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Commit 0c8d23e4 authored by Fanis Baikas's avatar Fanis Baikas
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Removed white-space padding from plots.

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src/plot_utils.py
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...@@ -94,7 +94,7 @@ def best_fitness_vs_gen_plot(dataset_names, subset_prop_list, num_of_trials, res ...@@ -94,7 +94,7 @@ def best_fitness_vs_gen_plot(dataset_names, subset_prop_list, num_of_trials, res
# fig.suptitle('Generation vs Best fitness') # fig.suptitle('Generation vs Best fitness')
fig.subplots_adjust(bottom=0.2, left=0.15, right=0.78) fig.subplots_adjust(bottom=0.2, left=0.15, right=0.78)
plt.savefig(plots_dir_path + 'gen_vs_best_fitness.pdf') plt.savefig(plots_dir_path + 'gen_vs_best_fitness.pdf', bbox_inches='tight', pad_inches=0.0)
def best_fitness_vs_time_plot(dataset_names, subset_prop_list, num_of_trials, results_dir_path, plots_dir_path): def best_fitness_vs_time_plot(dataset_names, subset_prop_list, num_of_trials, results_dir_path, plots_dir_path):
# Create figure and set size # Create figure and set size
...@@ -159,7 +159,7 @@ def best_fitness_vs_time_plot(dataset_names, subset_prop_list, num_of_trials, re ...@@ -159,7 +159,7 @@ def best_fitness_vs_time_plot(dataset_names, subset_prop_list, num_of_trials, re
# fig.suptitle('Evolution time vs Best fitness') # fig.suptitle('Evolution time vs Best fitness')
fig.subplots_adjust(bottom=0.2, left=0.15, right=0.78) fig.subplots_adjust(bottom=0.2, left=0.15, right=0.78)
plt.savefig(plots_dir_path + 'time_vs_best_fitness.pdf') plt.savefig(plots_dir_path + 'time_vs_best_fitness.pdf', bbox_inches='tight', pad_inches=0.0)
def mean_time_per_gen(dataset_names, subset_prop_list, num_of_trials, results_dir_path, plots_dir_path): def mean_time_per_gen(dataset_names, subset_prop_list, num_of_trials, results_dir_path, plots_dir_path):
# Create figure and set size # Create figure and set size
...@@ -207,7 +207,7 @@ def mean_time_per_gen(dataset_names, subset_prop_list, num_of_trials, results_di ...@@ -207,7 +207,7 @@ def mean_time_per_gen(dataset_names, subset_prop_list, num_of_trials, results_di
ax.set_xlabel('Subset proportion (\%)') ax.set_xlabel('Subset proportion (\%)')
ax.legend() ax.legend()
plt.savefig(plots_dir_path + 'mean_time_per_gen.pdf', bbox_inches='tight') plt.savefig(plots_dir_path + 'mean_time_per_gen.pdf', bbox_inches='tight', pad_inches=0.0)
def acc_distribution_histograms_plot(dataset_names, subset_prop_list, results_dir_path, plots_dir_path): def acc_distribution_histograms_plot(dataset_names, subset_prop_list, results_dir_path, plots_dir_path):
# Create figure and set size # Create figure and set size
...@@ -237,7 +237,7 @@ def acc_distribution_histograms_plot(dataset_names, subset_prop_list, results_di ...@@ -237,7 +237,7 @@ def acc_distribution_histograms_plot(dataset_names, subset_prop_list, results_di
fig.suptitle('Distribution of \(ACC\) for random balanced subsets - \n 10000 trials per subset proportion') fig.suptitle('Distribution of \(ACC\) for random balanced subsets - \n 10000 trials per subset proportion')
plt.tight_layout() plt.tight_layout()
plt.savefig(plots_dir_path + 'acc_distribution.pdf', bbox_inches='tight') plt.savefig(plots_dir_path + 'acc_distribution.pdf', bbox_inches='tight', pad_inches=0.0)
def violin_acc_plot(dataset_names, subset_prop_list, num_of_trials, results_dir_path, plots_dir_path): def violin_acc_plot(dataset_names, subset_prop_list, num_of_trials, results_dir_path, plots_dir_path):
# Create figure and set size # Create figure and set size
...@@ -362,7 +362,7 @@ def violin_acc_plot(dataset_names, subset_prop_list, num_of_trials, results_dir_ ...@@ -362,7 +362,7 @@ def violin_acc_plot(dataset_names, subset_prop_list, num_of_trials, results_dir_
ax[1].set_yticklabels([]) ax[1].set_yticklabels([])
# fig.suptitle('Distributions of \(ACC\) values for multiple subset proportions') # fig.suptitle('Distributions of \(ACC\) values for multiple subset proportions')
plt.tight_layout() plt.tight_layout()
plt.savefig(plots_dir_path + 'acc_distribution_violin_plot.pdf', bbox_inches='tight') plt.savefig(plots_dir_path + 'acc_distribution_violin_plot.pdf', bbox_inches='tight', pad_inches=0.0)
def incremental_learning_plot(dataset_names, memory_size_list, num_of_trials, results_dir_path, plots_dir_path): def incremental_learning_plot(dataset_names, memory_size_list, num_of_trials, results_dir_path, plots_dir_path):
seq_types = ['low', 'high'] seq_types = ['low', 'high']
...@@ -442,4 +442,4 @@ def incremental_learning_plot(dataset_names, memory_size_list, num_of_trials, r ...@@ -442,4 +442,4 @@ def incremental_learning_plot(dataset_names, memory_size_list, num_of_trials, r
plt.legend(labels=labels, handles=handles) plt.legend(labels=labels, handles=handles)
# fig.suptitle('Class-incremental learning under memory constraints') # fig.suptitle('Class-incremental learning under memory constraints')
plt.tight_layout() plt.tight_layout()
plt.savefig(plots_dir_path + 'incremental_learning_plot.pdf', bbox_inches='tight') plt.savefig(plots_dir_path + 'incremental_learning_plot.pdf', bbox_inches='tight', pad_inches=0.0)
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