我就废话不多说了,直接上代码吧!
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)
以上这篇python 多维高斯分布数据生成方式就是小编分享给大家的全部内容了,希望能给大家一个参考,也希望大家多多支持武林网之家。
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