60 lines
1.5 KiB
Python
60 lines
1.5 KiB
Python
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import argparse
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import gzip
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from itertools import starmap
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import logging
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from multiprocessing import pool
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import pathlib
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import pickle
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from cycler import cycler
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import matplotlib.pyplot as plt
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import matplotlib.gridspec as gridspec
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import numpy as np
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from scipy import interpolate
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from .olaflow import OFModel
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parser = argparse.ArgumentParser(description="Post-process olaflow results")
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parser.add_argument("-v", "--verbose", action="count", default=0)
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parser.add_argument(
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"-o",
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"--output",
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action="append",
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type=pathlib.Path,
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help="Post-processing directory",
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required=True,
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)
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args = parser.parse_args()
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logging.basicConfig(level=max((10, 20 - 10 * args.verbose)))
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log = logging.getLogger("ola_post")
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log.info("Plotting comparison of model output")
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def get_pickle(out):
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with (
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path.open("rb")
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if (path := out.joinpath("pickle")).exists()
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else gzip.open(path.with_suffix(".gz"), "rb")
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) as f:
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return pickle.load(f)
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models = list(map(get_pickle, args.output))
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fig, ax = plt.subplots(len(models), constrained_layout=True)
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for i, (_ax, _model) in enumerate(zip(ax, models)):
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_ax.contour(
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_model.t,
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_model.post_fields["graphUniform"]["x_alpha.water"],
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_model.post_fields["graphUniform"]["alpha.water"].T,
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(0.5,),
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colors="k",
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)
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_ax.set(xlabel="t (s)", ylabel="z (m)", title=f"Case {i}")
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_ax.grid()
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fig.savefig(args.output[0].joinpath(f"diff_{'_'.join([o.name for o in args.output])}.pdf"))
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