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), fontsize=10.2, fontproperties="simhei")
        plt.annotate(fp['名称'][1], xy=(fp['序号'][1], fp['数值'][1]), xytext=(fp['序号'][1]- 0.52, fp['数值'][1]+1.1), fontsize=10.2, fontproperties="simhei")
        plt.annotate(fp['名称'][2], xy=(fp['序号'][2], fp['数值'][2]), xytext=(fp['序号'][2]- 0.45, fp['数值'][2]+1.1), fontsize=10.2, fontproperties="simhei")
        plt.annotate(fp['名称'][3], xy=(fp['序号'][3], fp['数值'][3]), xytext=(fp['序号'][3]- 0.42, fp['数值'][3]+1.1), fontsize=10.2, fontproperties="simhei")
        plt.annotate(fp['名称'][4], xy=(fp['序号'][4], fp['数值'][4]), xytext=(fp['序号'][4]- 0.20, fp['数值'][4]+1.1), fontsize=10.2, fontproperties="simhei")
        plt.annotate(fp['名称'][5], xy=(fp['序号'][5], fp['数值'][5]), xytext=(fp['序号'][5]- 0.40, fp['数值'][5]+1.1), fontsize=10.2, fontproperties="simhei")
        plt.annotate(fp['名称'][6], xy=(fp['序号'][6], fp['数值'][6]), xytext=(fp['序号'][6]- 0.35, fp['数值'][6]+1.05), fontsize=10.2, fontproperties="simhei")
        plt.annotate(fp['名称'][7], xy=(fp['序号'][7], fp['数值'][7]), xytext=(fp['序号'][7]- 0.27, fp['数值'][7]+0.95), fontsize=10.2, fontproperties="simhei")
        plt.annotate(fp['名称'][8], xy=(fp['序号'][8], fp['数值'][8]), xytext=(fp['序号'][8]- 0.45, fp['数值'][8]+0.9), fontsize=10.2, fontproperties="simhei")
        plt.annotate(fp['名称'][9], xy=(fp['序号'][9], fp['数值'][9]), xytext=(fp['序号'][9]- 0.36, fp['数值'][9]+1.1), fontsize=10.2, fontproperties="simhei")
        plt.annotate(fp['名称'][10], xy=(fp['序号'][10], fp['数值'][10]), xytext=(fp['序号'][10]- 0.50, fp['数值'][10]+0.95), fontsize=10.2, fontproperties="simhei")
        plt.annotate(fp['名称'][11], xy=(fp['序号'][11], fp['数值'][11]), xytext=(fp['序号'][11]- 0.40, fp['数值'][11]+0.75), fontsize=10.2, fontproperties="simhei")
        plt.annotate(fp['名称'][12], xy=(fp['序号'][12], fp['数值'][12]), xytext=(fp['序号'][12]- 0.80, fp['数值'][12]-0.9), fontsize=10.2, fontproperties="simhei")
        plt.annotate(fp['名称'][13], xy=(fp['序号'][13], fp['数值'][13]), xytext=(fp['序号'][13]- 0.50, fp['数值'][13]+0.75), fontsize=10.2, fontproperties="simhei")
        plt.annotate(fp['名称'][14], xy=(fp['序号'][14], fp['数值'][14]), xytext=(fp['序号'][14]- 0.26, fp['数值'][14]-0.9), fontsize=10.2, fontproperties="simhei")
        plt.annotate(fp['名称'][15], xy=(fp['序号'][15], fp['数值'][15]), xytext=(fp['序号'][15]- 0.64, fp['数值'][15]+0.75), fontsize=10.2, fontproperties="simhei")
        plt.annotate(fp['名称'][16], xy=(fp['序号'][16], fp['数值'][16]), xytext=(fp['序号'][16]- 0.50, fp['数值'][16]-0.9), fontsize=10.2, fontproperties="simhei")
        plt.annotate(fp['名称'][17], xy=(fp['序号'][17], fp['数值'][17]), xytext=(fp['序号'][17]- 0.75, fp['数值'][17]+0.75), fontsize=10.2, fontproperties="simhei")
        plt.annotate(fp['名称'][18], xy=(fp['序号'][18], fp['数值'][18]), xytext=(fp['序号'][18]- 0.50, fp['数值'][18]-0.9), fontsize=10.2, fontproperties="simhei")
        plt.annotate(fp['名称'][19], xy=(fp['序号'][19], fp['数值'][19]), xytext=(fp['序号'][19]- 0.62, fp['数值'][19]+0.75), fontsize=10.2, fontproperties="simhei")

    plt.show()
    #fig.savefig('hah.png', bbox_inches='tight', dpi=800, pad_inches=0.0)
    fig.savefig('液滴.jpg', dpi=800)
if __name__=='__main__':
    DrawBubble("液滴.xlsx")#气泡图

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