英文:
Draw lines from x axis and y axis to points
问题
我想要从点到x和y轴画一条线：
这是我使用的代码：
from sklearn.decomposition import PCApca = PCA()principalComponents = pca.fit_transform(x)plt.figure()plt.plot(np.cumsum(pca.explained_variance_ratio_))plt.xlabel('组件数量')plt.ylabel('方差（%）') #每个组件的方差plt.title('解释方差')plt.show()pca = PCA(n_components=0.8)new_data = pca.fit_transform(x)pca.explained_variance_ratio_variance = np.cumsum(np.round(pca.explained_variance_ratio_, decimals=3))varianceprint(abs(pca.components_))
这是结果：
英文:
I want to draw the line from the point to the x and y axis:
Here is the code I used:
from sklearn.decomposition import PCApca = PCA()principalComponents = pca.fit_transform(x)plt.figure()plt.plot(np.cumsum(pca.explained_variance_ratio_))plt.xlabel('Number of Components')plt.ylabel('Variance (%)') #for each componentplt.title('Explained Variance')plt.show()pca = PCA(n_components=0.8)new_data = pca.fit_transform(x)pca.explained_variance_ratio_variance = np.cumsum(np.round(pca.explained_variance_ratio_, decimals=3))varianceprint(abs( pca.components_ ))
Here is the result:
答案1
得分: 1
这是我在谈论的示例。请注意，我从图表的点开始，然后通过添加额外的线来进行“后处理”。
import matplotlib.pyplot as pltpoints = [(0,0), (2,1), (4,3), (6,4)]xx =for p in points]
yy =
for p in points]
plt.xlabel('Number of Components')
plt.ylabel('Variance (%)')
plt.title('Explained Variance')
plt.plot(xx,yy)
for c,(x,y) in enumerate(points):
xx = [0, x, x]
yy = [y, y, 0]
plt.plot(xx,yy)
plt.show()
"为什么"你可能会问，"你为什么使用enumerate来获取一个你不使用的变量?"因为我认为我会需要用它来索引到一个颜色数组。在这里，我只是依赖于matplotlib的默认值来添加额外的线。
输出:
英文:
Here's an example of what I'm talking about. Note that I start with the points of the graph, then I "post process" that by adding the additional lines.
import matplotlib.pyplot as pltpoints = [(0,0), (2,1), (4,3), (6,4)]xx =for p in points]
yy =
for p in points]
plt.xlabel('Number of Components')
plt.ylabel('Variance (%)')
plt.title('Explained Variance')
plt.plot(xx,yy)
for c,(x,y) in enumerate(points):
xx = [0, x, x]
yy = [y, y, 0]
plt.plot(xx,yy)
plt.show()
"Why", you may ask, "did you use enumerate to get a variable you don't use?" Because I thought I would need that to index into an array of colors. Here, I'm just relying on the matplotlib defaults for additional lines.
Output:
答案2
得分: 0
- 在相对坐标轴单位
(xa, ya)中找到点(x, y)的值。 - 从点
(x, y)到坐标轴边界(xa, 0)和(0, ya)绘制标注线。
请注意，它们在缩放时不会正确更新... 这也是可能的，但需要更多的工作。
英文:
You could draw the lines using annotations.
- find the values of the point
(x, y)in relative axis-units(xa, ya) - draw annotation lines from the point
(x, y) to the axis-boundaries(xa, 0)and(0, ya)
(note that they will NOT correctly update on zoom... this is also possible but requires a bit more work)
import matplotlib.pyplot as pltimport numpy as nppoints = np.array([(0,0), (1,1), (2, 4)])f, ax = plt.subplots()ax.plot(*points.T)def add_lines(points):f.canvas.draw() # trigger a draw to make sure transformations are correctfor x, y in points:# transform coordinates into relative axis-units (e.g. 0-1)xa, ya = ax.transAxes.inverted().transform(ax.transData.transform((x, y)))# add annotation-lines from the point to the x-axisax.annotate(xy=(x, y), xycoords="data",xytext=(xa,0), textcoords="axes fraction",text="",arrowprops=dict(arrowstyle="-", shrinkA=0, shrinkB=0, color="r"),)# add annotation-lines from the point to the y-axisax.annotate(xy=(x, y), xycoords="data",xytext=(0,ya), textcoords="axes fraction",text="",arrowprops=dict(arrowstyle="-", shrinkA=0, shrinkB=0, color="g"))add_lines(points)
通过集体智慧和协作来改善编程学习和解决问题的方式。致力于成为全球开发者共同参与的知识库，让每个人都能够通过互相帮助和分享经验来进步。
评论