forked from UNN/2026-rff_mp
56 lines
1.3 KiB
Python
56 lines
1.3 KiB
Python
import csv
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import os
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import matplotlib.pyplot as plt
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data = []
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with open("docs/data/results.csv", "r", encoding="utf-8") as file:
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reader = csv.DictReader(file)
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for row in reader:
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data.append(row)
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def get_average(structure, order, operation):
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for row in data:
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if (
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row["structure"] == structure
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and row["order"] == order
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and row["operation"] == operation
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):
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return float(row["average"])
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return 0
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structures = ["LinkedList", "HashTable", "BST"]
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orders = ["random", "sorted"]
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os.makedirs("docs/data", exist_ok=True)
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for operation in ["insert", "find", "delete"]:
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random_values = [
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get_average(s, "random", operation)
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for s in structures
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]
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sorted_values = [
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get_average(s, "sorted", operation)
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for s in structures
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]
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x = range(len(structures))
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plt.figure()
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plt.bar([i - 0.2 for i in x], random_values, width=0.4, label="random")
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plt.bar([i + 0.2 for i in x], sorted_values, width=0.4, label="sorted")
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plt.xticks(list(x), structures)
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plt.ylabel("Time, seconds")
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plt.title(operation.capitalize() + " time")
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plt.yscale("log")
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plt.legend()
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plt.tight_layout()
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plt.savefig("docs/data/graph_" + operation + ".png")
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plt.close()
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print("Graphs saved to docs/data/") |