From 750207dc5e86016af13ad8ef8c5ffaa0f178ba33 Mon Sep 17 00:00:00 2001
From: Joerg Martin <joerg.martin@ptb.de>
Date: Thu, 17 Feb 2022 15:12:55 +0100
Subject: [PATCH] First submitted version to NEPL
---
Experiments/plot_coverage_vs_q.py | 10 ++++++++--
1 file changed, 8 insertions(+), 2 deletions(-)
diff --git a/Experiments/plot_coverage_vs_q.py b/Experiments/plot_coverage_vs_q.py
index b464c28..6d578e8 100644
--- a/Experiments/plot_coverage_vs_q.py
+++ b/Experiments/plot_coverage_vs_q.py
@@ -12,6 +12,7 @@ import torch
import torch.backends.cudnn
from torch.utils.data import DataLoader
from matplotlib.pyplot import cm
+import matplotlib
import matplotlib.pyplot as plt
from tqdm import tqdm
@@ -20,6 +21,11 @@ from EIVTrainingRoutines import train_and_store
from EIVGeneral.coverage_collect import get_coverage_distribution
from EIVGeneral.manipulate_datasets import VerticalCut
+font = {'family' : 'DejaVu Sans',
+ 'weight' : 'normal',
+ 'size' : 16}
+
+matplotlib.rc('font', **font)
# coverages to consider
q_range = np.linspace(0.1, 0.95)
@@ -89,9 +95,8 @@ def coverage_diagonal_plot(eiv_coverages, noneiv_coverages, color,
# create figures, together with title and axis labels
plt.figure(1)
plt.clf()
-plt.title('Coverage for datasets with ground truth')
plt.xlabel('q')
-plt.ylabel('coverage')
+plt.ylabel('coverage ground truth')
# datasets to plot and their coloring
datasets = ['linear', 'quadratic','cubic','sine']
@@ -251,5 +256,6 @@ if __name__ == '__main__':
plt.legend()
# save and show
+ plt.tight_layout()
plt.savefig('results/figures/true_coverage_vs_q.pdf')
plt.show()
--
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