Curtain plots allow you to review 3D results along a long section or cross section. This notebook is used in combination with the TUFLOW FV Python Toolbox (tfv) package.

matplotlib.pyplot.plot # matplotlib.pyplot.plot(*args, scalex=True, scaley=True, data=None, **kwargs) [source] # Plot y versus x as lines and/or markers. Call signatures:

Sep 25, 2013 · I am trying to make 3-D “curtain” plots. Basically, x,y are N-vectors, z is an M-vector, and C is MxN data set collected on the path with z. Application is a ship’s track through the ocean. I also want to be able to contour a second variable C2 also MxN.

Overview of many common plotting commands provided by Matplotlib. See the gallery for more examples and the tutorials page for longer examples. Plots of pairwise (x, y), tabular (v a r _ 0, ⋯, v a r _ n), and functional f (x) = y data. Plots of the distribution of at least one variable in a dataset.

plt.plot(x[0],y[0],'r',x[1],y[1],'g',x[2],y[2],'b',x[3],y[3],'k') You could automate it by having a list of colours like ['r','g','b','k'] and then just calling both entries in this list and corresponding data to be plotted in a loop if you wanted to.

matplotlib.pyplot is a collection of functions that make matplotlib work like MATLAB. Each pyplot function makes some change to a figure: e.g., creates a figure, creates a plotting area in a figure, plots some lines in a plotting area, decorates the plot with labels, etc.

Tutorial 2. Introductory Matplotlib Plot Composition The TUFLOW FV Python Toolbox (tfv) contains many methods to simplify plotting TUFLOW FV unstructured results. This guide will provide a few simple examples for developing matplotlib figures. See also the gallery notebooks for further examples.

Summary: fig = plt.figure #Create a curtain, which can be seen as a big curtain Ax = fig.add_subplot (349) #divide the curtain into three rows and four columns, and select the ninth block as the drawing area, which can be regarded as a small curtain

Jan 16, 2025 · Matplotlib is a powerful and widely-used Python library for creating static, animated and interactive data visualizations. In this article, we will provide a guide on Matplotlib and how to use it for data visualization with practical implementation.

Oct 2, 2023 · plt.clf() clears the entire current figure with all its axes, but leaves the window opened, such that it may be reused for other plots. plt.close() closes a window, which will be the current window, if not specified otherwise. Which functions suits you best depends thus on …