5 分で Python で樹状図とレーダー チャートを描画する方法を学びます

pip install matplotlib

import matplotlib.pyplot as plt

# 创建数据
data = {'A': ['B', 'C'],
        'B': ['D', 'E'],
        'C': ['F', 'G']}

# 递归函数，遍历数据字典，并绘制树状图
def plot_tree(data, parent=None, depth=0):
    for node in data.get(parent, []):
        plt.plot([parent, node], [depth, depth + 1], 'bo-')  # 绘制节点连接线
        plot_tree(data, node, depth + 1)  # 递归调用，遍历子节点

# 绘制树状图
plot_tree(data)
plt.show()

pip install mpl_toolkits

import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import numpy as np

# 创建数据
labels = ['A', 'B', 'C', 'D', 'E']
values = np.random.randint(1, 10, len(labels))

# 绘制雷达图
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
ax.plot(np.cos(np.linspace(0, 2*np.pi, len(labels)+1))[:-1],
        np.sin(np.linspace(0, 2*np.pi, len(labels)+1))[:-1],
        np.zeros(len(labels)), 'k-')  # 绘制雷达图主轴
ax.fill_between(np.cos(np.linspace(0, 2*np.pi, len(labels)+1))[:-1],
                np.sin(np.linspace(0, 2*np.pi, len(labels)+1))[:-1],
                np.zeros(len(labels)), alpha=0.25)  # 绘制雷达图背景

ax.plot(np.cos(np.linspace(0, 2*np.pi, len(labels)+1))[:-1],
        np.sin(np.linspace(0, 2*np.pi, len(labels)+1))[:-1],
        values, 'bo-')  # 绘制雷达图数据点

# 设置坐标轴标签
ax.set_xticks(np.cos(np.linspace(0, 2*np.pi, len(labels)+1))[:-1])
ax.set_yticks(np.sin(np.linspace(0, 2*np.pi, len(labels)+1))[:-1])
ax.set_xticklabels(labels)
ax.set_yticklabels([])

plt.show()