From 6331be64121d9b7d4d79727605c8dc3a1a9a5892 Mon Sep 17 00:00:00 2001
From: hasslesstech <hasslesstech@tutanota.com>
Date: Sat, 31 Oct 2026 23:36:28 +0200
Subject: [PATCH] lab4-rc1

---
 graph.py | 101 +++++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 101 insertions(+)
 create mode 100644 graph.py

diff --git a/graph.py b/graph.py
new file mode 100644
index 0000000..5c7032e
--- /dev/null
+++ b/graph.py
@@ -0,0 +1,101 @@
+#import numpy as np
+from matplotlib import pyplot as plt
+
+for i in range(1, 4):
+    exec(f"data{i} = list(zip(*[x for x in [[float(j) for j in k.strip().split(',')] for k in open(\"data{i}.csv\").read().split(\"\\n\")[1:] if k] if x[1] <= 1200]))")
+
+'''
+print(data1)
+print(data2)
+print(data3)
+'''
+
+'''
+for i in range(5):
+    title = "S,D,D_avg,T,C".split(',')[i]
+    plt.cla()
+    plt.figure(figsize = (17/1.3, 11.2/1.3))
+    plt.title(title)
+    plt.plot(data1[1], data1[i+3])
+    plt.plot(data2[1], data2[i+3])
+    plt.plot(data3[1], data3[i+3])
+    plt.legend(labels = ["Кільце", "Дерево", "Решітка"])
+    plt.xlim(0, 1100)
+    plt.tight_layout()
+    plt.show()
+    #plt.savefig(f"diagram-{title}.svg", format = 'svg')
+'''
+
+splits = 0, 55, 240, 1100
+
+
+vsss = []
+smas = []
+for i in range(3):
+    def get_avgs(d):
+        s = tuple(zip(*[j for j in zip(*d) if j[1] >= splits[i] and j[1] < splits[i+1]]))
+        vs = []
+        for v in range(5):
+            vs.append(sum(s[v+3]) / len(s[v+3]))
+            print(round(vs[-1], 7), end = " ")
+
+        print()
+
+        return vs
+
+    vss = []
+    print(f"Range {splits[i]}-{splits[i+1]}")
+    for x in range(3):
+        exec(f"vss.append(get_avgs(data{x+1}))")
+
+    vals = list(zip(*vss))
+    print("Normed:")
+    t = []
+    for v in vals:
+        m = min(v)
+#        if (m < 1.0):
+#            v = [(2 - x) for x in v]
+#            m = min(v)
+#
+#            t.append([x / m for x in v])
+#            print([round(x, 5) for x in t[-1]])
+#        else:
+        t.append([x / m for x in v])
+        print([round(x, 5) for x in t[-1]])
+
+
+    t = zip(*t)
+    print("Sigmas:")
+    smas.append([])
+    for v in t:
+        smas[-1].append(sum(v))
+        print(round(smas[-1][-1], 5), end = " ")
+
+    print()
+    print()
+
+    vsss.append(vss)
+
+#tsas = []
+#colors = ['#1133FF', '#22DD33', '#EE6611']
+#for i, c in zip(zip(*smas), colors):
+    #tsas += i
+#    plt.grouped_bar([f"Діапазон {i+1}" for i in range(3)], i, color = c)
+
+#tsas = tuple(zip(*smas))
+dsas = {i:v for i, v in zip([f"Діапазон {i+1}" for i in range(3)], smas)}
+print(dsas)
+plt.cla()
+plt.figure(figsize = (17/1.4, 17/1.4))
+plt.grouped_bar(dsas, bar_spacing = 0.25, tick_labels = ["Кільце", "Дерево", "Решітка"])
+plt.legend()
+plt.tight_layout()
+#plt.show()
+plt.savefig("histogram.svg", format = "svg")
+
+
+#plt.grouped_bar({i:v for i, v in zip([f"Діапазон {i+1}" for i in range(3)], smas)}, colors = colors)
+
+
+#plt.show()
+#print(tsas)