我有一个C#代码,它首先帮助运行python环境,然后执行python进程。但问题是它需要很多时间来执行。
实际上,我只想在python脚本中传递我的值并执行单行代码。但每次都需要执行所有的python代码。有没有一种方法可以在外部运行python进程,在我需要的时候只运行一行。
我用这个附加了C代码和python进程
C#代码
public String Insert(float[] values)
{
// full path of python interpreter
string python = @"C:\ProgramData\Anaconda2\python.exe";
// python app to call
string myPythonApp = @"C:\classification.py";
// dummy parameters to send Python script
//int x = 2;
//int y = 5;
// Create new process start info
ProcessStartInfo myProcessStartInfo = new ProcessStartInfo(python);
// make sure we can read the output from stdout
myProcessStartInfo.UseShellExecute = false;
myProcessStartInfo.RedirectStandardOutput = true;
myProcessStartInfo.CreateNoWindow = true;
myProcessStartInfo.WindowStyle = ProcessWindowStyle.Minimized;
// start python app with 3 arguments
// 1st arguments is pointer to itself, 2nd and 3rd are actual arguments we want to send
myProcessStartInfo.Arguments = myPythonApp + " " + values[0] + " " + values[1] + " " + values[2] + " " + values[3] + " " + values[4] + " " + values[5];
Process myProcess = new Process();
// assign start information to the process
myProcess.StartInfo = myProcessStartInfo;
myProcess.Start();
// Read the standard output of the app we called.
// in order to avoid deadlock we will read output first and then wait for process terminate:
StreamReader myStreamReader = myProcess.StandardOutput;
string myString = myStreamReader.ReadLine();
/*if you need to read multiple lines, you might use:
string myString = myStreamReader.ReadToEnd() */
// wait exit signal from the app we called and then close it.
myProcess.WaitForExit();
myProcess.Close();
// write the output we got from python app
Console.WriteLine("Value received from script: " + myString);
Console.WriteLine("Value received from script: " + myString);
和python脚本
import numpy as np
import sys
val1 = float(sys.argv[1])
val2 = float(sys.argv[2])
val3 = float(sys.argv[3])
val4 = float(sys.argv[4])
val5 = float(sys.argv[5])
val6 = float(sys.argv[6])
# Load dataset
url = "F:\FINAL YEAR PROJECT\Amila\data2.csv"
names = ['JawLower', 'BrowLower', 'BrowRaiser', 'LipCornerDepressor', 'LipRaiser','LipStretcher','Emotion_Id']
dataset = pandas.read_csv(url, names=names)
# shape
# print(dataset.shape)
# class distribution
# print(dataset.groupby('Emotion_Id').size())
# Split-out validation dataset
array = dataset.values
X = array[:,0:6]
Y = array[:,6]
neigh = KNeighborsClassifier(n_neighbors=3)
neigh.fit(X, Y)
print(neigh.predict([[val1,val2,val3,val4,val5,val6]]))
print(neigh.predict([[val1,val2,val3,val4,val5,val6]])这是我要分别执行的代码行。
目前没有回答
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