Note
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Line Stack#
Example showing how to plot a stack of lines
/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")
# test_example = true
import numpy as np
import fastplotlib as fpl
xs = np.linspace(0, np.pi * 10, 100)
# sine wave
ys = np.sin(xs)
data = np.column_stack([xs, ys])
multi_data = np.stack([data] * 10)
figure = fpl.Figure(size=(700, 560))
line_stack = figure[0, 0].add_line_stack(
multi_data, # shape: (10, 100, 2), i.e. [n_lines, n_points, xy]
cmap="jet", # applied along n_lines
thickness=5,
separation=1, # spacing between lines along the separation axis, default separation along "y" axis
)
figure.show(maintain_aspect=False)
# 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()
Total running time of the script: (0 minutes 0.798 seconds)