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Pre-processing

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This commit is contained in:
Edgar P. Burkhart 2022-03-02 12:21:48 +01:00
parent 0461cb7e08
commit f816c25865
Signed by: edpibu
GPG key ID: 9833D3C5A25BD227
2 changed files with 30 additions and 7 deletions
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2
swash/config.ini
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@ -1,5 +1,5 @@
[proc]
plot=True
#plot=True
[data]
root=data

35
swash/processing/bathy.py
View file

@ -1,4 +1,5 @@
import pathlib
import argparse
import configparser
import logging
import sys
@ -12,7 +13,11 @@ except ImportError:
plt = None
logging.basicConfig(level="INFO")
parser = argparse.ArgumentParser(description="Pre-process bathymetry")
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("bathy")
log.info("Starting bathymetry pre-processing")
@ -25,6 +30,8 @@ log.info(f"Reading input data from '{root}'")
bathy_hires = np.loadtxt(root.joinpath(config.get("data", "hires")))
bathy_lores = np.loadtxt(root.joinpath(config.get("data", "bathy")))
hstru = np.loadtxt(root.joinpath(config.get("data", "hstru")))
poro = np.loadtxt(root.joinpath(config.get("data", "poro")))
psize = np.loadtxt(root.joinpath(config.get("data", "psize")))
log.info("Generating grid")
x_hires = np.arange(-0.5 * bathy_hires.size, 0, 0.5)
@ -37,19 +44,33 @@ bathy_lores_pd = pd.Series(bathy_lores.copy(), index=x_lores)
bathy = pd.DataFrame(
index=bathy_lores_pd.index.union(bathy_hires_pd.index),
columns=("z", "hstru"),
columns=("z", "hstru", "poro", "psize"),
data=0,
)
bathy.z[bathy_lores_pd.index] = bathy_lores_pd
bathy.z[bathy_hires_pd.index] = bathy_hires_pd
bathy.hstru = 0
bathy.loc[x_hstru, "hstru"] = hstru
bathy.loc[x_hstru, ("hstru", "poro", "psize")] = np.array(
(hstru, poro, psize)
).T
bathy = bathy.reindex(bathy_lores_pd.index)
log.debug(f"Bathymetry:\n{bathy}")
log.info(
f"xmin: {bathy.index.min()}, "
f"xmax: {bathy.index.max()}, "
f"n: {bathy.index.size}"
)
if config.has_section("out"):
log.info("Writing output data")
out = pathlib.Path(config.get("out", "root"))
log.info(f"Writing output data to '{out}'")
np.savetxt(out.joinpath("bathy.dat"), bathy.z, newline=" ")
np.savetxt(out.joinpath("hstru.dat"), bathy.hstru, newline=" ")
np.savetxt(out.joinpath("poro.dat"), bathy.poro, newline=" ")
np.savetxt(out.joinpath("psize.dat"), bathy.psize, newline=" ")
bathy.to_hdf(out.joinpath("bathy.h5"), "bathy", mode="w")
if config.getboolean("proc", "plot", fallback=False):
if plt is None:
@ -62,7 +83,9 @@ if config.getboolean("proc", "plot", fallback=False):
ax.plot(x_hires, bathy_hires, label="High-res")
ax.plot(x_lores, bathy_lores, label="Low-res")
ax.plot(bathy.index, bathy.z, ls="-.", c="k", label="Combined")
ax.plot(bathy.index, bathy.hstru, label="H stru")
ax.plot(bathy.index, bathy.hstru, label="Hstru")
ax.plot(bathy.index, bathy.poro, label="Poro")
ax.plot(bathy.index, bathy.psize, label="Psize")
ax.grid()
ax.legend()