def temp(filename,x,dic): path='excelFile/'+filename df = pandas.read_excel(path,header=None) data = [] datax = df.iloc[0].tolist() datay=df.iloc[1].tolist() transInt(datax) transInt(datay) slope,intercept,r,p,std_err=stats.linregress(datax,datay) def myfunc(datax): return slope*datax+intercept mymodel=list(map(myfunc,datax)) plt.scatter(datax,datay) plt.plot(datax,mymodel) print(x) result=myfunc(int(x)) if r>=0.7 or r<=-0.7: count=2 while count<6 : mymodel_2=numpy.poly1d(numpy.polyfit(datax,datay,count)) myline=numpy.linspace(min(datax),max(datay),100) r2=r2_score(datay,mymodel_2(datax)) plt.scatter(datax,datay) plt.plot(myline,mymodel_2(myline)) result=mymodel_2(int(x)) if r2>=0.7 or r2<=-0.7: break plt.savefig('figs/result.png') dic['Y']=str(result)这段代码报错main thread is not in main loop

这个错误通常是由于在非主线程中使用了 matplotlib 库的某些功能导致的。为了避免这个错误，您可以在调用 `plt` 绘图函数之前，添加以下两行代码：

import matplotlib
matplotlib.use('Agg')

这样就可以将 matplotlib 的后端设置为 "Agg"，这是一种不需要图形界面的后端，可以避免在非主线程中使用 matplotlib 函数时出现报错。最终代码应该是这样的：

import matplotlib
matplotlib.use('Agg')
import pandas
import numpy
from scipy import stats
from sklearn.metrics import r2_score
import matplotlib.pyplot as plt

def temp(filename, x, dic):
    path = 'excelFile/' + filename
    df = pandas.read_excel(path, header=None)
    data = []
    datax = df.iloc[0].tolist()
    datay = df.iloc[1].tolist()
    transInt(datax)
    transInt(datay)
    slope, intercept, r, p, std_err = stats.linregress(datax, datay)

    def myfunc(datax):
        return slope * datax + intercept

    mymodel = list(map(myfunc, datax))
    plt.scatter(datax, datay)
    plt.plot(datax, mymodel)

    print(x)
    result = myfunc(int(x))

    if r >= 0.7 or r <= -0.7:
        count = 2
        while count < 6:
            mymodel_2 = numpy.poly1d(numpy.polyfit(datax, datay, count))
            myline = numpy.linspace(min(datax), max(datay), 100)
            r2 = r2_score(datay, mymodel_2(datax))
            plt.scatter(datax, datay)
            plt.plot(myline, mymodel_2(myline))
            result = mymodel_2(int(x))
            if r2 >= 0.7 or r2 <= -0.7:
                break

    plt.savefig('figs/result.png')
    dic['Y'] = str(result)

这样就可以避免这个报错了。