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Swash processing for article

This commit is contained in:
Edgar P. Burkhart 2022-07-06 07:55:33 +02:00
parent 34fcb4e879
commit 14ef85246a
Signed by: edpibu
GPG Key ID: 9833D3C5A25BD227
2 changed files with 9 additions and 3 deletions

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@ -4,6 +4,7 @@ import logging
import pathlib import pathlib
import matplotlib.pyplot as plt import matplotlib.pyplot as plt
from matplotlib.ticker import MultipleLocator, LogLocator, NullFormatter
import numpy as np import numpy as np
import scipy.signal as sgl import scipy.signal as sgl
@ -49,12 +50,13 @@ J = 1 / dj * np.log2(N * dt / s0)
j = np.arange(0, J) j = np.arange(0, J)
sj = s0 * 2 ** (j * dj) sj = s0 * 2 ** (j * dj)
Mw = sj / dt Mw = sj / dt
sig = np.var(watl[:, i0]) sig = np.std(watl[:, i0])
M = np.stack([(np.abs(sgl.cwt(watl[:, i], sgl.morlet2, Mw))/sig)**2 for i in i0]) M = np.stack([(np.abs(sgl.cwt(watl[:, i], sgl.morlet2, Mw))/sig)**2 for i in i0])
v = np.max(M) v = np.max(M)
T = 2 * sj * np.pi / 5
for ax_x, M_, x_ in zip(ax.reshape(-1), M, x[i0]): for ax_x, M_, x_ in zip(ax.reshape(-1), M, x[i0]):
c = ax_x.contourf(t, sj, M_, cmap="Greys", vmin=0, levels=[1, 2.5, 5, 10, 20, 40], extend="both") c = ax_x.contourf(t, T, M_, cmap="Greys", vmin=0, levels=[1, 2.5, 5, 10, 20, 40], extend="both")
fig_x.colorbar(c, ax=ax_x, label="NWPS") fig_x.colorbar(c, ax=ax_x, label="NWPS")
ax_x.grid(color="k", alpha=0.2) ax_x.grid(color="k", alpha=0.2)
ax_x.text( ax_x.text(
@ -71,6 +73,10 @@ for ax_x, M_, x_ in zip(ax.reshape(-1), M, x[i0]):
ax_x.set_rasterization_zorder(1.5) ax_x.set_rasterization_zorder(1.5)
ax_x.set(ylabel="T (s)", ylim=(sj[0], sj[-1])) ax_x.set(ylabel="T (s)", ylim=(sj[0], sj[-1]))
ax_x.xaxis.set_minor_locator(MultipleLocator(100))
ax_x.yaxis.set_major_locator(LogLocator(10, numticks=2**10))
ax_x.yaxis.set_minor_locator(LogLocator(10, subs=np.arange(10), numticks=2**10))
ax_x.yaxis.set_minor_formatter(NullFormatter())
if ax_x != ax.reshape(-1)[-1]: if ax_x != ax.reshape(-1)[-1]:
ax_x.axes.set_xticklabels([]) ax_x.axes.set_xticklabels([])
else: else:

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@ -76,7 +76,7 @@ ax.grid()
fig.savefig(out.joinpath("wsize.pdf")) fig.savefig(out.joinpath("wsize.pdf"))
fig2, ax2 = plt.subplots( fig2, ax2 = plt.subplots(
figsize=(10 / 2.54, 2 / 3 * 10 / 2.54), constrained_layout=True figsize=(10 / 2.54, 4 / 2.54), constrained_layout=True
) )
ax2.plot( ax2.plot(
t[cr0[i0 - 5] : cr0[i0 + 7]] * 1e-3, t[cr0[i0 - 5] : cr0[i0 + 7]] * 1e-3,