103 lines
2.8 KiB
Python
103 lines
2.8 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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from matplotlib.ticker import MultipleLocator
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import numpy as np
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parser = argparse.ArgumentParser(description="Plot orbitals")
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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 time-series 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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raw_ts = []
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for tsi in config.get("inp", "raw_ts").split(","):
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raw_ts.append(
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np.loadtxt(
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inp_root.joinpath(tsi),
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dtype=[("state", int), ("z", float), ("y", float), ("x", float)],
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delimiter=",",
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max_rows=2304,
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)
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)
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n = len(raw_ts)
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raw_ts = np.concatenate(raw_ts)
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log.debug(f"{raw_ts=}")
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if (errs := np.count_nonzero(raw_ts["state"])) != 0:
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log.warning(f"{errs} transmission errors!")
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log.debug(f"{dict(zip(*np.unique(raw_ts['state'], return_counts=True)))}")
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t = np.linspace(0, 30 * 60 * n, 2304 * n + 1)[:-1]
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log.debug(f"{t=}")
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flt = (t > 1370) & (t < 1405)
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figt, axt = plt.subplots(3)
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axt[0].plot(t, raw_ts["x"])
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axt[1].plot(t, raw_ts["y"])
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axt[2].plot(t, raw_ts["z"])
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for ax in axt:
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ax.axvline(t[flt].min(), c="k")
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ax.axvline(t[flt].max(), c="k")
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ax.grid()
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ax.set(xlim=(t.min(), t.max()))
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ts_flt = raw_ts[flt]
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z0 = ts_flt["z"]
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figtz, axtz = plt.subplots(3)
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axtz[0].plot(t[flt], ts_flt["x"])
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axtz[1].plot(t[flt], ts_flt["y"])
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axtz[2].plot(t[flt], z0)
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for ax in axtz:
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ax.grid()
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ax.set(xlim=(t[flt].min(), t[flt].max()))
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fig3d = plt.figure()
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ax3d = fig3d.add_subplot(projection="3d")
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ax3d.plot(ts_flt["x"], ts_flt["y"], z0, c="#0066ff")
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ax3d.quiver3D(
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ts_flt["x"][:-1],
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ts_flt["y"][:-1],
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z0[:-1],
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np.diff(ts_flt["x"])[:],
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np.diff(ts_flt["y"])[:],
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np.diff(z0)[:],
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color="#0066ff",
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)
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ax3d.set(xlabel="x (cm)", ylabel="y (cm)", zlabel="z (cm)")
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theta = np.angle(raw_ts["x"] + 1j * raw_ts["y"]).mean()
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fig2dv, ax2dv = plt.subplots(figsize=(5/2.54, 2/3*10/2.54), dpi=200, constrained_layout=True)
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x0 = ts_flt["x"] * np.cos(theta) + ts_flt["y"] * np.sin(theta)
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#ax2dv.plot(x0, z0, c="#0066ff", lw=1)
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ax2dv.quiver(
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x0[:-1] * 1e-2,
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z0[:-1] * 1e-2,
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np.diff(x0)[:] * 1e-2,
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np.diff(z0)[:] * 1e-2,
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color="k",
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scale_units="xy",
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scale=1,
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)
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ax2dv.grid(c="k", alpha=.2)
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ax2dv.set(aspect="equal", xlabel="x (m)", ylabel="z (m)")
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ax2dv.set(ylim=(-10, 10))
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ax2dv.yaxis.set_minor_locator(MultipleLocator(1))
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fig2dv.savefig(out_root.joinpath("orbitals.pdf"))
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fig2dv.savefig(out_root.joinpath("out_orbitals.jpg"))
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plt.show()
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