LFS wtf

swash/processing/animate.py

@@ -1,3 +1,60 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:4ab57e0a813e6ea3086045717e251b2c44e00891a858d9f6365e3e604fefee03
-size 1316
+import argparse
+import configparser
+import logging
+import pathlib
+
+import matplotlib.animation as animation
+import matplotlib.pyplot as plt
+import numpy as np
+import pandas as pd
+
+parser = argparse.ArgumentParser(description="Animate swash output")
+parser.add_argument("-v", "--verbose", action="count", default=0)
+args = parser.parse_args()
+
+logging.basicConfig(level=max((10, 20 - 10 * args.verbose)))
+log = logging.getLogger("post")
+
+log.info("Starting post-processing")
+config = configparser.ConfigParser()
+config.read("config.ini")
+
+inp = pathlib.Path(config.get("post", "inp"))
+root = pathlib.Path(config.get("swash", "out"))
+
+bathy = pd.read_hdf(
+    pathlib.Path(config.get("data", "out")).joinpath("bathy.h5"), "bathy"
+)
+
+
+def data(var):
+    return np.load(inp.joinpath(f"{var}.npy"))
+
+
+x = data("xp")
+t = data("tsec")
+
+watl = data("watl")
+botl = data("botl")
+
+wl = np.maximum(watl, -botl)
+# print(x.size, -np.arange(0, 1 * bathy.hstru.size, 1)[::-1].size)
+
+fig, ax = plt.subplots()
+ax.plot(x, -botl, c="k")
+# ax.fill_between(
+#    x, -botl, -data["botl"] + bathy.hstru, color="k", alpha=0.2
+# )
+(line,) = ax.plot(x, wl[0])
+
+
+def animate(i):
+    line.set_ydata(wl[i])
+    return (line,)
+
+
+ani = animation.FuncAnimation(
+    fig, animate, frames=wl[:, 0].size, interval=20, blit=True
+)
+
+plt.show(block=True)