Python 数据可视化 散点图

Python 数据可视化 散点图

import matplotlib.pyplot as plt
import numpy as np
def 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 += 1
        plt.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')