.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "_gallery/misc/em_wave_animation.py" .. LINE NUMBERS ARE GIVEN BELOW. .. only:: html .. note:: :class: sphx-glr-download-link-note :ref:`Go to the end ` to download the full example code. .. rst-class:: sphx-glr-example-title .. _sphx_glr__gallery_misc_em_wave_animation.py: Electromagnetic Wave Animation ============================== Example showing animation of an electromagnetic wave. .. GENERATED FROM PYTHON SOURCE LINES 7-115 .. image-sg:: /_gallery/misc/images/sphx_glr_em_wave_animation_001.webp :alt: em wave animation :srcset: /_gallery/misc/images/sphx_glr_em_wave_animation_001.webp :class: sphx-glr-single-img .. rst-class:: sphx-glr-script-out .. code-block:: none /opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/pygfx/objects/_ruler.py:266: RuntimeWarning: divide by zero encountered in divide screen_full = (ndc_full[:, :2] / ndc_full[:, 3:4]) * half_canvas_size /opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/pygfx/objects/_ruler.py:266: RuntimeWarning: invalid value encountered in divide screen_full = (ndc_full[:, :2] / ndc_full[:, 3:4]) * half_canvas_size /opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/pygfx/objects/_ruler.py:278: RuntimeWarning: invalid value encountered in divide screen_sel = (ndc_sel[:, :2] / ndc_sel[:, 3:4]) * half_canvas_size /home/runner/work/fastplotlib/fastplotlib/fastplotlib/graphics/_features/_base.py:18: UserWarning: casting float64 array to float32 warn(f"casting {array.dtype} array to float32") (, , , ) | .. code-block:: Python # test_example = false import fastplotlib as fpl import numpy as np figure = fpl.Figure( cameras="3d", controller_types="orbit", size=(700, 560) ) start, stop = 0, 4 * np.pi # let's define the x, y and z axes for each with direction of wave propogation along the z-axis # electric field in the xz plane travelling along zs = np.linspace(start, stop, 200) e_ys = np.zeros(200) e_xs = np.sin(zs) electric = np.column_stack([e_xs, e_ys, zs]) # magnetic field in the yz plane zs = np.linspace(start, stop, 200) m_ys = np.sin(zs) m_xs = np.zeros(200) magnetic = np.column_stack([m_xs, m_ys, zs]) # add the lines figure[0, 0].add_line(electric, colors="blue", thickness=2, name="e") figure[0, 0].add_line(magnetic, colors="red", thickness=2, name="m") # draw vector line at every 10th position electric_vectors = [np.array([[0, 0, z], [x, 0, z]]) for (x, z) in zip(e_xs[::10], zs[::10])] magnetic_vectors = [np.array([[0, 0, z], [0, y, z]]) for (y, z) in zip(m_ys[::10], zs[::10])] # add as a line collection figure[0, 0].add_line_collection(electric_vectors, colors="blue", thickness=1.5, name="e-vec") figure[0, 0].add_line_collection(magnetic_vectors, colors="red", thickness=1.5, name="m-vec") # note that the z_offset in `add_line_collection` is not data-related # it is the z-offset for where to place the *graphic*, by default with Orthographic cameras (i.e. 2D views) # it will increment by 1 for each line in the collection, we want to disable this so set z_position=0 # just a pre-saved camera state state = { 'position': np.array([-8.0 , 6.0, -2.0]), 'rotation': np.array([0.09, 0.9 , 0.2, -0.5]), 'scale': np.array([1., 1., 1.]), 'reference_up': np.array([0., 1., 0.]), 'fov': 50.0, 'width': 12, 'height': 12, 'zoom': 1.35, 'maintain_aspect': True, 'depth_range': None } figure[0, 0].camera.set_state(state) # make all grids except xz plane invisible to remove clutter figure[0, 0].axes.grids.xz.visible = True figure.show() figure[0, 0].camera.zoom = 1.5 increment = np.pi * 4 / 100 # moves the wave one step along the z-axis def tick(subplot): global increment, start, stop, zs new_zs = np.linspace(start, stop, 200) new_data = np.sin(new_zs) # just change the x-axis vals for the electric field subplot["e"].data[:, 0] = new_data subplot["e"].data[:, 2] = new_zs # and y-axis vals for magnetic field subplot["m"].data[:, 1] = new_data subplot["m"].data[:, 2] = new_zs # update the vector lines for i, (value, z) in enumerate(zip(new_data[::10], new_zs[::10])): subplot["e-vec"].graphics[i].data = np.array([[0, 0, z], [value, 0, z]]) subplot["m-vec"].graphics[i].data = np.array([[0, 0, z], [0, value, z]]) # update axes and center scene subplot.axes.z.start_value = start subplot.axes.z.update(subplot.camera, subplot.viewport.logical_size) subplot.center_scene() start += increment stop += increment figure[0, 0].axes.x.visible = False figure[0, 0].axes.y.visible = False figure[0, 0].axes.auto_grid = False figure[0, 0].add_animations(tick) print(figure[0, 0]._fpl_graphics_scene.children) # NOTE: `if __name__ == "__main__"` is NOT how to use fastplotlib interactively # please see our docs for using fastplotlib interactively in ipython and jupyter if __name__ == "__main__": print(__doc__) fpl.run() .. rst-class:: sphx-glr-timing **Total running time of the script:** (0 minutes 22.443 seconds) .. _sphx_glr_download__gallery_misc_em_wave_animation.py: .. only:: html .. container:: sphx-glr-footer sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: em_wave_animation.ipynb ` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: em_wave_animation.py ` .. container:: sphx-glr-download sphx-glr-download-zip :download:`Download zipped: em_wave_animation.zip ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_