Updates in data
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1ce423ea73
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3 changed files with 14 additions and 31 deletions
1
data/.gitignore
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1
data/.gitignore
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/out
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[bathy]
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inp=Database_20220224.xyz
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sub=bathy_sub.npy
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out=bathy.npy
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inp=data/Database_20220224.xyz
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sub=out/bathy_sub.npy
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out=out/bathy.npy
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step=1
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[artha]
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lat=43.398450
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@ -32,7 +32,7 @@ bathy = np.stack(
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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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axis=1,
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)
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log.debug(f"Cartesian bathy: {bathy}")
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@ -46,37 +46,18 @@ buoy_curvi = np.array(
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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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x = np.arange(
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-150,
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np.sqrt((D**2).sum()) + 150,
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config.getfloat("bathy", "step", fallback=1),
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)
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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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log.info("Interpolating bathymetry in 1D")
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z = interpolate.griddata(bathy[:, :2], bathy[:, 2], coords)
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log.debug(z)
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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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