numpy函数大全及其用途：详解numpy库中的所有函数

import numpy as np

arr = np.array([1, 2, 3, 4, 5])
print(arr)

import numpy as np

arr = np.arange(0, 10, 2)
print(arr)

[0 2 4 6 8]

import numpy as np

arr = np.zeros((2, 3))
print(arr)

[[0. 0. 0.]
 [0. 0. 0.]]

import numpy as np

arr = np.ones((2, 3))
print(arr)

[[1. 1. 1.]
 [1. 1. 1.]]

import numpy as np

arr = np.linspace(0,1,5)
print(arr)

[0.   0.25 0.5  0.75 1.  ]

import numpy as np

arr = np.eye(3)
print(arr)

[[1. 0. 0.]
 [0. 1. 0.]
 [0. 0. 1.]]

import numpy as np

arr = np.arange(1, 10)
arr_reshape = np.reshape(arr, (3, 3))
print(arr_reshape)

[[1 2 3]
 [4 5 6]
 [7 8 9]]

import numpy as np

arr = np.array([[1, 2, 3], [4, 5, 6]])
arr_flatten = arr.flatten()
print(arr_flatten)

[1 2 3 4 5 6]

import numpy as np

arr = np.array([3, 1, 5, 2, 4])
arr_sorted = np.sort(arr)
print(arr_sorted)

import numpy as np

arr = np.array([3, 1, 5, 2, 4])
max_index = np.argmax(arr)
print(max_index)

2

import numpy as np

arr1 = np.array([1, 2, 3])
arr2 = np.array([4, 5, 6])
result = np.add(arr1, arr2)
print(result)

[5 7 9]

import numpy as np

arr1 = np.array([1, 2, 3])
arr2 = np.array([4, 5, 6])
result = np.dot(arr1, arr2)
print(result)

32

import numpy as np

arr = np.array([1, 2, 3, 4, 5])
mean = np.mean(arr)
print(mean)

3.0

import numpy as np

arr = np.array([1, 2, 3, 4, 5])
std = np.std(arr)
print(std)

1.4142135623730951

import numpy as np

matrix = np.array([[1, 2], [3, 4]])
det = np.linalg.det(matrix)
print(det)

-2.0000000000000004

import numpy as np

matrix = np.array([[1, 2], [3, 4]])
inv = np.linalg.inv(matrix)
print(inv)

[[-2.   1. ]
 [ 1.5 -0.5]]

import numpy as np

arr = np.loadtxt('data.txt')
print(arr)

import numpy as np

arr = np.array([1, 2, 3, 4, 5])
np.savetxt('data.txt', arr)

import numpy as np

arr = np.array([0, np.pi / 2, np.pi])
sin_val = np.sin(arr)
print(sin_val)

[0.         1.         1.2246468e-16]

import numpy as np

arr = np.array([1, 2, 3])
exp_val = np.exp(arr)
print(exp_val)

[ 2.71828183  7.3890561  20.08553692]