numpy库函数的全面解析

import numpy as np
# 创建一维数组
a = np.array([1, 2, 3, 4, 5])
print(a)

# 创建二维数组
b = np.array([[1, 2, 3], [4, 5, 6]])
print(b)

# 创建多维数组
c = np.array([[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]])
print(c)

import numpy as np
# 创建一个全为0的一维数组
a = np.zeros(5)
print(a)

# 创建一个全为0的二维数组
b = np.zeros((2, 3))
print(b)

import numpy as np
# 创建一个全为1的一维数组
a = np.ones(5)
print(a)

# 创建一个全为1的二维数组
b = np.ones((2, 3))
print(b)

import numpy as np
a = np.array([0, np.pi/2, np.pi])
b = np.sin(a)
print(b)

import numpy as np
a = np.array([0, np.pi/2, np.pi])
b = np.cos(a)
print(b)

import numpy as np
a = np.array([1, 2, 3])
b = np.exp(a)
print(b)

import numpy as np
a = np.array([1, 2, 3, 4, 5])
b = np.mean(a)
print(b)

import numpy as np
a = np.array([1, 2, 3, 4, 5])
b = np.max(a)
print(b)

import numpy as np
a = np.array([1, 2, 3, 4, 5])
b = np.min(a)
print(b)

import numpy as np
a = np.array([1, 2, 3, 4, 5, 6])
b = np.reshape(a, (2, 3))
print(b)

import numpy as np
a = np.array([[1, 2, 3], [4, 5, 6]])
b = np.transpose(a)
print(b)