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。
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#encoding:utf-8 import numpy as np import pandas as pd from matplotlib import pyplot as plt from matplotlib import cm from matplotlib import axes import pylab pylab.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:
以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持服务器之家。
原文链接:https://blog.csdn.net/weixin_38987362/article/details/81625239