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我想要获得一个Fastline图表（类型选择为我获得大量绘图点）。我想在我刚刚获得的数据中加上平均值，并在同一张图上显示。应该很容易，但我不断收到错误“在mscorlib.dll中发生了'System.Reflection.TargetInvocationException'类型的未处理异常”。无法在Fastline图表中绘制多条线
功能如下，如果我注释掉的第二个系列名为[平均时间“]我编译和一线工作。
请注意该函数是异步（.NET 4.5），我使用的”等待Task.Delay（Int32.Parse（txtbx_timing_delay.Text））;“。不知道这是否与它有任何关系，因为我认为我有一个线程，我正在等待。问题？
private async void btn_timing_send_Click(object sender, EventArgs e)
{
int recursive_counter = 0, num = 0, num2 = 0;
double total_time = 0, average_time = 0, min_time = 0, max_time = 0, ave_plot = 0;
num2 = Int32.Parse(txtbx_iterations.Text); // number of required iterations
/*
* Just a word on timings - Windows is bad at doing timings in lower Microseconds and below so we need to do a few things to try and get
* accurate timings.
*
* As the general rule, when testing comms with completion time in the range of several microseconds it's recommended to implement
* the loop running 10,000...100,000 iterations in order to increase the accuracy of the measurement
*/
string str1 = "";
Stream stm = tcpclnt.GetStream();
byte[] payload;
string ID = txtbx_timing_send_data.Text;
str1 = "No Connection";
ID = ID.ToCharArray().Aggregate("", (result, c) => result += ((!string.IsNullOrEmpty(result) && (result.Length + 1) % 3 == 0) ? " " : "") + c.ToString());//add space every two chars to make hex
payload = ID.Split().Select(s => Convert.ToByte(s, 16)).ToArray(); //split the bytes into the array
if (ckbx_plot.Checked)
{
chrt_timings.Series["ResponseTimes"].ChartType = SeriesChartType.FastLine; //set type
chrt_timings.Series["ResponseTimes"].Color = Color.Blue; //set colour
chrt_timings.Series["AverageTime"].ChartType = SeriesChartType.FastLine; //set type
// chrt_timings.Series["AverageTime"].Color = Color.Red; //set colour
// chrt_timings.Series["AverageTime"].BorderDashStyle = ChartDashStyle.Dash;
chrt_timings.Legends.Clear(); // We do not need a legend
chrt_timings.ChartAreas[0].AxisX.IsMarginVisible = false;
}
do
{
try
{
Stopwatch timer = Stopwatch.StartNew();
long frequency = Stopwatch.Frequency;
long nanosecPerTick = (1000L * 1000L * 1000L)/frequency;
long startTick = timer.ElapsedTicks; //start of timed section
stm.Write(payload, 0, payload.Length);
byte[] input = new byte[tcpclnt.ReceiveBufferSize];
int k = stm.Read(input, 0, tcpclnt.ReceiveBufferSize);
Array.Resize(ref input, k); //crop the array to the amount of items it read in
str1 = string.Join(" ", input.Select(b => string.Format("{0:X2} ", b))); //format as hex bytes
long stopTick = timer.ElapsedTicks; //end of timed section
var timestamp = Convert.ToDouble((stopTick - startTick) * nanosecPerTick)/1000000;
timer.Reset();
rchtxbox_timings.SelectionColor = Color.LimeGreen;
rchtxbox_timings.AppendText(str1 + "\r");
rchtxbox_timings.SelectionColor = Color.Yellow;
rchtxbox_timings.AppendText(timestamp + "ms\r\r");
rchtxbox_timings.ScrollToCaret();
if (num == 0) min_time = timestamp;
if (num2 > 1)
{
total_time = total_time + timestamp;
if (max_time < timestamp) max_time = timestamp;
if (min_time > timestamp) min_time = timestamp;
}
if (chkBx_LogData.Checked)
{
using (StreamWriter sw = new StreamWriter(timing_filename, true))
{
str1 = str1.Replace(" ", ""); //take out the spaces
sw.WriteLine(str1 + "," + timestamp.ToString() + "\r");
}
}
//Plot graph if required
if (ckbx_plot.Checked)
{
ave_plot = timestamp/num;
if (ckbx_restrict_graph.Checked)
{
if (chrt_timings.Series["ResponseTimes"].Points.Count() >= Convert.ToInt16(txtbx_axispoints.Text)) chrt_timings.Series["ResponseTimes"].Points.RemoveAt(0);
chrt_timings.Series["ResponseTimes"].Points.Add(timestamp);
chrt_timings.Series["ResponseTimes"].ToolTip = timestamp.ToString();
// if (chrt_timings.Series["AverageTime"].Points.Count() >= Convert.ToInt16(txtbx_axispoints.Text)) chrt_timings.Series["Average Time"].Points.RemoveAt(0);
// chrt_timings.Series["AverageTime"].Points.Add(ave_plot);
chrt_timings.ResetAutoValues();
}
else
{
recursive_counter++;
chrt_timings.Series["ResponseTimes"].Points.AddXY(recursive_counter, timestamp);
chrt_timings.Series["ResponseTimes"].ToolTip = timestamp.ToString();
// chrt_timings.Series["AverageTime"].Points.AddXY(ave_plot, timestamp);
}
}
num = num + 1;
timestamp = 0;
await Task.Delay(Int32.Parse(txtbx_timing_delay.Text));
}
catch (Exception d)
{
rchTxtBx_output.AppendText("red..... " + d.StackTrace);
}
} while (num2 > num);
if (num2 > 1)
{
//write out min, max and ave times
average_time = total_time/num;
rchtxbox_timings.SelectionColor = Color.LightBlue;
rchtxbox_timings.AppendText("\rMinimum Time = " + min_time + "\r");
rchtxbox_timings.SelectionColor = Color.LightBlue;
rchtxbox_timings.AppendText("Maximum Time = " + max_time + "\r");
rchtxbox_timings.SelectionColor = Color.LightBlue;
rchtxbox_timings.AppendText("Average Time = " + average_time + "\r\r");
rchtxbox_timings.ScrollToCaret();
}
}
请创建一个最小的摄制如果可能的话。 – qxg
好吧，有几行注释掉了。哪个是造成这个问题的原因？另外：尝试从文本框拉一次points.count限制和其他数字，并将它们保存在变量中！更好的性能，更好的调试.. – TaW