import argparse import configparser import logging import pathlib import matplotlib.pyplot as plt import numpy as np import scipy.signal as sgl parser = argparse.ArgumentParser(description="Post-process swash output") parser.add_argument("-v", "--verbose", action="count", default=0) parser.add_argument("-c", "--config", default="config.ini") args = parser.parse_args() logging.basicConfig(level=max((10, 20 - 10 * args.verbose))) log = logging.getLogger("post") log.info("Starting post-processing") config = configparser.ConfigParser() config.read(args.config) inp = pathlib.Path(config.get("post", "inp")) root = pathlib.Path(config.get("swash", "out")) log.info(f"Reading data from '{inp}'") x = np.load(inp.joinpath("x.npy")) t = np.load(inp.joinpath("t.npy")) botl = np.load(inp.joinpath("botl.npy")) watl = np.load(inp.joinpath("watl.npy")) vel = np.load(inp.joinpath("vel.npy"))[0] t0 = np.linspace(23 * 60 + 8, 23 * 60 + 8 + 100, 6) # Plotting log.info("Plotting results") vlim = np.nanmin(np.maximum(watl, -botl)), np.nanmax(np.maximum(watl, -botl)) fig_x, ax = plt.subplots( 3, 2, figsize=(15 / 2.54, 2 / 3 * 10 / 2.54), constrained_layout=True ) i0 = np.argmin(np.abs(t * 1e-3 - t0[0])) for ax_x, t0_x in zip(ax.reshape(-1), t0): ax_x.plot(x, -botl, color="k") i = np.argmin(np.abs(t * 1e-3 - t0_x)) ax_x.plot( x, np.maximum(watl[i, :], -botl), color="#0066ff", ) ax_x.axvline(-1450 + 1450 * ((t[i] - t[i0]) * 1e-3+5) / 100, color="k", alpha=0.2, lw=10) ax_x.grid(color="k", alpha=0.2) ax_x.set(ylabel="z (m)", ylim=vlim) ax_x.text( 0.95, 0.95, f"$T+{(t[i]-t[i0])*1e-3:.1f}s$", horizontalalignment="right", verticalalignment="top", transform=ax_x.transAxes, ) ax_x.autoscale(axis="x", tight=True) out = pathlib.Path(config.get("post", "out")).joinpath(f"trans") log.info(f"Saving plots in '{out}'") out.mkdir(parents=True, exist_ok=True) fig_x.savefig(out.joinpath("x.pdf")) fig_x.savefig(out.joinpath("x.jpg"), dpi=200) log.info("Finished post-processing")