our dataset.
rawCSVData = append(rawCSVData, record)
}
If your CSV file is not delimited by commas and/or if your CSV file contains commented rows, you can utilize the csv.Reader.Comma and csv.Reader.Comment fields to properly handle uniquely formatted CSV files. In cases where the fields in your CSV file are single-quoted, you may need to add in a helper function to trim the single quotes and parse the values.
主站蜘蛛池模板: 奉贤区| 滦南县| 宜黄县| 恭城| 文安县| 林甸县| 望江县| 通山县| 香格里拉县| 河源市| 开阳县| 喜德县| 德格县| 扎兰屯市| 丰城市| 天台县| 郎溪县| 湘潭市| 石城县| 永宁县| 淅川县| 喀什市| 武隆县| 泰安市| 鹤岗市| 银川市| 西峡县| 岳普湖县| 巴彦淖尔市| 达拉特旗| 古丈县| 古交市| 剑河县| 扎赉特旗| 恩平市| 宣威市| 图片| 色达县| 阿图什市| 嫩江县| 孟津县|