mkdir in sws_npz
This commit is contained in:
parent
948cb178de
commit
bb4981ebf7
2 changed files with 1 additions and 100 deletions
|
@ -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")
|
|
@ -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)
|
||||
|
|
Loading…
Reference in a new issue