Diff between multiple olaflow results

olaflow/processing/diff.py

@@ -0,0 +1,59 @@
+import argparse
+import gzip
+from itertools import starmap
+import logging
+from multiprocessing import pool
+import pathlib
+import pickle
+
+from cycler import cycler
+import matplotlib.pyplot as plt
+import matplotlib.gridspec as gridspec
+import numpy as np
+from scipy import interpolate
+
+from .olaflow import OFModel
+
+parser = argparse.ArgumentParser(description="Post-process olaflow results")
+parser.add_argument("-v", "--verbose", action="count", default=0)
+parser.add_argument(
+    "-o",
+    "--output",
+    action="append",
+    type=pathlib.Path,
+    help="Post-processing directory",
+    required=True,
+)
+args = parser.parse_args()
+
+logging.basicConfig(level=max((10, 20 - 10 * args.verbose)))
+log = logging.getLogger("ola_post")
+
+log.info("Plotting comparison of model output")
+
+
+def get_pickle(out):
+    with (
+        path.open("rb")
+        if (path := out.joinpath("pickle")).exists()
+        else gzip.open(path.with_suffix(".gz"), "rb")
+    ) as f:
+        return pickle.load(f)
+
+
+models = list(map(get_pickle, args.output))
+
+fig, ax = plt.subplots(len(models), constrained_layout=True)
+for i, (_ax, _model) in enumerate(zip(ax, models)):
+    _ax.contour(
+        _model.t,
+        _model.post_fields["graphUniform"]["x_alpha.water"],
+        _model.post_fields["graphUniform"]["alpha.water"].T,
+        (0.5,),
+        colors="k",
+    )
+
+    _ax.set(xlabel="t (s)", ylabel="z (m)", title=f"Case {i}")
+    _ax.grid()
+
+fig.savefig(args.output[0].joinpath(f"diff_{'_'.join([o.name for o in args.output])}.pdf"))