Exporting Plots as Image Files¶
render() method allows users to directly plot the curves and surfaces using predefined visualization classes.
This method takes some keyword arguments to control plot properties at runtime. Please see the class documentation on
description of these keywords. The
render() method also allows users to save the plots directly as a file and
to control the plot window visibility. The keyword arguments that control these features are
The following example script illustrates creating a 3-dimensional Bézier curve and saving the plot as
bezier-curve3d.pdf without popping up the Matplotlib plot window.
filename argument is a string value defining
the name of the file to be saved and
plot flag controls the visibility of the plot window.
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from geomdl import BSpline from geomdl import utilities from geomdl.visualization import VisMPL # Create a 3D B-Spline curve instance (Bezier Curve) curve = BSpline.Curve() # Set up the Bezier curve curve.degree = 3 curve.ctrlpts = [[10, 5, 10], [10, 20, -30], [40, 10, 25], [-10, 5, 0]] # Auto-generate knot vector curve.knotvector = utilities.generate_knot_vector(curve.degree, len(curve.ctrlpts)) # Set sample size curve.sample_size = 40 # Evaluate curve curve.evaluate() # Plot the control point polygon and the evaluated curve vis_comp = VisMPL.VisCurve3D() curve.vis = vis_comp # Don't pop up the plot window, instead save it as a PDF file curve.render(filename="bezier-curve3d.pdf", plot=False)
This functionality strongly depends on the plotting library used. Please see the documentation of the plotting library that you are using for more details on its figure exporting capabilities.