From af7933c34b51603ad9ff0c25b942de5163c45512 Mon Sep 17 00:00:00 2001
From: Hu Zhao <zhao@mbd.rwth-aachen.de>
Date: Fri, 9 Dec 2022 00:12:39 +0100
Subject: [PATCH] docs: use tight layout for plots
---
docs/examples/emulator/robustgasp/plot_scalargasp.py | 7 +++++--
1 file changed, 5 insertions(+), 2 deletions(-)
diff --git a/docs/examples/emulator/robustgasp/plot_scalargasp.py b/docs/examples/emulator/robustgasp/plot_scalargasp.py
index cbb5a65..7e0b589 100644
--- a/docs/examples/emulator/robustgasp/plot_scalargasp.py
+++ b/docs/examples/emulator/robustgasp/plot_scalargasp.py
@@ -30,8 +30,8 @@ emulator = ScalarGaSP(ndim=1)
# %% md
#
# Given training input points ``design`` and corresponding output values ``response``,
-# the emulator can be trained. Below we train an emulator using :math:`8` selected
-# points.
+# the emulator can be trained using :py:meth:`.ScalarGaSP.train`. Below we train
+# an emulator using :math:`8` selected points.
import numpy as np
@@ -68,6 +68,7 @@ ax.set_ylim(np.min(y)-1,np.max(y)+1)
_ = ax.plot([np.min(y)-1,np.max(y)+1], [np.min(y)-1,np.max(y)+1])
_ = ax.errorbar(y, validation[:,0], validation[:,1], fmt='.', linestyle='', label='prediction and std')
_ = plt.legend()
+plt.tight_layout()
# %% md
@@ -89,6 +90,7 @@ plt.xlabel('x')
plt.ylabel('emulator-predicted y')
plt.xlim(testing_input[0], testing_input[-1])
_ = plt.legend()
+plt.tight_layout()
# %% md
#
@@ -108,6 +110,7 @@ plt.xlabel('x')
plt.ylabel('emulator-predicted y')
plt.xlim(testing_input[0], testing_input[-1])
_ = plt.legend()
+plt.tight_layout()
# %% md
--
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