diff --git a/code/modules/plotstyle.py b/code/modules/plotstyle.py index b4a8a41..61aedcc 100644 --- a/code/modules/plotstyle.py +++ b/code/modules/plotstyle.py @@ -108,9 +108,10 @@ def PlotStyle() -> None: @classmethod def set_boxplot_color(cls, bp, color): plt.setp(bp["boxes"], color=color) - plt.setp(bp["whiskers"], color=color) - plt.setp(bp["caps"], color=color) - plt.setp(bp["medians"], color=color) + plt.setp(bp["whiskers"], color=white) + plt.setp(bp["caps"], color=white) + plt.setp(bp["medians"], color=white) + @classmethod def label_subplots(cls, labels, axes, fig): diff --git a/code/plot_chirp_size.py b/code/plot_chirp_size.py index 36a1f94..bc8c3d5 100644 --- a/code/plot_chirp_size.py +++ b/code/plot_chirp_size.py @@ -243,7 +243,6 @@ def main(datapath: str): size_chirps_loser.append(chirp_loser) - embed() size_winner_pearsonr = pearsonr(size_diffs_winner, size_chirps_winner ) size_loser_pearsonr = pearsonr(size_diffs_loser, size_chirps_loser ) @@ -254,9 +253,11 @@ def main(datapath: str): scatterloser = 1.85 chirps_winner = np.asarray(chirps_winner)[~np.isnan(chirps_winner)] chirps_loser = np.asarray(chirps_loser)[~np.isnan(chirps_loser)] + bplot1 = ax1.boxplot(chirps_winner, positions=[ 1], showfliers=False, patch_artist=True) + bplot2 = ax1.boxplot(chirps_loser, positions=[ 2], showfliers=False, patch_artist=True) ax1.scatter(np.ones(len(chirps_winner)) * @@ -276,11 +277,12 @@ def main(datapath: str): ps.set_boxplot_color(bplot1, colors1) colors1 = ps.orange ps.set_boxplot_color(bplot2, colors1) + ax2.scatter(size_diffs_winner, size_chirps_winner, color=ps.red) ax2.scatter(size_diffs_loser, size_chirps_loser, color=ps.orange) ax2.set_xlabel('Size difference [cm]') - + ax2.set_xticks(np.arange(-10, 10.1, 2)) # pearson r plt.savefig('../poster/figs/chirps_winner_loser.pdf') plt.show() diff --git a/poster/figs/chirps_winner_loser.pdf b/poster/figs/chirps_winner_loser.pdf index 58b5045..d38726b 100644 Binary files a/poster/figs/chirps_winner_loser.pdf and b/poster/figs/chirps_winner_loser.pdf differ