Display layered results; fix read_swash for layered vectors

swash/processing/animate.py

@@ -23,22 +23,29 @@ config.read("config.ini")
 inp = pathlib.Path(config.get("post", "inp"))
 root = pathlib.Path(config.get("swash", "out"))
 
-data = np.load(inp.joinpath(config.get("post", "case")))
 bathy = pd.read_hdf(
     pathlib.Path(config.get("data", "out")).joinpath("bathy.h5"), "bathy"
 )
 
-x = data["x"]
-t = data["t"]
 
-wl = np.maximum(data["watl"], -data["botl"])
-print(x.size, -np.arange(0, 1 * bathy.hstru.size, 1)[::-1].size)
+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, -data["botl"], c="k")
-ax.fill_between(
-    x, -data["botl"], -data["botl"] + bathy.hstru, color="k", alpha=0.2
-)
+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])
 
 

swash/processing/layers.py

@@ -0,0 +1,69 @@
+import argparse
+import configparser
+import logging
+import pathlib
+
+import matplotlib.pyplot as plt
+import matplotlib.animation as animation
+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")
+zk = data("zk")
+velk = data("velk")
+
+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
+# )
+lines = ax.plot(x, zk[0].T)
+
+print(velk.shape)
+velk = velk.reshape((6001, 10, 2, 1251))
+vk = np.sqrt((velk[1000] ** 2).sum(axis=1))
+print(vk.shape)
+plt.imshow(vk)
+plt.colorbar()
+
+# def animate(i):
+#    for line, z in zip(lines, zk[i]):
+#        line.set_ydata(z)
+#        return lines
+#
+# ani = animation.FuncAnimation(
+#    fig, animate, frames=wl[:, 0].size, interval=20, blit=True
+# )
+
+plt.show(block=True)

swash/processing/read_swash.py

@@ -41,7 +41,7 @@ class ReadSwash:
         return self.read_nohead(path).reshape((self._n_t, -1, self._n_x))
 
     def read_vector_lay(self, path):
-        return self.read_nohead(path).reshape((self._n_t, 2, -1, self._n_x))
+        return self.read_nohead(path).reshape((self._n_t, -1, 2, self._n_x))
 
     @property
     def t(self):