以类似散点图的方式用seaborn/matplotlib表示5维数据

import seaborn as sns
import matplotlib.pyplot as plt

# 生成示例数据
x = [1, 2, 3, 4, 5]
y = [2, 4, 6, 8, 10]
size = [10, 20, 30, 40, 50]
color = [0.2, 0.4, 0.6, 0.8, 1.0]

# 绘制气泡图
sns.scatterplot(x=x, y=y, size=size, hue=color)
plt.show()

import matplotlib.pyplot as plt

# 生成示例数据
data = {
    'A': [1, 2, 3, 4, 5],
    'B': [2, 4, 6, 8, 10],
    'C': [3, 6, 9, 12, 15],
    'D': [4, 8, 12, 16, 20],
    'E': [5, 10, 15, 20, 25]
}

# 绘制平行坐标图
for i, (name, values) in enumerate(data.items()):
    plt.plot(range(len(values)), values, label=name)

plt.xticks(range(len(data)), data.keys())
plt.legend()
plt.show()