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create_plot.py
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create_plot.py
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import csv
import matplotlib.pyplot as plt
def average(lst: list) -> float:
return sum(lst) / len(lst)
def get_output_files():
return map(lambda x: "output/" + x, ("output1.csv", "output2.csv", "output3.csv"))
def create_size_time_dict():
size_time_dict = {}
for i in get_output_files():
with open(i, "rt") as output_file:
reader = csv.DictReader(output_file, delimiter=':')
for row in reader:
row["size"] = int(row["size"])
if not size_time_dict.get(row["size"]):
size_time_dict[row["size"]] = {
"merge_sort": [],
"selection_sort": []
}
size_time_dict[row["size"]]["merge_sort"].append(float(row["merge_sort"]))
size_time_dict[row["size"]]["selection_sort"].append(float(row["selection_sort"]))
for size in size_time_dict.keys():
size_time_dict[size] = {
'merge_sort': average(size_time_dict[size]['merge_sort']),
'selection_sort': average(size_time_dict[size]['selection_sort'])
}
return size_time_dict
def main():
size_time_dict = create_size_time_dict()
plt.plot(
size_time_dict.keys(),
list(map(lambda x: x[1]["merge_sort"], size_time_dict.items()))
)
plt.plot(
size_time_dict.keys(),
list(map(lambda x: x[1]["selection_sort"], size_time_dict.items()))
)
plt.title("Merge and Selection Sort")
plt.ylabel("time")
plt.xlabel("size array")
plt.show()
if __name__ == '__main__':
main()