From 23e9cc015ebef8641f3b3fd0822d678374d247ce Mon Sep 17 00:00:00 2001
From: liwenyun <lee_wlving@outlook.com>
Date: Sun, 22 Dec 2024 17:25:34 +0800
Subject: [PATCH] =?UTF-8?q?=E6=9B=B4=E6=96=B0=20mse.py?=
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---
 mse.py | 17 +++++++++++------
 1 file changed, 11 insertions(+), 6 deletions(-)

diff --git a/mse.py b/mse.py
index 7c7ab3f..8e73960 100644
--- a/mse.py
+++ b/mse.py
@@ -1,5 +1,8 @@
 import matplotlib.pyplot as plt
 import numpy as np
+import tikzplotlib
+
+# plt.style.use("ggplot")
 
 MCS = [ 'MI-FGSM', 'PGD', 'Adv-\nAttribute', 'Adv-\nDiffusion','TCA$^2$']
 gold_medal = [ 54.82, 49.72, 50.12, 59.28,63.03]
@@ -7,19 +10,21 @@ silver_medal = [ 31.06, 24.57, 18.63, 32.61,36.08]
 
 x = np.arange(len(MCS))
 print(x)
-width = 0.35
+width = 0.4
 gold_x = x
 silver_x = x + width
 plt.bar(gold_x,gold_medal,width=width,color="royalblue", label='Face++')
 plt.bar(silver_x,silver_medal,width=width,color="tomato", label='Aliyun')
 # ​plt.bar(silver_x,silver_medal,width=width,color="silver")
-plt.xticks(x+width, labels=MCS)
+plt.xticks(x+width/2, labels=MCS)
 for i in range(len(MCS)):
-    plt.text(gold_x[i],gold_medal[i], gold_medal[i],va="bottom",ha="center",fontsize=8)
-    plt.text(silver_x[i],silver_medal[i], silver_medal[i],va="bottom",ha="center",fontsize=8)
+    plt.text(gold_x[i],gold_medal[i], gold_medal[i],va="bottom",ha="center",fontsize=10)
+    plt.text(silver_x[i],silver_medal[i], silver_medal[i],va="bottom",ha="center",fontsize=10)
     # plt.text(bronze_x[i],bronze_medal[i], gold_medal[i],va="bottom",ha="center",fontsize=8)  
-plt.legend(loc=2,frameon=False)
-plt.ylabel('Mean Confidence Scores')
+plt.legend(loc=2,frameon=False, fontsize=10)
+plt.ylabel('Mean Confidence Scores', fontsize=10)
+
+# tikzplotlib.save("test.tex")
 plt.show()
 
 # import matplotlib.pyplot as plt