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Author: ElizaLo

NumPy.py

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+import numpy as np
+import time
+import sys
+
+
+a = np.array([1,2,3])
+print(a)
+
+b = np.array([[1,2,3], [4,5,6]])
+print(b)
+
+S = range(1000)
+print(S)
+print(sys.getsizeof(5)*len(S)) # List - size of one element multiplied by the number of all elements, so we got the size of all elements
+print(sys.getsizeof(5)) #size of one element
+
+D = np.arange(1000)
+print(D.size * D.itemsize) # NumPy - size of one element multiplied by the number of all elements, so we got the size of all elements
+
+SIZE = 1000000
+L1 = range(SIZE)
+L2 = range(SIZE)
+
+A1 = np.arange(SIZE)
+A2 = np.arange(SIZE)
+
+start = time.time()
+result = [(x,y) for x,y in zip(L1, L2)]
+
+print ((time.time() - start) * 1000 ) #runtime of List
+
+start = time.time()
+result = A1 + A2
+
+print ((time.time() - start) * 1000 ) #runtime of Numpy
+
+
+a = np.array([(1,2,3),(2,3,4)])
+print(a.ndim) #dimention of array
+print(a.itemsize) #byte size of each element
+print(a.dtype) #data type
+print(a.size) #size of array
+print(a.shape) #shape of array
+a = a.reshape(3, 2) #reshape into 3 rows and 2 collums
+print(a)
+
+a = np.array([(1,2,3),(2,3,4),(5,6,8)])
+print(a[0:2,1]) #slicing
+
+a = np.linspace(1,3,10) #slicing
+print(a)
+
+a = np.array([(1,2,3),(2,3,4),(5,6,8)])
+print(a.max())
+print(a.min())
+print(a.sum())