internship/swash/processing/bathy.py

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 = bathy_lores_pd.reindex(
    bathy_lores_pd.index.union(bathy_hires_pd.index)
)
bathy[bathy_hires_pd.index] = bathy_hires_pd

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, bathy[x_hstru]+hstru, label="H stru")
    ax.plot(bathy.index, bathy, ls="-.", c="k", label="Combined")

    ax.grid()
    ax.legend()
    plt.show(block=True)