4 + # This file collects together some of the more interesting plots that can 5 + # be generated by python-control and puts them into a PDF file that can be 6 + # used to compare what things look like between d
When you plot the numbers on a complex plane, you’ll get a rough depiction of the Bermuda Triangle: In the companion materials, you’ll find an interactive Jupyter Notebook that plots the Bermuda Triangle using the Matplotlib library. To download the source code and materials for this tutoria...
The box plots show the distribution of absolute errors. Boxes show IQRs from the 25th to 75th percentiles with medians by thin orange lines. Whiskers extend to 1.5 × IQR. Outliers are represented by black circles. Left: fitting errors, right: generalization errors estimated with cross val...
For instance, the current file returns approximations to cosine, sine, and a step function, of which we reproduce the first and third plots below. As the quality of the approximation is quite high, causing the three intended plots to superpose, we include a logarithmic plot of the pairwise ...
浏览完整代码 来源:plots.py 项目:davidreber/Labs示例17def color_cycle_example(ax): L = 6 x = np.linspace(0, L) ncolors = len(plt.rcParams['axes.prop_cycle']) shift = np.linspace(0, L, ncolors, endpoint=False) for s in shift: ax.plot(x, np.sin(x + s), 'o-')...
def _plot_gaussian(mean, covariance, color, zorder=0): """Plots the mean and 2-std ellipse of a given Gaussian""" plt.plot(mean[0], mean[1], color[0] + ".", zorder=zorder) if covariance.ndim == 1: covariance = np.diag(covariance) radius = np.sqrt(5.991) eigvals, eigvecs ...
2. The diagonal elements display the distribution of each variable, while the off-diagonal elements show scatter plots for each pair of variables, offering insights into their potential linear or non-linear relationships. This plot is important for detecting patterns, trends, and possible outliers ...
Finally, Lines 32–36 create the output plots and perform one of the verification tests. Microstructures in 3D use the same classes and methods as in 2D. 3. Illustrative example A polycrystalline material with a venous intrusion is included to demonstrate the capabilities of MicroStructPy. The ...
Metric agreement between the fully-automated ITSA and the previously-validated semi-automated method are illustrated in the Bland–Altman plots in Fig. 8. For IMF volume and %IMF, the fully-automated method was more conservative in segmenting IMF, especially for cases where IMF distribution was hi...
Stream plots show streamlines of a vector field F~. That is, at each location, F~(~x) is tangential to the local streamline. For example, for an electric field E~, streamlines are electric field lines. Matplotlib’s streamplot function (https://matplotlib.org/3.2.1/api/_as_gen/matplot...