|
| | py_utils.visualization.set_plot_config (cfg) |
| |
| | py_utils.visualization._set_title (ax, text, **kw) |
| |
| | py_utils.visualization._apply_axis_config (ax, group) |
| |
| | py_utils.visualization._apply_axis_config_to_fig (fig, group) |
| |
| | py_utils.visualization._legend_fs () |
| |
| | py_utils.visualization._legend_below (fig, axes, ncol=8, fontsize=None, bottom=0.28) |
| |
| | py_utils.visualization._check_mpl () |
| |
| | py_utils.visualization._dose_xlim (dose) |
| |
| | py_utils.visualization._align_dose_to_y (results) |
| |
| | py_utils.visualization.plot_point_defects (results, out_path=None, title='') |
| |
| | py_utils.visualization.plot_totals (results, out_path=None, title='') |
| |
| | py_utils.visualization.plot_swelling (results, out_path=None, title='') |
| |
| | py_utils.visualization.plot_network_density (results, out_path=None, title='') |
| |
| | py_utils.visualization._has_conversion (results) |
| |
| | py_utils.visualization.plot_mean_sizes (results, out_path=None, title='') |
| |
| | py_utils.visualization.plot_he_content (results, out_path=None, title='') |
| |
| | py_utils.visualization.plot_size_distribution (results, input_data, t_idx=-1, out_path=None, title='') |
| |
| | py_utils.visualization._extract_cluster_arrays (results, input_data) |
| |
| | py_utils.visualization.plot_sia_clusters (results, input_data, out_path=None, title='') |
| |
| | py_utils.visualization.plot_vac_clusters (results, input_data, out_path=None, title='') |
| |
| | py_utils.visualization._log_snapshot_indices (dose, n_times=10) |
| |
| | py_utils.visualization._b_100 (results, input_data, b_111) |
| |
| | py_utils.visualization._loop_dist_evolution (c_src, b, Omega, dose, n_times, char, title) |
| |
| | py_utils.visualization._save_pair (figs, out_path) |
| |
| | py_utils.visualization.plot_sia_distribution_evolution (results, input_data, n_times=10, out_path=None, title='') |
| |
| | py_utils.visualization.plot_100_distribution_evolution (results, input_data, n_times=10, out_path=None, title='') |
| |
| | py_utils.visualization.plot_void_distribution_evolution (results, input_data, n_times=10, out_path=None, title='') |
| |
| | py_utils.visualization.plot_number_densities (results, out_path=None, title='') |
| |
| | py_utils.visualization.plot_loop_fraction (results, out_path=None, title='') |
| |
| | py_utils.visualization._tem_filter (c_arr, n_min=_N_MIN_TEM) |
| |
| | py_utils.visualization.plot_number_densities_tem (results, input_data, rate_eq_obj, out_path=None, title='') |
| |
| | py_utils.visualization.plot_mean_sizes_tem (results, input_data, rate_eq_obj, out_path=None, title='') |
| |
| | py_utils.visualization._visualization_bins (rate_eq_obj, max_size, kind) |
| |
| | py_utils.visualization._aggregate_to_bins (c_per_size, bins_full) |
| |
| | py_utils.visualization._plot_tem_density_panel (bins_full, mu0_arr, dose, *n_times, xform, n_min, xlabel, ylabel, plot_title, cmap_name, use_logx, out_path, ymin=None) |
| |
| | py_utils.visualization.plot_sia_distribution_tem_size (results, input_data, rate_eq_obj, n_times=8, out_path=None, title='') |
| |
| | py_utils.visualization.plot_sia_distribution_tem_diameter (results, input_data, rate_eq_obj, n_times=8, out_path=None, title='') |
| |
| | py_utils.visualization.plot_vac_distribution_tem_size (results, input_data, rate_eq_obj, n_times=8, out_path=None, title='') |
| |
| | py_utils.visualization.plot_vac_distribution_tem_diameter (results, input_data, rate_eq_obj, n_times=8, out_path=None, title='') |
| |
| | py_utils.visualization._interp_bins_at_doses (mu0_arr, dose, targets) |
| |
| | py_utils.visualization._plot_smooth_diameter_panel (bins_full, mu0_arr, dose, *xform, n_min, xlabel, ylabel, plot_title, cmap_name, out_path, ymin, xmax=None, doses=_SMOOTH_DOSES) |
| |
| | py_utils.visualization.plot_vac_distribution_diameter_smooth (results, input_data, rate_eq_obj, out_path=None, title='') |
| |
| | py_utils.visualization.plot_sia_distribution_diameter_smooth (results, input_data, rate_eq_obj, out_path=None, title='') |
| |
| | py_utils.visualization._reconstruct_distributions (results, input_data, rate_eq_obj) |
| |
| | py_utils.visualization.plot_sia_conc_vs_dose (results, input_data, rate_eq_obj, out_path=None, title='') |
| |
| | py_utils.visualization._plot_vac_moment_vs_dose (results, input_data, rate_eq_obj, *weight, ylabel, plot_title, out_path, ymin=None) |
| |
| | py_utils.visualization.plot_vac_conc_vs_dose (results, input_data, rate_eq_obj, out_path=None, title='') |
| |
| | py_utils.visualization.plot_vac_content_vs_dose (results, input_data, rate_eq_obj, out_path=None, title='') |
| |
| | py_utils.visualization._quarter_indices (dose) |
| |
| | py_utils.visualization._logspaced_indices (dose, n_snap=8) |
| |
| | py_utils.visualization.plot_sia_fraction_breakdown (results, out_path=None, title='') |
| |
| | py_utils.visualization.plot_vac_fraction_breakdown (results, out_path=None, title='') |
| |
| | py_utils.visualization._atomic_pickle_dump (payload, out_path) |
| |
| | py_utils.visualization.save_plot_data (results, input_data, out_path, *rate_eq_obj=None, label='') |
| |
| | py_utils.visualization.load_plot_data (path) |
| |
| | py_utils.visualization._safe_save (artifact, fn, *args, **kwargs) |
| |
| | py_utils.visualization.save_all_plots (results, input_data, out_dir, label='', rate_eq_obj=None) |
| |
