сделан анализ данных

ProninVV/aufgabe-1-data-structures/graphiki.py

@@ -1,4 +1,7 @@
 import pandas as pd
+import glob
+import re
+import os
 import matplotlib.pyplot as plt
 from matplotlib.ticker import AutoMinorLocator
 import numpy as np
@@ -7,17 +10,42 @@ from scipy.optimize import curve_fit
 from numpy.polynomial import Polynomial
 
 
-df = pd.read_csv("timedata_500.csv")
+folder_path = 'results' 
-print(df)
+
+# 2. Список размеров (500, 1000, 2000, 5000, 10000)
+sizes = ['500', '1000', '2000', '5000', '10000']
+
+for size in sizes:
+    files = glob.glob(os.path.join(folder_path, f'timedata_{size}_epochs_*.csv'))
+    
+    if not files:
+        continue
+
+    # Читаем файлы
+    dfs = [pd.read_csv(f) for f in files]
+    
+    # 1. Определяем, какие колонки текстовые (не числовые)
+    # Предполагаем, что во всех файлах они одинаковые
+    text_cols = dfs[0].select_dtypes(exclude=['number']).columns.tolist()
+    
+    # 2. Объединяем и считаем среднее
+    # Группируем по текстовым колонкам, чтобы они остались в результате
+    if text_cols:
+        combined = pd.concat(dfs)
+        mean_df = combined.groupby(text_cols).mean().reset_index()
+    else:
+        # Если текста нет, просто среднее по строкам
+        mean_df = pd.concat(dfs).groupby(level=0).mean()
 
    
+    output_name = f'average_timedata_{size}.csv'
+    mean_df.to_csv(os.path.join(folder_path, output_name), index=False)
+    print(f"Файл {output_name} успешно создан")
 
 # построение графика
 # fig, ax = plt.subplots(figsize=(8, 5))
 
 
-
-
 # ax.set_title("График зависимости фазы от частоты(сх5)")
 # ax.set_xlabel("v, Hz")        
 # ax.set_ylabel("phi, rad")

ProninVV/aufgabe-1-data-structures/results/average_timedata_1000.csv

@@ -0,0 +1,19 @@
+Структура,Режим,Операция,Время (сек)
+bintree,shuffled,delete,7.1253333317145e-05
+bintree,shuffled,find,0.00013709333328122667
+bintree,shuffled,insert,0.00207977333326802
+bintree,sorted,delete,0.004027406666697627
+bintree,sorted,find,0.008272293333326707
+bintree,sorted,insert,0.12546639333337828
+hashtable,shuffled,delete,0.00012531333333446666
+hashtable,shuffled,find,0.00018659333342529335
+hashtable,shuffled,insert,0.0021367066666243334
+hashtable,sorted,delete,0.00012610666664531332
+hashtable,sorted,find,0.00017989333330958
+hashtable,sorted,insert,0.0020845666666142264
+linklist,shuffled,delete,0.0014374400000330134
+linklist,shuffled,find,0.0026490666666783135
+linklist,shuffled,insert,0.027241586666680903
+linklist,sorted,delete,0.0016270466666658602
+linklist,sorted,find,0.0025114866666474866
+linklist,sorted,insert,0.02720876666670236

ProninVV/aufgabe-1-data-structures/results/average_timedata_10000.csv

@@ -0,0 +1,19 @@
+Структура,Режим,Операция,Время (сек)
+bintree,shuffled,delete,9.902666667279779e-05
+bintree,shuffled,find,0.0001944666667137333
+bintree,shuffled,insert,0.03110178666661335
+bintree,sorted,delete,0.04493390000003876
+bintree,sorted,find,0.08307538000003656
+bintree,sorted,insert,13.248167193333348
+hashtable,shuffled,delete,0.0009765399999347067
+hashtable,shuffled,find,0.0015001800000693933
+hashtable,shuffled,insert,0.1658438800000264
+hashtable,sorted,delete,0.00089762666668012
+hashtable,sorted,find,0.0014446866666578669
+hashtable,sorted,insert,0.16466330666664053
+linklist,shuffled,delete,0.016608193333286114
+linklist,shuffled,find,0.028897673333312873
+linklist,shuffled,insert,2.859923846666667
+linklist,sorted,delete,0.0175646400000611
+linklist,sorted,find,0.031122179999980872
+linklist,sorted,insert,3.049302733333343