y1 = x1 x2 = np.linspace(0, 20, 50) y2 = np.sin(x2) line1, line2 = plt.plot(x1, y1, x2, y2) # use keyword args plt.setp(line1, **pro1) plt.setp(line2, **pro2) plt.show() 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. ...
y = np.linspace(0, 10, 10) X, Y =np.meshgrid(x, y) Z = np.sin(X) * np.cos(Y) spline = RectBivariateSpline(x, y, Z) # Generate a finer grid for smooth plotting x_fine = np.linspace(0, 10, 100) y_fine = np.linspace(0, 10, 100) X_fine, Y_fine = np.meshgrid(x...
r = np.linspace(0, 1, 100) theta = np.linspace(0, 2*np.pi, 100) r, theta = np.meshgrid(r, theta) x = r * np.cos(theta) y = r * np.sin(theta) z = r + 0.5 * x # Adding x component to make it oblique surf = ax.plot_surface(x, y, z, cmap='viridis', linewidth...
Python import matplotlib.pyplot as plt import numpy as np mean = 15, 45 sd = 5, 7 x = np.linspace(0, 59, 60) # Represents each minute within the hour first_distribution = np.exp(-0.5 * ((x - mean[0]) / sd[0]) ** 2) second_distribution = 0.9 * np.exp(-0.5 * ((x...
First, we import the NumPy library, which is a powerful library for working with numerical data in Python. We then use NumPy's linspace function to create an array of 100 evenly spaced values between 0 and 10. We use the sin function to generate the corresponding y-values for a sine ...
use plotpy::{linspace, Curve, Plot, StrError}; fn main() -> Result<(), StrError> { // generate (x,y) points let x = linspace(-1.0, 1.0, 21); let y: Vec<_> = x.iter().map(|v| 1.0 / (1.0 + f64::exp(-5.0 * *v))).collect(); // configure curve let mut curve =...
import numpy t = numpy.linspace(0,1,100) u = sol(t) plt.plot(t,u) plt.show()Solve commandsThe common interface arguments can be used to control the solve command. For example, let's use saveat to save the solution at every t=0.1, and let's utilize the Vern9() 9th order ...
python numpy.linspace(start, stop, num=50, endpoint=True, retstep=False, dtype=None, axis=0) Let’s go through each parameter in detail: start: Type: float or array-like Description: The starting value of the sequence. Example: If start=0, the sequence begins at 0. ...
np.linspace(y_min, y_max, 30)) s = tf.Session() Z = s.run(tf_nb.predict(np.c_[xx.ravel(), yy.ravel()])) # Extract probabilities of class 2 and 3 Z1 = Z[:, 1].reshape(xx.shape) Z2 = Z[:, 2].reshape(xx.shape) # Plot fig = plt.figure(figsize=(5, ...
Furthermore, by utilizing the Viktor SDK, we can seamlessly transform our Python implementation into a web application. This SDK offers the capability to visualize our structure in a 3D view. Let’s dive right in and take action! Basic Principle for the Design of Baseplate ...