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Add execution time meand and standard deviation

This commit is contained in:
coolneng 2021-04-20 13:53:24 +02:00
parent b8b812d011
commit 5b63b993df
Signed by: coolneng
GPG Key ID: 9893DA236405AF57
1 changed files with 23 additions and 11 deletions
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34
src/execution.py
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@ -14,33 +14,41 @@ def file_list(path):
def create_dataframes():
greedy = DataFrame(columns=["dataset", "distancia", "desviacion"])
local = DataFrame(columns=["dataset", "distancia", "desviacion"])
greedy = DataFrame()
local = DataFrame()
return greedy, local
def process_output(results):
distances = []
time = []
for element in results:
for line in element:
if line.startswith(bytes("Total distance:", encoding="utf-8")):
line_elements = line.split(sep=bytes(":", encoding="utf-8"))
distances.append(float(line_elements[1]))
return distances
if line.startswith(bytes("Execution time:", encoding="utf-8")):
line_elements = line.split(sep=bytes(":", encoding="utf-8"))
time.append(float(line_elements[1]))
return distances, time
def populate_dataframes(greedy, local, greedy_list, local_list, dataset):
greedy_results = process_output(greedy_list)
local_results = process_output(local_list)
greedy_distances, greedy_time = process_output(greedy_list)
local_distances, local_time = process_output(local_list)
greedy_dict = {
"dataset": dataset.removeprefix("data/"),
"distancia": mean(greedy_results),
"desviacion": std(greedy_results),
"media distancia": mean(greedy_distances),
"desviacion distancia": std(greedy_distances),
"media tiempo": mean(greedy_time),
"desviacion tiempo": std(greedy_time),
}
local_dict = {
"dataset": dataset.removeprefix("data/"),
"distancia": mean(local_results),
"desviacion": std(local_results),
"media distancia": mean(local_distances),
"desviacion distancia": std(local_distances),
"media tiempo": mean(local_time),
"desviacion tiempo": std(local_time),
}
greedy = greedy.append(greedy_dict, ignore_index=True)
local = local.append(local_dict, ignore_index=True)
@ -76,13 +84,17 @@ def export_results(greedy, local):
worksheet = writer.sheets[name]
for index, column in enumerate(df):
series = df[column]
max_length = series.astype(str).str.len().max()
max_length = max(series.astype(str).str.len().max(), len(str(series.name)))
worksheet.set_column(index, index, width=max_length + 5)
writer.save()
if __name__ == "__main__":
def main():
datasets = file_list(path="data/*.txt")
greedy, local = create_dataframes()
populated_greedy, populated_local = script_execution(datasets, greedy, local)
export_results(populated_greedy, populated_local)
if __name__ == "__main__":
main()