python绘制矩阵散点图

从文件results1.txt中读取数据，results1.txt放在py文件同目录下，数据形式为八列

results1.txt数据：

1.318,3.272,0.361,0.572,0.677,3.539,3.405,4.505

3.051,4.163,1.648,4.442,0.991,3.676,2.917,3.686

3.211,1.729,1.632,2.093,4.039,1.228,0.648,4.866

4.564,4.920,3.045,3.296,1.936,4.042,0.042,3.233

4.823,4.675,1.364,0.282,1.103,4.087,1.815,3.731

2.640,2.864,3.450,1.541,3.739,0.743,4.417,4.136

3.035,4.213,3.089,0.951,2.467,1.409,3.079,3.131

3.993,2.260,1.028,2.534,1.897,3.477,0.346,4.802

3.520,4.848,1.891,1.436,3.998,2.978,2.825,2.861

0.844,4.590,2.579,4.081,0.349,3.923,2.503,2.968

代码：

import matplotlib.pyplot as pltimport numpy as np# 定义画散点图的函数def draw_scatter(n, s):""":param n: 点的数量，整数:param s:点的大小，整数:return: None"""# 加载数据data = np.loadtxt('results1.txt', encoding='utf-8', delimiter=',')# 通过切片获取横坐标x1，data[:, 0]表示第一列数据x1 = data[:, 0]# 通过切片获取纵坐标R，data[:, 1]表示第二列数据y1 = data[:, 1]x2 = data[:, 2]y2 = data[:, 3]x3 = data[:, 4]y3 = data[:, 5]x4 = data[:, 6]y4 = data[:, 7]# 创建画图窗口fig = plt.figure()# 设置标题#ax.set_title('Scatter diagram')# 设置横坐标名称#ax.set_xlabel('gamma-value')# 设置纵坐标名称#ax.set_ylabel('R-value')# 将画图窗口分成2行2列，选择第1块区域作子图ax1 = fig.add_subplot(2, 2, 1)# 画散点图ax1.scatter(x1, y1, s=s, c='k', marker='.')# 调整横坐标的上下界plt.xlim(xmax=5, xmin=0)plt.ylim(ymax=5, ymin=0)# 将画图窗口分成2行2列，选择第2块区域作子图ax2 = fig.add_subplot(2, 2, 2)# 画散点图ax2.scatter(x2, y2, s=s, c='k', marker='.')# 调整横坐标的上下界plt.xlim(xmax=5, xmin=0)plt.ylim(ymax=5, ymin=0)# 将画图窗口分成2行2列，选择第3块区域作子图ax3 = fig.add_subplot(2, 2, 3)# 画散点图ax3.scatter(x3, y3, s=s, c='k', marker='.')# 调整横坐标的上下界plt.xlim(xmax=5, xmin=0)plt.ylim(ymax=5, ymin=0)# 将画图窗口分成2行2列，选择第4块区域作子图ax4 = fig.add_subplot(2, 2, 4)# 画散点图ax4.scatter(x4, y4, s=s, c='k', marker='.')# 调整横坐标的上下界plt.xlim(xmax=5, xmin=0)plt.ylim(ymax=5, ymin=0)# 显示plt.show()# 主模块if __name__ == "__main__":# 运行draw_scatter(n=10, s=20)

输出结果：