Adapt plots to PACMNET formatting

anr-bmbf-pivot · Jul 17, 2023 · de128f1 · de128f1
1 parent 6474ea7
commit de128f1
Show file tree

Hide file tree

Showing 73 changed files with 107,700 additions and 105,015 deletions.
diff --git a/03-dns-empirical/plot/mlenders_acm.mplstyle b/03-dns-empirical/plot/mlenders_acm.mplstyle
@@ -7,10 +7,10 @@ axes.titlesize : medium
 axes.labelpad : 0.25
 axes.labelsize : small
 figure.facecolor : none
+# @ columnwidth / 2
+figure.figsize : 2.739035, 1.5
 # @ columnwidth
-figure.figsize : 3.3374, 1.5
-# @ textwidth
-# figure.figsize : 7.00697, 1.5
+# figure.figsize : 5.47807, 1.5
 figure.subplot.hspace : 0.005
 figure.subplot.wspace : 0.005
 font.family : serif

diff --git a/03-dns-empirical/plot/plot_iot_data_name_lens.py b/03-dns-empirical/plot/plot_iot_data_name_lens.py
@@ -93,7 +93,7 @@ def main():
     args = parser.parse_args()
     matplotlib.style.use(os.path.join(pc.SCRIPT_PATH, args.style_file))
     matplotlib.rcParams["figure.figsize"] = (
-        matplotlib.rcParams["figure.figsize"][0] * 0.58,
+        matplotlib.rcParams["figure.figsize"][0],
         matplotlib.rcParams["figure.figsize"][1] * 0.7,
     )
     args.iot_data_csvs = sorted(set(args.iot_data_csvs))
@@ -140,7 +140,7 @@ def main():
             facecolor="#80b1d3",
         )
         matplotlib.pyplot.gca().set_axisbelow(True)
-        matplotlib.pyplot.xticks(numpy.arange(0, 86, 10))
+        matplotlib.pyplot.xticks(numpy.arange(0, 86, 5))
         matplotlib.pyplot.xlim((0, 85))
         matplotlib.pyplot.xlabel("Name length [characters]")
         matplotlib.pyplot.ylim((0, 0.08))

diff --git a/03-dns-empirical/plot/plot_iot_data_resp_lens.py b/03-dns-empirical/plot/plot_iot_data_resp_lens.py
@@ -78,7 +78,7 @@ def main():
         ax = matplotlib.pyplot.gca()
         ax.xaxis.set_minor_locator(matplotlib.ticker.MultipleLocator(10))
         ax.yaxis.set_minor_locator(matplotlib.ticker.MultipleLocator(0.01))
-        matplotlib.pyplot.xticks(numpy.arange(0, 1501, 100))
+        matplotlib.pyplot.xticks(numpy.arange(0, 1501, 50))
         matplotlib.pyplot.yticks(numpy.arange(0, 0.2, 0.1))
         # label only every other major locator
         for i, label in enumerate(ax.xaxis.get_ticklabels()):

diff --git a/03-dns-empirical/plot/plot_iot_data_sec_counts.py b/03-dns-empirical/plot/plot_iot_data_sec_counts.py
@@ -109,7 +109,7 @@ def main():
             del section
         del df
         matplotlib.pyplot.legend(loc="upper right", ncol=2)
-        matplotlib.pyplot.xticks(numpy.arange(0, 31, 3))
+        matplotlib.pyplot.xticks(numpy.arange(0, 31, 2))
         matplotlib.pyplot.xlim((0, 30))
         matplotlib.pyplot.xlabel(r"Section size [\#entries]")
         matplotlib.pyplot.ylim((-0.01, 1.01))

diff --git a/05-06-evaluation/results/2022-02-17-baseline-results/doc-eval-baseline-5.0-A.pdf b/05-06-evaluation/results/2022-02-17-baseline-results/doc-eval-baseline-5.0-A.pdf