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Introduction to Numpy: Array Creation
Introduction to Numpy
Introduction to Numpy
Array Creation
Array Inspection
Mathematical Operation
Array Indexing and Slicing
Numpy for Matrix Operators
Linear Algebra
Array Creation: Program 1
Creating 1D array
import numpy as np arr = np.array([1, 2, 3, 4, 5, 6, 7, 8]) print("1D Array:", arr)
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Output 1
Array Creation: Program 2
Creating 2D array
import numpy as np arr = np.array([[1, 2, 3], [4, 5, 6]]) print("2D Array:\n", arr)
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Output 2
Array Creation: Program 3
Array of zeros
import numpy as np arr = np.zeros((3, 4)) print("Array of Zeros:\n", arr)
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Output 3
Array Creation: Program 4
Array of Ones
import numpy as np A = np.ones((2, 3)) print("Array of Ones:\n", A)
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Output 4
Array Creation: Program 5
Array with Evenly Spaced Values
import numpy as np A = np.linspace(0, 1, 10) print("Array A:", A) B = np.linspace(5, 10, 10) print("Array B:", B)
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Output 5
Array Creation: Program 6
Range of numbers
import numpy as np A = np.arange(1, 10, 2) #start, stop, step print('Array A:', A) B = np.arange(1, 10) #Default step = 1 print('Array B:', B) C = np.arange(10) #Default start = 0, step = 1 print('Array C:', C)
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Output 6
Array Creation: Program 7
Numpy Linear space endpoint
import numpy as np A = np.linspace(10, 20, 5, endpoint = True) print("Array A:", A) B = np.linspace(10, 20, 5, endpoint = False) print("Array B:", B)
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Output 7
Array Creation: Program 8
import numpy as np A, step = np.linspace(10, 20, 10, retstep = True) print("Array A:", A) print("step =", step)
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Output 8
Array Creation: Program 9
Numpy Logscale
import numpy as np A = np.logspace(0, 1, 10) #Log scale default base = 10 print("Array A:", A)
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Output 9
Array Creation: Program 10
Logspace with base 2
import numpy as np A = np.logspace(0, 1, 10, base = 2) #Log scale base = 2 print("Array A:", A)
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Output 10
Array Creation: Program 11
Identity Matrix
import numpy as np A = np.eye(10) print("Identity Matrix:\n", A)
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Output 11
Array Creation: Program 12
Random array uniform distribution
import numpy as np A = np.random.rand(4, 3) print("Random Array (Uniform Distribution):\n", A)
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Output 12
Array Creation: Program 13
Random Array Normal distribution
import numpy as np A = np.random.randn(4, 3) print("Random Array (Normal Distribution):\n", A)
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Output 13
Array Creation: Program 14
Maximum and minimum value
import numpy as np A = np.array([4,5,7,5,2,6,5,6,9,4,2,3,4,0,4,8,9]) max_val = np.max(A) min_val = np.min(A) print("Maximum:", max_val) print("Minimum:", min_val)
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Output 14