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: 安化县| 美姑县| 高安市| 宁远县| 弥勒县| 鄯善县| 治多县| 宽城| 曲周县| 建阳市| 福清市| 海盐县| 分宜县| 乌拉特前旗| 博兴县| 娄烦县| 永仁县| 商丘市| 冀州市| 岚皋县| 株洲市| 集贤县| 梁河县| 乌海市| 海口市| 乐安县| 阳东县| 廊坊市| 浦东新区| 大理市| 乐东| 池州市| 醴陵市| 新源县| 宝山区| 保山市| 繁峙县| 六枝特区| 竹山县| 蓝山县| 桦川县|