我有一個包含 6 列的文件，我必須繪制 2 個第一列，但要考慮在第 6 列中具有價值的點。第 6 列有很多零和幾乎為零的數(shù)字，當(dāng)我放置a[5]>=0時，它也需要一些幾乎為零的點，另一方面，不可能進(jìn)行浮點過濾，我的意思是在 float 數(shù)組上應(yīng)用過濾器。如何應(yīng)用列表過濾列以提取緩沖區(qū)并繪制 X 和 Y。import numpy as npimport matplotlib.pyplot as pltimport statistics from statistics import mode %matplotlib qtdef most_frequent(List):     counter = 0    num = List[0]     for i in List:         curr_frequency = List.count(i)         if(curr_frequency> counter):             counter = curr_frequency             num = i     return numwith open('file_1001.out', 'r') as f:    lines = f.readlines()    near = [float(line.split()[5]) for line in lines]    #list(filter(lambda  near: near = 0, lines))    x = [float(line.split()[0]) for line in lines]    y = [float(line.split()[1]) for line in lines]print(most_frequent(near))plt.plot(x[near<=0.0], y[near<=0.0], lw=1.75,label='Points filtered by 6th column= 0')plt.plot(x,y,label='Plot without filter')plt.axis('equal')plt.show()