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GeezerVison is showing github.com — fastplotlib/examples/line/line.py at streamplot · fastplotlib/fastplotlib Expand file tree/ Copy pathline.pyMore file actions 47 lines (34 loc) · 1.1 KB / Copy pathline.pyFile metadata and controls47 lines (34 loc) · 1.1 KB 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 """ Simple Line Plot ================ Example showing cosine, sine, sinc lines. """ # test_example = true # sphinx_gallery_pygfx_docs = 'screenshot' import fastplotlib as fpl import numpy as np figure = fpl.Figure(size=(700, 560)) xs = np.linspace(-10, 10, 100) # sine wave ys = np.sin(xs) sine_data = np.column_stack([xs, ys]) # cosine wave ys = np.cos(xs) + 5 cosine_data = np.column_stack([xs, ys]) # sinc function a = 0.5 ys = np.sinc(xs) * 3 + 8 sinc_data = np.column_stack([xs, ys]) sine = figure[0, 0].add_line(data=sine_data, thickness=5, colors="magenta") # you can also use colormaps for lines! cosine = figure[0, 0].add_line(data=cosine_data, thickness=12, cmap="autumn") # or a list of colors for each datapoint colors = ["r"] * 25 + ["purple"] * 25 + ["y"] * 25 + ["b"] * 25 sinc = figure[0, 0].add_line(data=sinc_data, thickness=5, colors=colors) figure[0, 0].axes.grids.xy.visible = True figure.show() # NOTE: fpl.loop.run() should not be used for interactive sessions # See the "JupyterLab and IPython" section in the user guide if __name__ == "__main__": print(__doc__) fpl.loop.run() |
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