py使用polar绘制霍兰德职业测试雷达图

本博文源于《python可视化》(黑马程序员编著)，旨在讲解如何使用python的thetagrids绘制雷达图.先讲解polar函数如何使用,然后讲解一个霍兰德职业测试案例

polar函数讲解

polar(theta,r,**kwargs)

该函数常用参数如下:

theta:表示每个数据点所在射线与极径的夹角r:表示每个数据点到原点的距离

示例：霍兰德职业兴趣测试雷达图

import numpy as npimport matplotlib.pyplot as pltplt.rcParams['font.family'] = 'SimHei'plt.rcParams['axes.unicode_minus'] = Falsedim_num = 6data = np.array([[0.40,0.32,0.35,0.30,0.30,0.88],[0.85,0.35,0.30,0.40,0.40,0.30],[0.43,0.59,0.30,0.28,0.22,0.30],[0.30,0.25,0.48,0.85,0.45,0.40],[0.20,0.38,0.87,0.45,0.32,0.28],[0.34,0.31,0.38,0.40,0.92,0.28]])angles = np.linspace(0,2*np.pi,dim_num,endpoint=False)angles = np.concatenate((angles,[angles[0]]))data = np.concatenate((data,[data[0]]))# 维度标签rrandar_labels = ['研究型(I)', '艺术型(A)', '社会型(S)', '企业型(E)', '传统型(C)', '现实型(R)']radar_labels= np.concatenate((rrandar_labels,[rrandar_labels[0]]))# 绘制雷达图plt.polar(angles,data)# 设置极坐标的标签plt.thetagrids(angles*180/np.pi,labels=radar_labels)# 填充多边形plt.fill(angles,data,alpha=0.25)plt.show()