diff --git a/docs/Figure_1.png b/docs/Figure_1.png
new file mode 100644
index 0000000..99558ab
Binary files /dev/null and b/docs/Figure_1.png differ
diff --git a/bm.csv b/docs/bm.csv
similarity index 100%
rename from bm.csv
rename to docs/bm.csv
diff --git a/docs/plot.py b/docs/plot.py
index a74f623..f7800c4 100644
--- a/docs/plot.py
+++ b/docs/plot.py
@@ -1,22 +1,13 @@
 import numpy as np
 import matplotlib.pyplot as plt
 import pandas as pd
-[
-    {"threads": "32, 16",  "Contour Extractor": 106.0405707359314,  "Layer Factory": 0.5175004005432129, "Layer Manager": 1.4864997863769531, "Exporter": 34.591999769210815},
-    {"threads": "1, 1",    "Contour Extractor": 463.66750025749207, "Layer Factory": 0.5290005207061768, "Layer Manager": 1.551999807357788,  "Exporter": 34.5339994430542},
-    {"threads": "1, 4",    "Contour Extractor": 193.51898574829102, "Layer Factory": 0.5249984264373779, "Layer Manager": 1.5125021934509277, "Exporter": 35.06749963760376},
-    {"threads": "4, 4",    "Contour Extractor": 186.46951842308044, "Layer Factory": 0.5295009613037109, "Layer Manager": 1.545145034790039,  "Exporter": 34.260000705718994},
-    {"threads": "4, 8",    "Contour Extractor": 126.90402793884277, "Layer Factory": 0.5275006294250488, "Layer Manager": 1.536078929901123,  "Exporter": 34.61099886894226},
-    {"threads": "16, 16",  "Contour Extractor": 109.17592716217041, "Layer Factory": 0.4179983139038086, "Layer Manager": 1.5620002746582031, "Exporter": 33.80550146102905},
-    
-]
-x = {
-    "threads":["1, 1","1, 4","4, 4","4, 8","16, 16", "32, 16"],
-    "Contour Extraction":[ 463.66750025749207, 193.51898574829102,186.46951842308044,126.90402793884277,109.17592716217041,106.0405707359314],
-}
+import os
 
-df = pd.DataFrame.from_dict(x)
-ax = df.plot.bar(x="threads", title="Benötigte Zeit für Konturenextraktion mit unterschiedlicher Anzahlen von Threads", figsize=(10,4))
-ax.set_xlabel("Threads für Durchschnittsbildung | Threads für Differenzberechnung")
-ax.set_ylabel("Zeit in Sekunden")
+data = pd.read_csv(os.path.join(os.path.dirname(__file__), "bm.csv")) 
+data = data.drop(columns=['total'])
+data = data.set_index(["ce_average_threads", "ce_comp_threads", "lf_threads", "videoBufferLength"])
+
+labels = [f"{row[0]}, {row[1]}, {row[2]}, {row[3]}" for row in data.values]
+data.plot.barh(stacked=True, label=labels)
 plt.show()
+print(data)
\ No newline at end of file