给了源数据怎么用python雷达图

给定源数据想要制作Python的雷达图，通常你需要一个包含各个维度数据的DataFrame或列表结构。首先，我们需要安装一些绘图库，如`matplotlib`和`seaborn`。以下是一个基本步骤：

1. **准备数据**：数据应该是一个二维数组或Pandas DataFrame，其中每一行代表一个观测点，每一列代表一个特征。

import pandas as pd

# 示例数据
data = {
    '特征1': [1, 2, 3],
    '特征2': [4, 5, 6],
    '特征3': [7, 8, 9]
}
df = pd.DataFrame(data)

2. **安装依赖**:

pip install matplotlib seaborn

3. **绘制雷达图**：

from matplotlib import cm
import matplotlib.pyplot as plt
import numpy as np

plt.style.use('_mpl-gallery-nogrid')

def radar_factory(num_vars, frame='circle'):
    """Create a RadarAxes instance with `num_vars` axes."""
    # Create circle for polar plots
    theta = np.linspace(0, 2 * np.pi, num_vars, endpoint=False)

    def draw_circle(ax):
        ax.set_xlim(-1, 1)
        ax.set_xticks([])
        ax.set_ylim(-1, 1)
        ax.set_yticks([])
        ax.plot(theta, np.ones(num_vars), color="black", linewidth=1)
        ax.plot(theta, -np.ones(num_vars), color="black", linewidth=1)
        ax.fill(theta, 1, color="#EBF5FB", alpha=0.2)
        ax.fill(theta, -1, color="#EBF5FB", alpha=0.2)

    if frame == 'polygon':
        ax = plt.axes(projection='polar', facecolor="None")
        ax.set_thetagrids(theta * 180 / np.pi, labels=data.columns)
        draw_circle(ax)
    elif frame == 'circle':
        ax = plt.subplot(num_vars, 1, 1, projection='polar')
        ax.set_rgrids([0.2, 0.4, 0.6, 0.8], angle=theta * 180 / np.pi)
        ax.set_axisbelow(True)
        draw_circle(ax)
    else:
        raise ValueError("unknown value for `frame`: %s" % frame)

    return ax

ax = radar_factory(df.shape[1])
ax.set_title('雷达图示例')

# 将DataFrame的值映射到颜色
cmap = cm.get_cmap('viridis', 3)
colors = cmap(np.arange(len(df)))

for i, row in df.iterrows():
    angles = row.index.values
    values = row.values.flatten()
    angles += np.pi / 2  # put the first point at the top
    angles *= -1  # clockwise rotation
    ax.plot(angles, values, linewidth=1, linestyle='solid', c=colors[i])

plt.show()