numpy学习（2）

import numpy as np

t1 = np.arange(12)
print(t1.shape)

t2 = t1.reshape(3, 4)
print(t2)
print(t2.shape)

# [[[ 0  1  2  3]
#   [ 4  5  6  7]
#  [ 8  9 10 11]]
#
# [[12 13 14 15]
#  [16 17 18 19]
# [20 21 22 23]]]
# 2 代表数据块，3 代表每一块的数据行；4 代表每一块的数据列
t5 = np.arange(24).reshape(2, 3, 4)
print(t5)

t6 = t5.reshape(4, 6)
t7 = t5.reshape(24)
t8 = t5.reshape(24, 1)
t9 = t5.reshape(1, 24)
print(t5)
print(t6)
print(t7)
print(t8)
print(t9)

# 计算数组中的元素个数
print(t5.shape[0])
print(t5.shape[1])
print(t5.shape[2])
count = t5.shape[0] * t5.shape[1] * t5.shape[2]
print(count)
t10 = t5.reshape(count)
print(t10)

# 把多维数组转换成一维数组
t11 = t5.flatten()
print(t11)