# 导入库
from sklearn.datasets import make_blobs

# Matplotlib用于绘制数据集blob
from matplotlib import pyplot as plt
from matplotlib import style

# 设置图形大小
plt.rcParams["figure.figsize"] = [7.50, 3.50]
plt.rcParams["figure.autolayout"] = True

# 使用sklearn.datasets.make_blobs创建Blob测试数据集

style.use("Solarize_Light2")

X, y = make_blobs(n_samples = 500, centers = 3,
      cluster_std = 1, n_features = 2)

plt.scatter(X[:, 0], X[:, 1], s = 20, color = 'red')
plt.xlabel("X-轴")
plt.ylabel("Y-轴")
plt.show()

# 导入工具库
from sklearn.datasets import make_moons

# Matplotlib 用于绘制书的图形
from matplotlib import pyplot as plt
from matplotlib import style

# 设置图形的大小
plt.rcParams["figure.figsize"] = [7.16, 3.50]
plt.rcParams["figure.autolayout"] = True

# 使用sklearn.datasets.make_moon创建圆月测试数据集
style.use("fivethirtyeight")
X, y = make_moons(n_samples = 1500, noise = 0.1)
plt.scatter(X[:, 0], X[:, 1], s = 15, color ='red')
plt.xlabel("X轴")
plt.ylabel("Y轴")
plt.show()

# 导入工具库
from sklearn.datasets import make_circles

# Matplotlib 用于绘制圆形图形
from matplotlib import pyplot as plt
from matplotlib import style

# 设置图形的大小
plt.rcParams["figure.figsize"] = [7.16, 3.50]
plt.rcParams["figure.autolayout"] = True

# 创建圆形测试数据集，使用sklearn.datasets.make_circles
style.use("ggplot")
X, y = make_circles(n_samples = 500, noise = 0.02)
plt.scatter(X[:, 0], X[:, 1], s = 20, color ='red')
plt.xlabel("X轴")
plt.ylabel("Y轴")
plt.show()