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plotting

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Askill 2020-12-22 11:57:02 +01:00
parent 6d54338dd7
commit b9ef9155e0
3 changed files with 8 additions and 17 deletions
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bm.csv → docs/bm.csv
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docs/plot.py
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import numpy as np import numpy as np
import matplotlib.pyplot as plt import matplotlib.pyplot as plt
import pandas as pd import pandas as pd
[ import os
{"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],
}
df = pd.DataFrame.from_dict(x) data = pd.read_csv(os.path.join(os.path.dirname(__file__), "bm.csv"))
ax = df.plot.bar(x="threads", title="Benötigte Zeit für Konturenextraktion mit unterschiedlicher Anzahlen von Threads", figsize=(10,4)) data = data.drop(columns=['total'])
ax.set_xlabel("Threads für Durchschnittsbildung | Threads für Differenzberechnung") data = data.set_index(["ce_average_threads", "ce_comp_threads", "lf_threads", "videoBufferLength"])
ax.set_ylabel("Zeit in Sekunden")
labels = [f"{row[0]}, {row[1]}, {row[2]}, {row[3]}" for row in data.values]
data.plot.barh(stacked=True, label=labels)
plt.show() plt.show()
print(data)