Server side scripts & all

swash/processing/wavelet.py

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+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")) * 1e-3
+
+botl = np.load(inp.joinpath("botl.npy"))
+watl = np.load(inp.joinpath("watl.npy"))
+vel = np.load(inp.joinpath("vel.npy"))[0]
+
+# Plotting
+log.info("Plotting results")
+
+vlim = np.nanmin(np.maximum(watl, -botl)), np.nanmax(np.maximum(watl, -botl))
+
+x0 = np.linspace(-600, -200, 5)
+i0 = np.argmin(np.abs(x[:, None] - x0), axis=0)
+
+fig_x, ax = plt.subplots(
+    5, 1, figsize=(15 / 2.54, 15/ 2.54), constrained_layout=True
+)
+dt = np.mean(np.diff(t))
+N = t.size
+s0 = 2 * dt
+dj = 0.5
+J = 1 / dj * np.log2(N * dt / s0)
+j = np.arange(0, J)
+sj = s0 * 2 ** (j * dj)
+Mw = sj / dt
+sig = np.var(watl[:, i0])
+M = np.stack([(np.abs(sgl.cwt(watl[:, i], sgl.morlet2, Mw))/sig)**2 for i in i0])
+v = np.max(M)
+
+for ax_x, M_, x_ in zip(ax.reshape(-1), M, x[i0]):
+    c = ax_x.contourf(t, sj, M_, cmap="Greys", vmin=0, levels=[1, 2.5, 5, 10, 20, 40], extend="both")
+    fig_x.colorbar(c, ax=ax_x, label="NWPS")
+    ax_x.grid(color="k", alpha=0.2)
+    ax_x.text(
+        0.95,
+        0.95,
+        f"x={x_:.0f}m",
+        horizontalalignment="right",
+        verticalalignment="top",
+        transform=ax_x.transAxes,
+        #c="w",
+    )
+    ax_x.semilogy()
+    ax_x.autoscale(True, "both", True)
+    ax_x.set_rasterization_zorder(1.5)
+    ax_x.set(ylabel="T (s)", ylim=(sj[0], sj[-1]))
+
+    if ax_x != ax.reshape(-1)[-1]:
+        ax_x.axes.set_xticklabels([])
+    else:
+        ax_x.set(xlabel="t (s)")
+
+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("wavelet.pdf"), dpi=300)
+fig_x.savefig(out.joinpath("wavelet.jpg"), dpi=200)
+fig_x.savefig(out.joinpath("wavelet.png"), dpi=200)
+
+log.info("Finished post-processing")