From ec5c9a2bef2f74a7918803072920b29279f7b895 Mon Sep 17 00:00:00 2001
From: rubegar <ruben.garcia.vazquez@estudiantes.uva.es>
Date: Wed, 19 Jun 2024 17:56:51 +0000
Subject: [PATCH] Upload New File
---
media.py | 35 +++++++++++++++++++++++++++++++++++
1 file changed, 35 insertions(+)
create mode 100644 media.py
diff --git a/media.py b/media.py
new file mode 100644
index 0000000..5116226
--- /dev/null
+++ b/media.py
@@ -0,0 +1,35 @@
+import csv
+from collections import defaultdict
+
+def calculate_average_elapsed(csv_file):
+ # Diccionario para almacenar la suma y el recuento de "elapsed" para cada "threadName"
+ sums_and_counts = defaultdict(lambda: [0, 0])
+
+ # Leer el archivo CSV
+ with open(csv_file, 'r') as file:
+ reader = csv.DictReader(file)
+
+ # Omitir la primera fila (encabezados)
+ next(reader)
+
+ # Iterar sobre las filas restantes
+ for row in reader:
+ threadName = row['threadName']
+ elapsed = int(row['elapsed'])
+
+ # Actualizar la suma y el recuento para el "threadName" actual
+ sums_and_counts[threadName][0] += elapsed
+ sums_and_counts[threadName][1] += 1
+
+ # Calcular la media de "elapsed" para cada "threadName"
+ averages = {threadName: sums_and_counts[threadName][0] / sums_and_counts[threadName][1] for threadName in sums_and_counts}
+
+ # Escribir los resultados en un nuevo archivo CSV
+ with open('medGrande.csv', 'w', newline='') as file:
+ writer = csv.writer(file)
+ writer.writerow(['threadName', 'average_elapsed'])
+ averages = sorted(averages.items(), key=lambda x: x[0])
+ for threadName, average_elapsed in averages:
+ writer.writerow([threadName, average_elapsed])
+
+calculate_average_elapsed('medidasGrande.csv')
\ No newline at end of file
--
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