Complete Data

1# Generated by LayMesh Jupyter; edit the Notebook cell instead.2page=canvas(size=(190 mm,105 mm),background="#ffffff")3s=plot_style(font_family="DejaVu Sans",font_size=8 pt)4p=plot(size=(85 mm,90 mm),plot_area=box(offset=(16 mm, 15 mm), size=(58 mm, 52 mm)),style=s,5 x=axis(label="Observation",range=(0,4)),y=axis(label="Density",range=(0,0.8)))6a=p.hist(values=array(src="complete-data.assets/observations-ea3efc3a935c7f1b.json"),weights=array(src="complete-data.assets/weights-8015886fcb30d42d.json"),bins=[0,0.5,1,1.5,2,2.5,3,3.5,4],stat= density,fill="#dce6ee",border_color="#264b69",label="Weighted sample")7chart=page.add(p,offset=(4 mm,3 mm))8page.add(legend(layers=[a],background="none"),target=chart.plot_bottom_left,offset=(0 mm,21 mm))9colors=color_scale(vmin=-1,vmax=1,cmap="rdbu")10q=plot(size=(96 mm,90 mm),plot_area=box(offset=(16 mm, 15 mm), size=(58 mm, 52 mm)),style=s,11 x=axis(label="x",range=(-2,2)),y=axis(label="y",range=(-2,2)))12q.contourf(z=array(src="complete-data.assets/z-c08fbeeb158d700c.json"),x=array(src="complete-data.assets/x-f410ec07f4f84954.json"),y=array(src="complete-data.assets/y-fedd4f44d6e9ea24.json"),levels=[-1,-0.75,-0.5,-0.25,0,0.25,0.5,0.75],color_scale=colors)13chart2=page.add(q,offset=(90 mm,3 mm))14page.add(colorbar(scale=colors,orientation= vertical,length=52 mm,ticks=[-1,0,1],label="Value",style=s),target=chart2.plot_top_right,offset=(4 mm,0 mm))

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1"""Run from the repository root: PYTHONPATH=python python examples/plot/complete-data.py.2Python supplies observations and grids; all coordinates and decoration placement stay editable in .lay.3"""4from pathlib import Path5import numpy as np6from laymesh import render_source7 8HERE = Path(__file__).resolve().parent9rng = np.random.default_rng(42)10observations = rng.normal(2, 0.7, 400)11weights = np.ones_like(observations)12x = np.linspace(-2, 2, 41)13y = np.linspace(-2, 2, 31)14z = np.sin(x[None, :]) * np.cos(y[:, None])15# Missing samples remain transparent; no interpolation or imputation is requested.16z[5:8, 6:9] = np.nan17source = 'page=canvas(size=(190 mm,105 mm),background="#ffffff")\ns=plot_style(font_family="DejaVu Sans",font_size=8 pt)\np=plot(size=(85 mm,90 mm),plot_area=box(offset=(16 mm, 15 mm), size=(58 mm, 52 mm)),style=s,\n x=axis(label="Observation",range=(0,4)),y=axis(label="Density",range=(0,0.8)))\na=p.hist(values={{observations}},weights={{weights}},bins=[0,0.5,1,1.5,2,2.5,3,3.5,4],stat="density",fill="#dce6ee",border_color="#264b69",label="Weighted sample")\nchart=page.add(p,offset=(4 mm,3 mm))\npage.add(legend(layers=[a],background="none"),target=chart.plot_bottom_left,offset=(0 mm,21 mm))\ncolors=color_scale(vmin=-1,vmax=1,cmap="rdbu")\nq=plot(size=(96 mm,90 mm),plot_area=box(offset=(16 mm, 15 mm), size=(58 mm, 52 mm)),style=s,\n x=axis(label="x",range=(-2,2)),y=axis(label="y",range=(-2,2)))\nq.contourf(z={{z}},x={{x}},y={{y}},levels=[-1,-0.75,-0.5,-0.25,0,0.25,0.5,0.75],color_scale=colors)\nchart2=page.add(q,offset=(90 mm,3 mm))\npage.add(colorbar(scale=colors,orientation="vertical",length=52 mm,ticks=[-1,0,1],label="Value",style=s),target=chart2.plot_top_right,offset=(4 mm,0 mm))\n'18result = render_source(source, namespace=locals(), base_dir=HERE,19                       output=HERE / "complete-data.pdf", save_source="complete-data.lay")20print(result.saved_source)