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(-0.5 * hstru.size, 0, 0.5) bathy_hires_pd = pd.Series(bathy_hires.copy(), index=x_hires) bathy_lores_pd = pd.Series(bathy_lores.copy(), index=x_lores) bathy = pd.DataFrame( index=bathy_lores_pd.index.union(bathy_hires_pd.index), columns=("z", "hstru"), ) bathy.z[bathy_lores_pd.index] = bathy_lores_pd bathy.z[bathy_hires_pd.index] = bathy_hires_pd bathy.hstru = 0 bathy.loc[x_hstru, "hstru"] = hstru if config.has_section("out"): out = pathlib.Path(config.get("out", "root")) np.savetxt(out.joinpath("bathy.dat"), bathy.z, newline=" ") np.savetxt(out.joinpath("hstru.dat"), bathy.hstru, newline=" ") 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(bathy.index, bathy.z, ls="-.", c="k", label="Combined") ax.plot(bathy.index, bathy.hstru, label="H stru") ax.grid() ax.legend() plt.show(block=True)