我就廢話不多說了，直接上代碼吧！

import numpy as npimport matplotlib.pyplot as pltdef gen_clusters():  mean1 = [0,0]  cov1 = [[1,0],[0,10]]  data = np.random.multivariate_normal(mean1,cov1,100)    mean2 = [10,10]  cov2 = [[10,0],[0,1]]  data = np.append(data,           np.random.multivariate_normal(mean2,cov2,100),           0)    mean3 = [10,0]  cov3 = [[3,0],[0,4]]  data = np.append(data,           np.random.multivariate_normal(mean3,cov3,100),           0)    return np.round(data,4)def save_data(data,filename):  with open(filename,'w') as file:    for i in range(data.shape[0]):      file.write(str(data[i,0])+','+str(data[i,1])+'/n')      def load_data(filename):  data = []  with open(filename,'r') as file:    for line in file.readlines():      data.append([ float(i) for i in line.split(',')])  return np.array(data)def show_scatter(data):  x,y = data.T  plt.scatter(x,y)  plt.axis()  plt.title("scatter")  plt.xlabel("x")  plt.ylabel("y")  data = gen_clusters()save_data(data,'3clusters.txt')d = load_data('3clusters.txt')show_scatter(d)

以上這篇python 多維高斯分布數據生成方式就是小編分享給大家的全部內容了，希望能給大家一個參考，也希望大家多多支持武林網之家。