在两个圆圈之间获取一些样本

发布于 2025-01-25 08:26:25 字数 867 浏览 2 评论 0原文

我想在两个圆圈之间获得200个样本，仅限于半径4和9，而在两个圆之间，

我尝试使用sklearn.datasets.make_circles的两个圆圈中的其他200个样本，但我不知道如何完全限制它们之间的这些样本radii

from sklearn.datasets import make_circles

n_samples = (200,200)
noise = (0.2,0.2)
features, labels = make_circles(n_samples=n_samples, noise=noise, factor = 0.000001)

#center of circles = (1.5,0)
for i in range(len(features)):
    features[i][0]+= 1.5
    
df = pd.DataFrame(dict(x=features[:,0], y=features[:,1], label=labels))
grouped = df.groupby('label')
colors = {0:'red', 1:'blue'}

fig, ax = plt.subplots(figsize=(5, 5))

for key, group in grouped:
    group.plot(ax=ax, kind='scatter', x='x', y='y', marker='.', label=key, color=colors[key])

原文

I want to get 200 samples between two circles limited to radii 4 and 9, and another 200 samples between two circles limited to radii 0 and 6

I tried with sklearn.datasets.make_circles but I do'nt know how to exactly limited them between those radii

from sklearn.datasets import make_circles

n_samples = (200,200)
noise = (0.2,0.2)
features, labels = make_circles(n_samples=n_samples, noise=noise, factor = 0.000001)

#center of circles = (1.5,0)
for i in range(len(features)):
    features[i][0]+= 1.5
    
df = pd.DataFrame(dict(x=features[:,0], y=features[:,1], label=labels))
grouped = df.groupby('label')
colors = {0:'red', 1:'blue'}

fig, ax = plt.subplots(figsize=(5, 5))

for key, group in grouped:
    group.plot(ax=ax, kind='scatter', x='x', y='y', marker='.', label=key, color=colors[key])

分享到QQ

分享到微博

如果你对这篇内容有疑问，欢迎到本站社区发帖提问参与讨论，获取更多帮助，或者扫码二维码加入 Web 技术交流群。

发布评论

需要登录才能够评论，你可以免费注册一个本站的账号。

被你宠の有点坏 2025-02-01 08:26:26

SET 因子 make_circles的参数与圆的半径比率，并按外圆的半径扩展点。

from sklearn.datasets import make_circles

n_samples = (200,200)
noise = (0.2,0.2)
factor = 4/9
features, labels = make_circles(n_samples=n_samples, noise=noise, factor=factor)

#center of circles = (1.5,0)
for i in range(len(features)):
    features[i][0] += 1.5 + 8*features[i][0]
    features[i][1] += 8*features[i][1]
    
df = pd.DataFrame(dict(x=features[:,0], y=features[:,1], label=labels))
grouped = df.groupby('label')
colors = {0:'red', 1:'blue'}

fig, ax = plt.subplots(figsize=(5, 5))

for key, group in grouped:
    group.plot(ax=ax, kind='scatter', x='x', y='y', marker='.', label=key, color=colors[key])

Set factor parameter of make_circles to the ratio of radii of the circles and scale the points by the radii of the outer circle.

from sklearn.datasets import make_circles

n_samples = (200,200)
noise = (0.2,0.2)
factor = 4/9
features, labels = make_circles(n_samples=n_samples, noise=noise, factor=factor)

#center of circles = (1.5,0)
for i in range(len(features)):
    features[i][0] += 1.5 + 8*features[i][0]
    features[i][1] += 8*features[i][1]
    
df = pd.DataFrame(dict(x=features[:,0], y=features[:,1], label=labels))
grouped = df.groupby('label')
colors = {0:'red', 1:'blue'}

fig, ax = plt.subplots(figsize=(5, 5))

for key, group in grouped:
    group.plot(ax=ax, kind='scatter', x='x', y='y', marker='.', label=key, color=colors[key])

回复收藏 0 原文

~没有更多了~