Added post-processing config
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14ff5eef13
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55d19e710f
2 changed files with 21 additions and 2 deletions
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@ -17,3 +17,5 @@ out=out
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[post]
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[post]
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out=out_post
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out=out_post
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dt=0.25
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x0=125
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@ -1,5 +1,7 @@
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import configparser
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import configparser
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import pathlib
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import pathlib
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import argparse
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import logging
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import numpy as np
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import numpy as np
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import pandas as pd
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import pandas as pd
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@ -9,15 +11,25 @@ import scipy.signal as sgl
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from .read_swash import *
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from .read_swash import *
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parser = argparse.ArgumentParser(description="Pre-process bathymetry")
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parser.add_argument("-v", "--verbose", action="count", default=0)
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args = parser.parse_args()
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logging.basicConfig(level=max((10, 20 - 10 * args.verbose)))
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log = logging.getLogger("post")
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log.info("Starting post-processing")
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config = configparser.ConfigParser()
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config = configparser.ConfigParser()
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config.read("config.ini")
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config.read("config.ini")
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cache = pathlib.Path(config.get("data", "out"))
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cache = pathlib.Path(config.get("data", "out"))
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root = pathlib.Path(config.get("swash", "out"))
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root = pathlib.Path(config.get("swash", "out"))
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log.info(f"Reading bathymetry from '{cache}'")
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bathy = pd.read_hdf(cache.joinpath("bathy.h5"), "bathy")
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bathy = pd.read_hdf(cache.joinpath("bathy.h5"), "bathy")
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n = bathy.index.size
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n = bathy.index.size
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log.info(f"Reading swash output from '{root}'")
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botl = read_nohead_scalar(root.joinpath("botl.dat"), n)
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botl = read_nohead_scalar(root.joinpath("botl.dat"), n)
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dep = np.maximum(0, read_nohead_scalar(root.joinpath("dep.dat"), n))
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dep = np.maximum(0, read_nohead_scalar(root.joinpath("dep.dat"), n))
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vel = read_nohead_vect(root.joinpath("vel.dat"), n)
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vel = read_nohead_vect(root.joinpath("vel.dat"), n)
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@ -25,8 +37,9 @@ vel = read_nohead_vect(root.joinpath("vel.dat"), n)
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n_t = botl.shape[0]
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n_t = botl.shape[0]
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# Cospectral calculations
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# Cospectral calculations
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pos_x = n // 10
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pos_x = config.getint("post", "x0")
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f = 1 / 0.25
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f = 1 / config.getfloat("post", "dt")
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log.info(f"Computing reflection coefficient at x={pos_x}")
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eta = (dep - botl)[n_t // 2 :, pos_x]
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eta = (dep - botl)[n_t // 2 :, pos_x]
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u = vel[n_t // 2 :, 0, pos_x]
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u = vel[n_t // 2 :, 0, pos_x]
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@ -41,6 +54,7 @@ R = np.sqrt(
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)
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)
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# Plotting
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# Plotting
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log.info("Plotting results")
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fig, (ax_dep, ax_vel) = plt.subplots(2)
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fig, (ax_dep, ax_vel) = plt.subplots(2)
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ax_dep.plot((dep - botl)[:, pos_x], label="dep", color="#0066ff")
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ax_dep.plot((dep - botl)[:, pos_x], label="dep", color="#0066ff")
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@ -63,7 +77,10 @@ ax_r.set(ylim=(0, 1), xlabel="f (Hz)", ylabel="R")
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ax_r.grid()
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ax_r.grid()
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out = pathlib.Path(config.get("post", "out"))
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out = pathlib.Path(config.get("post", "out"))
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log.info(f"Saving plots in '{out}'")
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out.mkdir(exist_ok=True)
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out.mkdir(exist_ok=True)
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fig.savefig(out.joinpath(f"{pos_x}.png"))
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fig.savefig(out.joinpath(f"{pos_x}.png"))
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fig_r.savefig(out.joinpath(f"R{pos_x}.png"))
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fig_r.savefig(out.joinpath(f"R{pos_x}.png"))
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log.info("Finished post-processing")
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