71 lines
2 KiB
Python
71 lines
2 KiB
Python
import argparse
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import configparser
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import logging
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import pathlib
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import numpy as np
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from scipy import interpolate
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import matplotlib.pyplot as plt
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from .lambert import Lambert
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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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parser.add_argument("-c", "--config", default="config.ini")
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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("bathy")
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log.info("Starting bathymetry pre-processing")
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config = configparser.ConfigParser()
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config.read(args.config)
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inp_root = pathlib.Path(config.get("inp", "root"))
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out_root = pathlib.Path(config.get("out", "root"))
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bathy_inp = out_root.joinpath(config.get("out", "sub"))
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log.info(f"Loading bathymetry from {bathy_inp}")
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bathy_curvi = np.load(bathy_inp)
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projection = Lambert()
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bathy = np.stack(
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(
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*projection.cartesian(bathy_curvi[:, 0], bathy_curvi[:, 1]),
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bathy_curvi[:, 2],
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),
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axis=1,
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)
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log.debug(f"Cartesian bathy: {bathy}")
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artha_curvi = np.array(
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(config.getfloat("artha", "lon"), config.getfloat("artha", "lat"))
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)
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buoy_curvi = np.array((config.getfloat("buoy", "lon"), config.getfloat("buoy", "lat")))
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artha = np.asarray(projection.cartesian(*artha_curvi))
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buoy = np.asarray(projection.cartesian(*buoy_curvi))
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bathy[:, :2] = bathy[:, :2] - artha
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fig, ax = plt.subplots(figsize=(6 / 2.54, 5 / 2.54), constrained_layout=True, dpi=200)
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c = ax.tricontourf(
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bathy[:, 0],
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bathy[:, 1],
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bathy[:, 2],
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cmap="plasma",
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levels=np.arange(-30, 10, 5),
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extend="both",
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)
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ax.plot(*(np.stack((artha, buoy)) - artha).T, lw=1, ls="-.", c="k", marker="x")
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ax.set(xlim=(bathy[np.argmax(bathy[:, 1]), 0], bathy[np.argmin(bathy[:, 1]), 0]))
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ax.set(ylim=(bathy[np.argmin(bathy[:, 0]), 1], bathy[np.argmax(bathy[:, 0]), 1]))
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ax.set(xlabel="x (m)", ylabel="y (m)")
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fig.colorbar(c, label="z (m)")
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ax.set_aspect("equal")
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ax.set_rasterization_zorder(1.5)
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fig.savefig(out_root.joinpath("bathy2d.pdf"))
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plt.show()
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