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Copy pathnumpy.py
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58 lines (47 loc) · 1.6 KB
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import numpy as np
ok= np.array([1, 2, 3])
print(ok)
np.zeros((2, 3)) # 2x3 array of zeros
np.ones((2, 3)) # 2x3 array of ones
np.random.rand(2, 3) # 2x3 array of random floats
np.arange(0, 10, 2) # Array with values from 0 to 9 with a step of 2
arr = np.array([[1, 2, 3], [4, 5, 6]])
print(arr.shape) # Output: (2, 3)
print(arr.size) # Output: 6
print(arr.dtype) # Output: int64
print(arr.ndim) # Output: 2
arr = np.array([1, 2, 3, 4, 5])
print(arr[1:3]) # Output: [2 3]
arr2d = np.array([[1, 2], [3, 4], [5, 6]])
print(arr2d[1:, :]) # Output: [[3 4] [5 6]]
arr = np.array([1, 2, 3])
print(arr + 2) # Output: [3 4 5]
print(arr * 3) # Output: [3 6 9]
arr1 = np.array([1, 2, 3])
arr2 = np.array([4, 5, 6])
print(arr1 + arr2) # Output: [5 7 9]
arr = np.array([1, 2, 3])
matrix = np.array([[10], [20], [30]])
print(arr + matrix)
# Output:
# [[11 12 13]
# [21 22 23]
# [31 32 33]]
arr = np.array([1, 2, 3, 4])
print(np.sum(arr)) # Output: 10
print(np.mean(arr)) # Output: 2.5
print(np.std(arr)) # Output: 1.11803
arr1 = np.array([1, 2])
arr2 = np.array([3, 4])
print(np.dot(arr1, arr2)) # Output: 11
arr = np.array([1, 2, 3, 4])
print(np.sum(arr)) # Output: 10
print(np.mean(arr)) # Output: 2.5
print(np.std(arr)) # Output: 1.11803
arr1 = np.array([1, 2])
arr2 = np.array([3, 4])
print(np.dot(arr1, arr2)) # Output: 11
matrix = np.array([[1, 2], [3, 4]])
print(np.linalg.inv(matrix)) # Inverse of the matrix
np.random.seed(42) # Set seed for reproducibility
print(np.random.rand(3, 2)) # 3x2 array of random floats