Switched to new storage convention for swash output in sws_ola

swash/processing/bathy_nb.py

@@ -1,94 +1,3 @@
-import argparse
-import configparser
-import logging
-import pathlib
-import sys
-
-import numpy as np
-import pandas as pd
-
-try:
-    import matplotlib.pyplot as plt
-except ImportError:
-    plt = None
-
-
-parser = argparse.ArgumentParser(description="Pre-process bathymetry")
-parser.add_argument("-v", "--verbose", action="count", default=0)
-args = parser.parse_args()
-
-logging.basicConfig(level=max((10, 20 - 10 * args.verbose)))
-log = logging.getLogger("bathy")
-
-log.info("Starting bathymetry pre-processing")
-config = configparser.ConfigParser()
-config.read("config.ini")
-
-root = pathlib.Path(config.get("data", "root"))
-
-log.info(f"Reading input data from '{root}'")
-bathy_hires = np.loadtxt(root.joinpath(config.get("data", "hires")))
-bathy_lores = np.loadtxt(root.joinpath(config.get("data", "bathy")))
-hstru = np.loadtxt(root.joinpath(config.get("data", "hstru")))
-poro = np.loadtxt(root.joinpath(config.get("data", "poro")))
-psize = np.loadtxt(root.joinpath(config.get("data", "psize")))
-
-log.info("Generating grid")
-x_hires = -np.arange(0, 0.5 * bathy_hires.size, 0.5)[::-1]
-x_lores = -np.arange(0, 1 * bathy_lores.size, 1)[::-1]
-x_hstru = -np.arange(0, 0.5 * hstru.size, 0.5)[::-1]
-
-log.info("Generating output data")
-bathy_hires_pd = pd.Series(bathy_hires.copy(), index=x_hires)
-bathy_lores_pd = pd.Series(bathy_lores.copy(), index=x_lores)
-
-bathy = pd.DataFrame(
-    index=bathy_lores_pd.index.union(bathy_hires_pd.index),
-    columns=("z", "hstru", "poro", "psize"),
-    data=0,
-)
-bathy.z[bathy_lores_pd.index] = bathy_lores_pd
-bathy.z[bathy_hires_pd.index] = bathy_hires_pd
-bathy.z = np.minimum(bathy.z, -15)
-
-# bathy.loc[x_hstru, ("hstru", "poro", "psize")] = np.array(
-#    (hstru, poro, psize)
-# ).T
-
-bathy = bathy.reindex(bathy_lores_pd.index)
-log.debug(f"Bathymetry:\n{bathy}")
-log.info(
-    f"xmin: {bathy.index.min()}, "
-    f"xmax: {bathy.index.max()}, "
-    f"n: {bathy.index.size}"
-)
-
-if config.has_option("data", "out_nb"):
-    out = pathlib.Path(config.get("data", "out_nb"))
-    log.info(f"Writing output data to '{out}'")
-    out.mkdir(exist_ok=True)
-    np.savetxt(out.joinpath("bathy.dat"), bathy.z, newline=" ")
-    np.savetxt(out.joinpath("hstru.dat"), bathy.hstru, newline=" ")
-    np.savetxt(out.joinpath("poro.dat"), bathy.poro, newline=" ")
-    np.savetxt(out.joinpath("psize.dat"), bathy.psize, newline=" ")
-
-    bathy.to_hdf(out.joinpath("bathy.h5"), "bathy", mode="w")
-
-if config.getboolean("proc", "plot", fallback=False):
-    if plt is None:
-        log.error("Could not import PyPlot")
-        sys.exit(1)
-
-    log.info("Plotting data")
-
-    fig, ax = plt.subplots()
-    ax.plot(x_hires, bathy_hires, label="High-res")
-    ax.plot(x_lores, bathy_lores, label="Low-res")
-    ax.plot(bathy.index, bathy.z, ls="-.", c="k", label="Combined")
-    ax.plot(bathy.index, bathy.z + bathy.hstru, label="Hstru")
-
-    ax.grid()
-    ax.legend()
-    plt.show(block=True)
-
-log.info("Processing finished")
+version https://git-lfs.github.com/spec/v1
+oid sha256:8e3a75a559d7bf52e3e1703c5e45c8e473cd813aa99a95169bd9a500285f5a2d
+size 2923