title('Filling area between two curves') # Filling Area plt.figure(figsize=(8,4)) plt.fill_between(x, y, yy, alpha=0.6) plt.plot(x,y, linewidth=2.0, color='red') plt.plot(x,yy, linewidth=2.0, color='red') plt.title('Filling area between two curves') # Filling Area plt....
In this article, we are going to learn how to fill the area between two sin/cos/trigonometric curves in x-y plot using matplotlib in Python?
Here we see an example where we fill the area between two curves by using thefill_between()method. Source Code: # Import Libraryimport matplotlib.pyplot as plt import numpy as np# Define Datax = np.arange(0.01,20,0.1) y1 = 5.0 / np.exp(x) y2 = np.log(x)# Plotplt.plot(x, y1...
Area under the ROC curve Youden's J statistic (Youden's Index) Youden's Index threshold Matthews Correlation Coefficient (MCC) Matthews Correlation Coefficient threshold Equal Error Rate (EER) (EER values are reported as specified in [2]). ...
bz) * x area, error = quad(integrand, 0, self.quantity()) return (self.price() - self.tax) * self.quantity() - area def taxrev(self): "Compute tax revenue" return self.tax * self.quantity() def inverse_demand(self, x): "Compute inverse demand" return self.ad / self.bd - ...
The joint plot mainly consists of three separate plots in which, one of it was the middle figure that is used to see the relationship between x and y. So, this area will give the information about the joint distribution, while the remaining two areas will provide us with the marginal ...
每个MNIST 样本都是一个包含 784 像素(即28 x 28像素)的图像。 因此,我们的人工神经网络的输入层将具有 784 个节点。 输出层将有 10 个节点,因为有 10 类数字(0 到 9)。 我们可以自由选择其他参数的值,例如隐藏层中的节点数,要使用的训练样本数以及训练周期数。 与往常一样,实验可以帮助我们找到可提供可...
Two flat control curves are defined as 80% and 50% of relative storage in the reservoir respectively. The demand model applies 100% of demand when above both curves, 95% (winter) or 90% (summer) of demand when between the two curves and 80% (winter) or 75% (summer) of demand when...
In addition to deciding the right cut-off aligned with the business metric, the area under the curve of precision-recall curves from multiple models or algorithms can be used to compare their performance. It is particularly useful to compare models using PR curves rather than using individual pre...
(self, p): """ The function to estimate distance to the given point from this line. Arguments: p: The point to find distance to. Returns: The distance between given point and this line. """ utop = (p.x - self.a.x) * (self.b.x - self.a.x) + (p.y - self.a.y) * ...