|
48 | 48 | from pathlib import Path |
49 | 49 |
|
50 | 50 | import numpy as np |
| 51 | +import matplotlib.pyplot as plt |
| 52 | +import matplotlib.patches as patches |
51 | 53 |
|
52 | 54 | from fluiddyn.util import mpi |
53 | 55 | from fluiddyn.calcul.easypyfft import fftw_grid_size |
@@ -866,6 +868,61 @@ def __init__(self, sim): |
866 | 868 | else: |
867 | 869 | self.period_change_f0f1 = time_correlation |
868 | 870 |
|
| 871 | + def plot_forcing_region(self): |
| 872 | + """Plots the forcing region""" |
| 873 | + pforcing = self.params.forcing |
| 874 | + kf_max = self.kmax_forcing |
| 875 | + |
| 876 | + try: |
| 877 | + self.params.oper.nz |
| 878 | + except AttributeError: |
| 879 | + ndim = 2 |
| 880 | + else: |
| 881 | + ndim = 3 |
| 882 | + |
| 883 | + if ndim == 2: |
| 884 | + Kh = self.oper_coarse.KX |
| 885 | + Kv = self.oper_coarse.KY |
| 886 | + deltakv = self.oper.deltaky |
| 887 | + else: |
| 888 | + Kh = np.sqrt(self.oper_coarse.Kx**2 + self.oper_coarse.Ky**2) |
| 889 | + Kv = self.oper_coarse.Kz |
| 890 | + deltakv = self.oper.deltakz |
| 891 | + |
| 892 | + fig, ax = plt.subplots() |
| 893 | + ax.set_aspect("equal") |
| 894 | + |
| 895 | + title = ( |
| 896 | + f"{pforcing.type}; " |
| 897 | + rf"$nk_{{min}} = {pforcing.nkmin_forcing} \delta k_v$; " |
| 898 | + rf"$nk_{{max}} = {pforcing.nkmax_forcing} \delta k_v$;" |
| 899 | + f"\nForced modes = {self.nb_forced_modes}" |
| 900 | + ) |
| 901 | + |
| 902 | + ax.set_title(title) |
| 903 | + ax.set_xlabel(r"$k_h$") |
| 904 | + ax.set_ylabel(r"$k_z$") |
| 905 | + |
| 906 | + # Parameters figure |
| 907 | + |
| 908 | + # Set limits to 120% of the kf_max |
| 909 | + factor = 1.2 |
| 910 | + ax.set_xlim([0.0, factor * kf_max]) |
| 911 | + ax.set_ylim([0.0, factor * kf_max]) |
| 912 | + |
| 913 | + xticks = np.arange(0.0, factor * kf_max, deltakv) |
| 914 | + yticks = np.arange(0.0, factor * kf_max, deltakv) |
| 915 | + ax.set_xticks(xticks) |
| 916 | + ax.set_yticks(yticks) |
| 917 | + |
| 918 | + # Plot forced modes in red |
| 919 | + indices_forcing = np.argwhere(~self.COND_NO_F) |
| 920 | + for i, index in enumerate(indices_forcing): |
| 921 | + label = "Forced mode" if i == 0 else "" |
| 922 | + ax.plot(Kh[*index], Kv[*index], "ro", label=label) |
| 923 | + ax.grid(linestyle="--", alpha=0.4) |
| 924 | + ax.legend() |
| 925 | + |
869 | 926 | def forcingc_raw_each_time(self, a_fft): |
870 | 927 | """Return a coarse forcing as a linear combination of 2 random arrays |
871 | 928 |
|
|
0 commit comments