Python 数据可视化 散点图

import matplotlib.pyplot as plt
import numpy as npdef plot_scatter(ref_info_dict, test_info_dict):# 绘制散点图，ref横，test纵plt.figure(figsize=(80, 48))n = 0# scatter_header_list = ['peak_insert_size', 'median_insert_size']scatter_header_list = list(ref_info_dict.keys())for header in scatter_header_list:n += 1plt.subplot(8, 10, n)x = np.array(ref_info_dict[header])y = np.array(test_info_dict[header])max_line = max([max(x), max(y)])min_line = min([min(x), min(y)])plt.scatter(x,  # 横坐标y,  # 纵坐标c='red',  # 点的颜色label='function')  # 标签 即为点代表的意思plt.plot([min_line, max_line], [min_line, max_line], ls="--", c=".3")plt.title(header)plt.xlabel("old data")plt.ylabel("new data")# 3.展示图形plt.legend()  # 显示图例plt.show()  # 显示所绘图形plt.savefig('tmp_scatter.jpg')