diff --git a/media.py b/media.py
deleted file mode 100644
index fcafc5c44442cb163f46a6f3ef45cc288187c719..0000000000000000000000000000000000000000
--- a/media.py
+++ /dev/null
@@ -1,35 +0,0 @@
-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('medPeque.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('medidasPeque.csv')
\ No newline at end of file