From a595934b48cbabe10827fcef3faf7d9fdddca70f Mon Sep 17 00:00:00 2001 From: Nicholas Landry Date: Tue, 23 Apr 2024 16:49:03 -0400 Subject: [PATCH] Add plotting details (#34) * switch to auroc * sticking with AUPRC --- Figures/Fig1/fig1.pdf | Bin 54974 -> 54974 bytes Figures/Fig2/fig2.pdf | Bin 115644 -> 114854 bytes Figures/Fig2/fig2.png | Bin 1003426 -> 995131 bytes Figures/Fig3/fig3.pdf | Bin 22432 -> 21048 bytes Figures/Fig3/fig3.png | Bin 1057751 -> 1050541 bytes Figures/Fig4/fig4.pdf | Bin 629337 -> 629337 bytes Figures/Fig5/fig5.pdf | Bin 116256 -> 115467 bytes Figures/Fig5/fig5.png | Bin 1003644 -> 995309 bytes plot_fig1.py | 2 +- plot_fig2.py | 8 +++++--- plot_fig3.py | 5 ++--- plot_fig4.py | 6 +++--- plot_fig5.py | 8 +++++--- 13 files changed, 16 insertions(+), 13 deletions(-) diff --git a/Figures/Fig1/fig1.pdf b/Figures/Fig1/fig1.pdf index 2f41e8196e06884911c86f05b6d6ffabe78cb7e8..e5e622163552790087794f91714496809d01bf62 100644 GIT binary patch delta 23 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zl2f`i3efn2%abL@A-tPQ>N&od=NQlj>l4#Se`nKvHm1fYg^B>L_%reTz0WFIwik`5 zN9RJusXIa6*vN=l3W|Uf9g+{e?B){f_v|N&9YE$Tg@QK!w~Vm=y4MXgfA9A~YzwU)kl@dB;>Gtb0x`}3E;hWq$pQmLpn+Z?GE zLo+8PdW{j{*GWuaA*FXc+X7yk0;;E#?c2cM|N jfBrwEoK=<`9@R5)UfcYLteThNWiFa$Zj>}<)j$6i3Dc8^ diff --git a/plot_fig1.py b/plot_fig1.py index 4bda855..eb4faab 100644 --- a/plot_fig1.py +++ b/plot_fig1.py @@ -304,7 +304,7 @@ cbar_ax = fig.add_axes([0.91, 0.15, 0.015, 0.31]) # x, y, width, height cbar = plt.colorbar(c, cax=cbar_ax) -cbar.set_label(r"AUPRC", fontsize=axislabel_fontsize, rotation=270, labelpad=10) +cbar.set_label(measure.upper(), fontsize=axislabel_fontsize, rotation=270, labelpad=10) cbar_ax.set_yticks([0, 1], [0, 1], fontsize=tick_fontsize) plt.savefig("Figures/Fig1/fig1.png", dpi=1000) diff --git a/plot_fig2.py b/plot_fig2.py index 215d5be..b552d04 100644 --- a/plot_fig2.py +++ b/plot_fig2.py @@ -10,6 +10,8 @@ axis_limits = [0, 1] +measure = "auprc" + fs.set_fonts() fs.set_colors() cmap = fs.cmap @@ -85,7 +87,7 @@ def visualize_networks(i, ax): var = np.array(data[keys[i]], dtype=float) b = np.array(data["beta"], dtype=float) - performance = np.array(data["auprc"], dtype=float) + performance = np.array(data[measure], dtype=float) # plot the difference in auprc mean_difference = performance[1].mean(axis=2).T - performance[0].mean(axis=2).T @@ -139,12 +141,12 @@ def visualize_networks(i, ax): cbar_ax1 = fig.add_axes([0.85, 0.4, 0.015, 0.25]) cbar = fig.colorbar(im1, cax=cbar_ax1) -cbar.set_label(r"$ \Delta \,\mathregular{AUPRC}$", rotation=270, labelpad=10) +cbar.set_label(rf"$\Delta$ {measure.upper()}", rotation=270, labelpad=10) cbar_ax1.set_yticks([-0.5, 0, 0.5]) cbar_ax2 = fig.add_axes([0.86, 0.1, 0.015, 0.25]) cbar = fig.colorbar(im2, cax=cbar_ax2) -cbar.set_label(r"$\Delta\, \phi(\rho)$", rotation=270, labelpad=10) +cbar.set_label(r"$\Delta\, \phi_{\rho}$", rotation=270, labelpad=10) cbar_ax2.set_yticks([-0.5, 0, 0.5]) for i, m in enumerate(models): diff --git a/plot_fig3.py b/plot_fig3.py index 5a04d80..75bdfc3 100644 --- a/plot_fig3.py +++ b/plot_fig3.py @@ -97,10 +97,9 @@ plt.yticks([-0.2, -0.1, 0, 0.1, 0.2]) plt.legend(frameon=False, loc="upper left") -plt.ylabel(r"$\Delta\,\phi(a_{ij})$") -plt.xlabel(r"$t_{\mathregular{max}}$") +plt.ylabel(r"$\Delta\,\phi_i$") +plt.xlabel(r"$t_{\max}$") sns.despine() - plt.tight_layout() plt.savefig("Figures/Fig3/fig3.png", dpi=1000) diff --git a/plot_fig4.py b/plot_fig4.py index e4c415e..3284929 100644 --- a/plot_fig4.py +++ b/plot_fig4.py @@ -8,7 +8,7 @@ import fig_settings as fs from lcs import * -metric_name = "auprc" +measure = "auprc" axis_limits = [0, 1] axislabel_fontsize = 20 @@ -110,7 +110,7 @@ def visualize_networks(i, ax): data = json.load(file) var = np.array(data[keys[i]], dtype=float) b = np.array(data["beta"], dtype=float) - recovery_metric = np.array(data[metric_name], dtype=float) + recovery_metric = np.array(data[measure], dtype=float) if convert_to_log[i]: var = np.log10(var) @@ -143,7 +143,7 @@ def visualize_networks(i, ax): cbar_ax = fig.add_axes([0.91, 0.1, 0.015, 0.63]) cbar = fig.colorbar(im, cax=cbar_ax) -cbar.set_label(r"AUPRC", fontsize=axislabel_fontsize, rotation=270, labelpad=25) +cbar.set_label(measure.upper(), fontsize=axislabel_fontsize, rotation=270, labelpad=25) cbar_ax.set_yticks([0, 0.5, 1], [0, 0.5, 1], fontsize=tick_fontsize) for i, m in enumerate(models): diff --git a/plot_fig5.py b/plot_fig5.py index ea327ce..df8c3c6 100644 --- a/plot_fig5.py +++ b/plot_fig5.py @@ -8,6 +8,8 @@ import fig_settings as fs from lcs import * +measure = "auprc" + axis_limits = [0, 1] fs.set_fonts() @@ -89,7 +91,7 @@ def visualize_networks(i, ax): var = np.array(data[keys[i]], dtype=float) b = np.array(data["beta"], dtype=float) - performance = np.array(data["auprc"], dtype=float) + performance = np.array(data[measure], dtype=float) # plot the difference in auprc mean_difference = performance[2].mean(axis=2).T - performance[0].mean(axis=2).T @@ -143,12 +145,12 @@ def visualize_networks(i, ax): cbar_ax1 = fig.add_axes([0.85, 0.4, 0.015, 0.25]) cbar = fig.colorbar(im1, cax=cbar_ax1) -cbar.set_label(r"$\Delta \,\mathregular{AUPRC}$", rotation=270, labelpad=10) +cbar.set_label(rf"$\Delta$ {measure.upper()}", rotation=270, labelpad=10) cbar_ax1.set_yticks([-0.5, 0, 0.5]) cbar_ax2 = fig.add_axes([0.85, 0.1, 0.015, 0.25]) cbar = fig.colorbar(im2, cax=cbar_ax2) -cbar.set_label(r"$\Delta\, \phi(\rho)$", rotation=270, labelpad=10) +cbar.set_label(r"$\Delta\, \phi_{\rho}$", rotation=270, labelpad=10) cbar_ax2.set_yticks([-0.5, 0, 0.5]) for i, m in enumerate(models):

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