Am adaugat materialele din săpt trecute.

python/laborator/lab5.py

@@ -0,0 +1,110 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+Created on Fri Mar 20 14:18:48 2026
+
+@author: alex
+"""
+
+import numpy as np
+
+a = np.array([1,2,3,4,5,6,7,8])
+rez = a[a>5]
+print(rez)
+
+a = np.zeros(7)
+b = np.ones(5)
+c = np.arange(0,15,2)
+print(a, b, c)
+
+d = np.linspace(-2, 2, 9)
+print(d)
+print(len(d))
+
+f = np.arange(-5,6,1)
+print(f)
+
+x = np.array([-3,-2,-1,0,1,2,3])
+print(x+2)
+print(3*x -1)
+print(x**2)
+print(x**2 + 3*x +2)
+print(np.abs(x))
+print(abs(x))
+
+y = np.array([0,1,2,3,4,5])
+print(y*y + 3)
+
+y_1 = y.tolist()
+print([i**2 + 3 for i in y_1])
+
+a = np.array([4,7,2,9,6,2,9])
+print(np.sum(a))
+print(np.mean(a))
+print(f"minimul este {min(a)} la pozitia {np.argmax(a)}; maximul este {max(b)} la pozitia {np.argmin(a)}")
+print(np.where(a == np.min(a)))
+print(np.where(a == np.max(a)))
+print(np.sort(a))
+
+a = np.array([-4,-1,0,2,5,7,8,11])
+print(a[a>0])
+print(a[a%2 == 0])
+print(a[(a >= 0) & (a <= 7)])
+print(a[a > np.mean(a)])
+
+
+c = np.array([12,15,18,21,24,19,16])
+
+f = c *(9/5) + 32
+
+print(f)
+print(np.mean(c))
+print(np.argmax(c))
+print(c - np.mean(c))
+print(c[c > np.mean(c)])
+
+def distanta_fata_de_medie(a):
+    return np.abs((a-np.mean(a)))
+
+a = np.arange(-100,1,10)
+print(a)
+print(distanta_fata_de_medie(a))
+
+def raport_fata_de_max(a):
+    if np.max(a) == 0:
+        return None
+    else:
+        return(a / np.max(a))
+
+print(a)
+print(raport_fata_de_max(a))
+a = np.arange(0,101,10)
+print(a)
+print(raport_fata_de_max(a))
+
+a = np.arange(1,25,3)
+
+def normalizare_0_1(a):
+    if np.max(a) == np.min(a):
+        return a*0
+    else:
+        return((a-np.min(a))/(np.max(a)-np.min(a)))
+
+print(a)
+print(normalizare_0_1(a))
+
+a = np.zeros(20)
+
+print(normalizare_0_1(a))
+
+def este_sortat_crescator(a):
+    b = np.sort(a)
+    if np.array_equal(a,b):
+        print("Sirul este sortat")
+    else:
+        print("Sirul nu este sortat")
+
+ns = np.array([1,200,3,4,22,19])
+este_sortat_crescator(ns)
+s = np.arange(1,10)
+este_sortat_crescator(s)