Bathymetry processing (combining low-res and high-res)

swash/config.ini

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+[proc]
+plot=True
+
+[data]
+root=data
+hires=bathyhires.dat
+bathy=buoyarthabathy.dat
+hstru=Hstru.dat
+poro=Poro.dat
+psize=Psize.dat

swash/processing/bathy.py

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+import pathlib
+import configparser
+import logging
+import sys
+
+import numpy as np
+import pandas as pd
+
+try:
+    import matplotlib.pyplot as plt
+except ImportError:
+    plt = None
+
+
+logging.basicConfig(level="INFO")
+log = logging.getLogger("bathy")
+
+config = configparser.ConfigParser()
+config.read("config.ini")
+
+root = pathlib.Path(config.get("data", "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")))
+
+x_hires = np.arange(-0.5 * bathy_hires.size, 0, 0.5)
+x_lores = np.arange(-1 * bathy_lores.size, 0, 1)
+#x_hstru = np.arange(-1 * hstru.size, 0, 1)
+
+bathy_hires_pd = pd.Series(bathy_hires.copy(), index=x_hires)
+bathy_lores_pd = pd.Series(bathy_lores.copy(), index=x_lores)
+
+bathy = bathy_lores_pd
+inter = bathy_lores_pd.index.intersection(bathy_hires_pd.index)
+bathy[inter] = bathy_hires_pd[inter]
+
+if config.getboolean("proc", "plot", fallback=False):
+    if plt is None:
+        log.error("Could not import PyPlot")
+        sys.exit(1)
+
+    fig, ax = plt.subplots()
+    ax.plot(x_hires, bathy_hires, label="High-res")
+    ax.plot(x_lores, bathy_lores, label="Low-res")
+    #ax.plot(x_hstru, hstru, label="H stru")
+    ax.plot(bathy.index, bathy, ls="-.", c="k", label="Combined")
+
+    ax.grid()
+    ax.legend()
+    plt.show(block=True)