我必须解析(C#)一个.CSV
文件,其变量为" width"和2行标题信息(第一行是名称,第二行是单位)。
数据如下:
Example1.CSV:
"timestamp","NAME_1","NAME_2","NAME_3","NAME_4"
"ms","unit_1","unit_2","unit_3","unit_4"
0.01,1.23,4.56,7.89,0.12
0.02,1.23,4.66,7.89,0.11
0.03,1.23,4.76,7.89,0.11
0.04,56.23,4.86,7.89,0.12
Example2.CSV:
"timestamp","NAME_1","NAME_2","NAME_3","NAME_4","NAME_5",...,"NAME_N"
"ms","unit_1","unit_2","unit_3","unit_4","unit_5",...,"unit_N"
0.01,1.23,4.56,7.89,0.12,0.13,...,0.27
0.02,1.23,4.66,7.89,0.12,0.13,...,0.22
0.03,1.23,4.76,7.89,0.11,0.13,...,0.24
0.04,56.23,4.86,7.89,0.12,0.13,...,0.29
N为"宽度"表的值(值可以高达128或更大)。我计划使用Filehelpers。
我想过使用[FieldOptional()]
- 但这非常不方便,特别是当"宽度"是可变的......
我目前的尝试看起来像是
[IgnoreFirst(2)]
[DelimitedRecord(",")]
public sealed class LogData
{
public Double ts;
public Double Field1;
[FieldNullValue(0.0)]
[FieldOptional()]
public Double Field2;
[FieldNullValue(0.0)]
[FieldOptional()]
public Double Field3;
// and so on
}
任何帮助"如何以更优雅的方式解决变宽" -Problem非常感谢 - 非常感谢您提前!
本
答案 0 :(得分:2)
如果您打算将文件转换为DataTable,则有更好的选择
请使用FileHelpers库的CsvEngine。请参阅下面的代码段:
using (MemoryStream stream = new MemoryStream(_fileContent)) //file content can be file as byte array
{
TextReader reader = new StreamReader(stream);
string path = "C:\\Sample.csv";
CsvEngine csvEngine = new CsvEngine("Model", ',', path);
var dataTable = csvEngine.ReadStreamAsDT(reader);
//Do whatever with dataTable
}
此处示例文件可以是csv文件,也可以是包含要处理的csv文件头的文本文件。 DataTable的列将根据示例文件的标题命名
干杯
答案 1 :(得分:1)
您可以使用可选的数组字段。我认为你需要使用FileHelpers 2.9.9。
[IgnoreFirst(2)]
[DelimitedRecord(",")]
public class LogData
{
public Double TimeStamp;
[FieldNullValue(0.0)]
[FieldOptional, FieldArrayLength(0, 100)]
public Double[] ManyFields;
}
这是一个有效的例子。
class Program
{
static String content =
@"""timestamp"",""NAME_1"",""NAME_2"",""NAME_3"",""NAME_4""
""ms"",""unit_1"",""unit_2"",""unit_3"",""unit_4""
0.01,1.23,4.56,7.89,0.12
0.02,1.23,4.66,7.89,0.11
0.03,1.23,4.76,7.89,0.11
0.04,56.23,4.86,7.89,0.12";
private static void Main()
{
var engine = new FileHelperEngine<LogData>();
var records = engine.ReadString(content);
Assert.AreEqual(0.01, records[0].TimeStamp);
Assert.AreEqual(1.23, records[0].ManyFields[0]);
Assert.AreEqual(4.56, records[0].ManyFields[1]);
Assert.AreEqual(7.89, records[0].ManyFields[2]);
Assert.AreEqual(0.12, records[0].ManyFields[3]);
}
}