python雷达图radar()

各坐标不同最大值/最小值

法一：（推荐）

#!/usr/local/bin/python3
# @IDE: PyCharm
# @.py: radar_p
#-*- coding : utf-8
# @Author:may
# @Time: 2024/5/20
# pip3 install pyecharts
import pyecharts.options as op
from pyecharts.charts import Radar# 传入多维数据,数据点最多6个
v1 = [[8.5, 75, 90, 70, 90]]
v2 = [[8.7, 72, 95, 75, 95]]
v3 = [[8.0, 95, 70, 85, 80]]
v4 = [[8.5, 90, 75, 85, 75]]
v5 = [[8.5, 85, 80, 80, 85]]
v6 = [[7.5, 90, 82, 85, 88]]# 调整雷达各维度的范围大小,维度要求四维以上
x_schema = [{"name": "舒适性", "max": 9, "min": 8, "color": 'black', "font_size": 18},{"name": "油耗", "max": 100, "min": 65, "color": 'black', "font_size": 18},{"name": "性能", "max": 100, "min": 65, "color": 'black', "font_size": 18},{"name": "安全", "max": 100, "min": 65, "color": 'black', "font_size": 18},{"name": "操控", "max": 100, "min": 65, "color": 'black', "font_size": 18}]# 画图
radar_x = Radar()
radar_x.add_schema(x_schema)
radar_x.add('帕萨特', v1, color='red').set_colors(['red'])
radar_x.add('迈腾', v2, color='green').set_colors(['green'])
radar_x.add('凯美瑞', v3, color='orange').set_colors(['orange'])
radar_x.add('亚洲龙', v4, color='blue').set_colors(['blue'])
radar_x.add('天籁', v5, color='purple').set_colors(['purple'])
radar_x.add('雅阁', v6, color='yellow').set_colors(['yellow'])radar_x.set_global_opts(title_opts=op.TitleOpts(title="car_type", pos_right="center"),legend_opts=op.LegendOpts(legend_icon="roundRect", align="left", pos_left='7%',pos_bottom='14%', orient='vertical'))radar_x.render("car_type.html")

法二：

#!/usr/local/bin/python3
# @IDE: PyCharm
# @.py: test
# -*- coding : utf-8
# @Author:may
# @Time: 2024/5/18
import numpy as np
import matplotlib# matplotlib.use('TkAgg')  OS报错macOS 12 (1207) or later required, have instead 12 (1206) !
matplotlib.use('Qt5Agg')
import matplotlib.pyplot as pltclass Radar(object):def __init__(self, figure, title, labels, epoch, rect=None):if rect is None:rect = [0.05, 0.05, 0.9, 0.9]self.n = len(title)self.angles = np.arange(0, 360, 360.0 / self.n)self.axes = [figure.add_axes(rect, projection='polar', label='axes%d' % i) for i in range(self.n)]self.ax = self.axes[0]self.ax.set_thetagrids(self.angles, labels=title, fontsize=14)for ax in self.axes[1:]:ax.patch.set_visible(False)ax.grid(False)ax.xaxis.set_visible(False)for ax, angle, label, i in zip(self.axes, self.angles, labels, epoch):ax.set_rgrids(i[1:], angle=angle, labels=label)  # 这里的range(1,6)应该是对应标签的个数ax.spines['polar'].set_visible(False)ax.set_ylim(i[0], i[7])  # 这里应该是对应轴的刻度def plot(self, values, *args, **kw):angle = np.deg2rad(np.r_[self.angles, self.angles[0]])limits = []# 把value的值进行一个换算limits.append(values[1] - 5)limits.append(values[2] - 50)limits.append((values[3] - 45) / 5)limits.append((values[4] + 15) / 10)values[1] = (limits[0]) * 0.5 + 4.5values[2] = (limits[1]) * 0.5 + 4.5values[3] = (limits[2]) * 0.5 + 4.5values[4] = (limits[3]) * 0.5 + 4.5values = np.r_[values, values[0]]self.ax.plot(angle, values, *args, **kw)if __name__ == '__main__':fig = plt.figure(figsize=(8, 8))# tit = list(('人均GDP/万元','年均GDP增速','第三产业占比','城镇化率','碳排放强度下降幅度'))tit = ["峰值速率（Gbit/s）", "移动性（km/h）", "流量密度（10Tbit/(s.km)）", "端到端时延(ms)", "连接数密度（设备/km）"]lab = [list(('4.5', '5.0', '5.5', '6.0', '6.5', '7.0', '7.5')),list(('5', '6', '7', '8', '9', '10', '11')),list(('50', '51', '52', '53', '54', '55', '56')),list(('45', '50', '55', '60', '65', '70', '75')),list(('-15', '-5', '5', '15', '25', '35', '45')),]epo = [[4.0, 4.5, 5.0, 5.5, 6.0, 6.5, 7.0, 7.5],[4, 5, 6, 7, 8, 9, 10, 11],[49, 50, 51, 52, 53, 54, 55, 56],[40, 45, 50, 55, 60, 65, 70, 75],[-25, -15, -5, 5, 15, 25, 35, 45]]# plt.rcParams['font.sans-serif'] = ['SimHei.ttf']plt.rcParams['font.sans-serif'] = ['Songti SC']  # 用来正常显示中文标签（macO系统)）radar = Radar(fig, tit, lab, epo)# radar.plot([4.5,5,50,45,-15],'-', lw=2, color='r', alpha=0.4, label='全国平均')   #范例# 绘制图3radar.plot([4.58, 7.52, 51.20, 49.67, 19.72], '-', lw=2, color='r', alpha=0.4, label='A')radar.plot([7.03, 7.60, 54.27, 60.60, 13.34], '-', lw=2, color='b', alpha=0.4, label='B')radar.ax.legend()plt.savefig('fig-3.png', dpi=300)plt.show()

各坐标相同大小

import pygalradar_chart = pygal.Radar()
radar_chart.title = 'V8 benchmark results'
radar_chart.x_labels = ['Richards', 'DeltaBlue', 'Crypto', 'RayTrace', 'EarleyBoyer', 'RegExp', 'Splay', 'NavierStokes']
radar_chart.add('Chrome', [6395, 8212, 7520, 7218, 12464, 1660, 2123, 8607])
radar_chart.add('Firefox', [7473, 8099, 11700, 2651, 6361, 1044, 3797, 9450])
radar_chart.add('Opera', [3472, 2933, 4203, 5229, 5810, 1828, 9013, 4669])
radar_chart.add('IE', [43, 41, 59, 79, 144, 136, 34, 102])
radar_chart.render_to_file('bar_chart.svg')