mirror of
https://github.com/Findus23/halo_comparison.git
synced 2024-09-13 09:03:49 +02:00
62 lines
1.8 KiB
Python
62 lines
1.8 KiB
Python
import sys
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from pathlib import Path
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import pandas as pd
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import pyvista
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import vtk
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from pandas import DataFrame
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from pyvista import Plotter
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from paths import base_dir
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from readfiles import read_file, read_halo_file
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pyvista.set_plot_theme("dark") # "paraview"
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def plotdf3d(pl: Plotter, df: DataFrame, color="white"):
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data = df_to_coords(df)
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pdata = pyvista.PointSet(data[::, 0:3])
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# pdata.plot(point_size=1, scalars=data[::, -1], render_points_as_spheres=False, parallel_projection=True,
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# anti_aliasing=True, opacity=0.2)
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# pl.add_points(a) would be equivalent to pl.add_mesh(style="points")
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pl.add_mesh(
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pdata,
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point_size=1,
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style="points",
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opacity=0.1,
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color=color,
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# scalars=data[::, -1],
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)
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# pl.camera_position
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# pl.enable_stereo_render()
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# pl.ren_win.SetStereoTypeToSplitViewportHorizontal()
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# pl.show_grid()
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pl.enable_terrain_style()
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pl.enable_parallel_projection()
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pl.camera.zoom(2)
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renderer = pl.renderer
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basic_passes = vtk.vtkRenderStepsPass()
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blur_pass = vtk.vtkGaussianBlurPass()
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blur_pass.SetDelegatePass(basic_passes)
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glrenderer = vtk.vtkOpenGLRenderer.SafeDownCast(renderer)
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glrenderer.SetPass(blur_pass)
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def df_to_coords(df: pd.DataFrame):
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return df[["X", "Y", "Z"]].to_numpy()
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if __name__ == "__main__":
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# HALO = 1
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# reference_dir = base_dir / "shannon_512_100"
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# df, _ = read_file(reference_dir / "output_0004.hdf5")
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# df_halo = read_halo_file(reference_dir / "fof_output_0004.hdf5").loc[HALO]
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# df = df.loc[df["FOFGroupIDs"] == HALO]
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# df.to_csv("halo.csv")
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input_file = Path(sys.argv[1])
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df, _ = read_file(input_file)
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pl = Plotter()
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plotdf3d(pl, df)
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# pl.set_focus((df_halo.X,df_halo.Y,df_halo.Z))
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pl.show()
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