83 lines
2.0 KiB
Python
83 lines
2.0 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 matplotlib.pyplot as plt
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import numpy as np
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from scipy import interpolate
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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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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("config.ini")
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bathy_inp = pathlib.Path(config.get("bathy", "sub"))
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bathy_out = pathlib.Path(config.get("bathy", "out"))
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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(
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(config.getfloat("buoy", "lon"), config.getfloat("buoy", "lat"))
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)
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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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def display():
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x = np.linspace(bathy[:, 0].min(), bathy[:, 0].max())
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y = np.linspace(bathy[:, 1].min(), bathy[:, 1].max())
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X, Y = np.meshgrid(x, y)
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Z = interpolate.griddata(
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bathy[:, :2], bathy[:, 2], (X, Y), method="nearest"
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)
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fix, ax = plt.subplots()
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ax.pcolormesh(X, Y, Z)
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ax.scatter(*artha, c="k")
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ax.scatter(*buoy, c="k")
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ax.axis("equal")
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return ax
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D = np.diff(np.stack((artha, buoy)), axis=0)
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x = np.arange(-150, np.sqrt((D**2).sum()) + 150)
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theta = np.angle(D.dot((1, 1j)))
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coords = artha + (x * np.stack((np.cos(theta), np.sin(theta)))).T
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z = interpolate.griddata(bathy[:,:2], bathy[:,2], coords)
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ax = display()
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ax.scatter(*coords.T, c="k", marker=".")
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fig_1d, ax_1d = plt.subplots()
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ax_1d.plot(x, z)
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plt.show(block=True)
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