本文实例为大家分享了python绘制热力图的具体代码，供大家参考，具体内容如下

python的热力图是用皮尔逊相关系数来查看两者之间的关联性。

#encoding:utf-8import numpy as npimport pandas as pdfrom matplotlib import pyplot as pltfrom matplotlib import cmfrom matplotlib import axesimport pylabpylab.mpl.rcParams['font.sans-serif'] = ['SimHei']#防止中文乱码pylab.mpl.rcParams['axes.unicode_minus'] = False#防止中文乱码def draw_heatmap(data,xlabels,ylabels): cmap = cm.Blues figure=plt.figure(facecolor='w') ax=figure.add_subplot(2,1,1,position=[0.1,0.15,0.8,0.8]) ax.set_yticks(range(len(ylabels))) ax.set_yticklabels(ylabels) ax.set_xticks(range(len(xlabels))) ax.set_xticklabels(xlabels) vmax=data[0][0] vmin=data[0][0] for i in data: for j in i: if j>vmax: vmax=j if j<vmin: vmin=j map=ax.imshow(data,interpolation='nearest',cmap=cmap,aspect='auto',vmin=vmin,vmax=vmax) cb = plt.colorbar(mappable=map,cax=None,ax=None,shrink=0.5) plt.xticks(rotation=90) # 将字体进行旋转 plt.yticks(rotation=360) plt.show()data = pd.read_csv('test.csv',encoding='gbk')a = [[1063620,291288,213322,120233,972752,1896180,483012,1609664,413538,778350,420643,212472,2599510,1574470,254141],[258914,48064,31948,19534,142792,295841,69143,291524,78926,90238,79336,47938,454656,271486,35304],[517687,135483,68418,66670,301544,777798,307562,810314,234086,238859,145959,125258,1480672,764612,153237],[277377,38581,31145,17612,121162,254534,60746,253148,62054,93499,63346,36422,356036,212109,27758],[19030,2835,2174,1575,7325,18258,6837,23457,5340,5277,5120,4017,34122,21314,2961],[351720,107299,57186,55485,337368,563436,188368,563515,128047,178664,117886,72451,798121,444825,65599]] xlabels= [u'3C电子',u'房产家居',u'服饰',u'健康保健',u'金融财经',u'旅游',u'美容美体',u'汽车',u'求职&教育',u'奢侈品',u'体育健身',u'网游',u'休闲&爱好',u'影视娱乐',u'孕婴育儿']ylabels= ['iphoneX','mix2','oppor11','samsang','vivo','mate10']draw_heatmap(a,xlabels,ylabels)

结果：

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