Python绘制气泡图

实现python绘制气泡图，用气泡的不同颜色，不同大小展示信息

代码部分

import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import matplotlib.pyplot as plt
from matplotlib.pyplot import MultipleLocator

def DrawBubble(read_name):#气泡图
    sns.set(style = "whitegrid")#设置样式
    fp = pd.read_excel(read_name)#数据来源
    x = fp['序号']#X轴数据
    y = fp['数值']#Y轴数据
    z = fp['数值']#用来调整各个点的大小s
    import matplotlib
    plt.rcParams['font.sans-serif'] = ['SimHei']
    plt.rcParams['axes.unicode_minus'] = False


    cm = plt.cm.get_cmap('jet')   #RdYlBu plasma   jet
    fig,ax = plt.subplots(figsize=(30,20))
    #注意s离散化的方法，因为需要通过点的大小来直观感受其所表示的数值大小
    #我所使用的是当前点的数值减去集合中的最小值后+0.1再*1000
    #参数是X轴数据、Y轴数据、各个点的大小、各个点的颜色
    bubble = ax.scatter(x, y , s = 3*np.sqrt(z)* 100, c = z, cmap = cm,vmin = 0,vmax = 25, linewidth = 0.5, alpha = 0.5)
    ax.grid()
    fig.colorbar(bubble)
    #plt.ylim((-1, 126))
    #ax.set_xlabel('people of cities', fontsize = 15)#X轴标签
    ax.set_ylabel('参数出现次数', fontsize = 18)#Y轴标签
    plt.xticks(())
    plt.yticks(())
    for i in range(len(fp['数值'])):  # 为每个气泡做标注
        plt.annotate(fp['数值'][i], xy=(fp['序号'][i], fp['数值'][i]), xytext=(fp['序号'][i]-0.10, fp['数值'][i] - 0.2), fontproperties="Times New Roman")
        plt.annotate(fp['名称'][0], xy=(fp['序号'][0], fp['数值'][0]), xytext=(fp['序号'][0]- 0.52, fp['数值'][0]-1.35