mkdir in sws_npz

swash/processing/post.py

@@ -1,100 +0,0 @@
-import configparser
-import pathlib
-import argparse
-import logging
-
-import numpy as np
-import pandas as pd
-import matplotlib.pyplot as plt
-import scipy.signal as sgl
-
-from .read_swash import *
-
-
-parser = argparse.ArgumentParser(description="Post-process swash output")
-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("post")
-
-log.info("Starting post-processing")
-config = configparser.ConfigParser()
-config.read("config.ini")
-
-cache = pathlib.Path(config.get("data", "out"))
-root = pathlib.Path(config.get("swash", "out"))
-
-log.info(f"Reading bathymetry from '{cache}'")
-bathy = pd.read_hdf(cache.joinpath("bathy.h5"), "bathy")
-n = bathy.index.size
-
-log.info(f"Reading swash output from '{root}'")
-botl = read_nohead_scalar(root.joinpath("botl.dat"), n)
-dep = np.maximum(0, read_nohead_scalar(root.joinpath("dep.dat"), n))
-vel = read_nohead_vect(root.joinpath("vel.dat"), n)
-
-dt = config.getfloat("post", "dt")
-n_t = botl.shape[0]
-t = np.arange(0, n_t * dt, dt)
-
-# Cospectral calculations
-x0 = config.getint("post", "x0")
-t0 = config.getint("post", "t0")
-f = 1 / dt
-log.info(f"Computing reflection coefficient at x={x0}")
-
-eta = (dep - botl)[t > t0, x0]
-u = vel[t > t0, 0, x0]
-
-phi_eta = np.abs(sgl.csd(eta, eta, f))
-phi_u = np.abs(sgl.csd(u, u, f))
-phi_eta_u = np.abs(sgl.csd(eta, u, f))
-
-R = np.sqrt(
-    (phi_eta[1] + phi_u[1] - 2 * phi_eta_u[1])
-    / (phi_eta[1] + phi_u[1] + 2 * phi_eta_u[1])
-)
-
-# Plotting
-log.info("Plotting results")
-fig, (ax_dep, ax_vel) = plt.subplots(2)
-
-ax_dep.plot(t, (dep - botl)[:, x0], label="dep")
-ax_dep.set(xlabel="t (s)", ylabel="z (m)")
-ax_dep.autoscale(axis="x", tight=True)
-ax_dep.grid()
-ax_dep.axvline(t0, c='k', alpha=.2)
-
-ax_vel.plot(t, vel[:, 0, x0], label="vel")
-ax_vel.set(xlabel="t (s)", ylabel="U (m/s)")
-ax_vel.autoscale(axis="x", tight=True)
-ax_vel.grid()
-ax_vel.axvline(t0, c='k', alpha=.2)
-
-fig.tight_layout()
-
-fig_r, ax_r = plt.subplots()
-
-ax_r.plot(phi_eta[0], R)
-ax_r.autoscale(axis="x", tight=True)
-ax_r.set(ylim=(0, 1), xlabel="f (Hz)", ylabel="R")
-ax_r.grid()
-
-fig_x, ax_x = plt.subplots()
-ax_x.plot(-botl[0, :], color='k')
-ax_x.plot((dep-botl)[t == t0, :].T)
-ax_x.axvline(x0, c='k', alpha=.2)
-ax_x.set(xlabel="x (m)", ylabel="z (m)")
-ax_x.autoscale(axis="x", tight=True)
-ax_x.grid()
-
-out = pathlib.Path(config.get("post", "out"))
-log.info(f"Saving plots in '{out}'")
-out.mkdir(exist_ok=True)
-
-fig.savefig(out.joinpath(f"t{x0}.png"))
-fig_r.savefig(out.joinpath(f"R{x0}.png"))
-fig_x.savefig(out.joinpath(f"x{t0}.png"))
-
-log.info("Finished post-processing")

swash/processing/sws_npz.py

@@ -32,4 +32,5 @@ botl = read_nohead_scalar(sws_out.joinpath("botl.dat"), n_x)
 dep = np.maximum(0, read_nohead_scalar(sws_out.joinpath("dep.dat"), n_x))
 vel = read_nohead_vect(sws_out.joinpath("vel.dat"), n_x)
 
+inp.mkdir(exist_ok=True)
 np.savez_compressed(inp.joinpath("sws"), botl=botl, dep=dep, vel=vel)