/
numpy_reshape.py
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/
numpy_reshape.py
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import numpy as np
a = np.arange(24)
print(a)
# [ 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23]
print(a.shape)
# (24,)
print(a.ndim)
# 1
a_4_6 = a.reshape([4, 6])
print(a_4_6)
# [[ 0 1 2 3 4 5]
# [ 6 7 8 9 10 11]
# [12 13 14 15 16 17]
# [18 19 20 21 22 23]]
print(a_4_6.shape)
# (4, 6)
print(a_4_6.ndim)
# 2
a_2_3_4 = a.reshape([2, 3, 4])
print(a_2_3_4)
# [[[ 0 1 2 3]
# [ 4 5 6 7]
# [ 8 9 10 11]]
#
# [[12 13 14 15]
# [16 17 18 19]
# [20 21 22 23]]]
print(a_2_3_4.shape)
# (2, 3, 4)
print(a_2_3_4.ndim)
# 3
# a_5_6 = a.reshape([5, 6])
# ValueError: cannot reshape array of size 24 into shape (5,6)
print(a.reshape(4, 6))
# [[ 0 1 2 3 4 5]
# [ 6 7 8 9 10 11]
# [12 13 14 15 16 17]
# [18 19 20 21 22 23]]
print(a.reshape(2, 3, 4))
# [[[ 0 1 2 3]
# [ 4 5 6 7]
# [ 8 9 10 11]]
#
# [[12 13 14 15]
# [16 17 18 19]
# [20 21 22 23]]]
print(np.reshape(a, [4, 6]))
# [[ 0 1 2 3 4 5]
# [ 6 7 8 9 10 11]
# [12 13 14 15 16 17]
# [18 19 20 21 22 23]]
print(np.reshape(a, [2, 3, 4]))
# [[[ 0 1 2 3]
# [ 4 5 6 7]
# [ 8 9 10 11]]
#
# [[12 13 14 15]
# [16 17 18 19]
# [20 21 22 23]]]
# print(np.reshape(a, [5, 6]))
# ValueError: cannot reshape array of size 24 into shape (5,6)
print(a.reshape(4, 6))
# [[ 0 1 2 3 4 5]
# [ 6 7 8 9 10 11]
# [12 13 14 15 16 17]
# [18 19 20 21 22 23]]
# print(np.reshape(a, 4, 6))
# ValueError: cannot reshape array of size 24 into shape (4,)
print(a.reshape([4, 6], order='C'))
# [[ 0 1 2 3 4 5]
# [ 6 7 8 9 10 11]
# [12 13 14 15 16 17]
# [18 19 20 21 22 23]]
print(a.reshape([4, 6], order='F'))
# [[ 0 4 8 12 16 20]
# [ 1 5 9 13 17 21]
# [ 2 6 10 14 18 22]
# [ 3 7 11 15 19 23]]
print(a.reshape([2, 3, 4], order='C'))
# [[[ 0 1 2 3]
# [ 4 5 6 7]
# [ 8 9 10 11]]
#
# [[12 13 14 15]
# [16 17 18 19]
# [20 21 22 23]]]
print(a.reshape([2, 3, 4], order='F'))
# [[[ 0 6 12 18]
# [ 2 8 14 20]
# [ 4 10 16 22]]
#
# [[ 1 7 13 19]
# [ 3 9 15 21]
# [ 5 11 17 23]]]
print(np.reshape(a, [4, 6], order='F'))
# [[ 0 4 8 12 16 20]
# [ 1 5 9 13 17 21]
# [ 2 6 10 14 18 22]
# [ 3 7 11 15 19 23]]
# print(a.reshape([4, 6], 'F'))
# TypeError: 'list' object cannot be interpreted as an integer
print(np.reshape(a, [4, 6], 'F'))
# [[ 0 4 8 12 16 20]
# [ 1 5 9 13 17 21]
# [ 2 6 10 14 18 22]
# [ 3 7 11 15 19 23]]
print(a.reshape([4, -1]))
# [[ 0 1 2 3 4 5]
# [ 6 7 8 9 10 11]
# [12 13 14 15 16 17]
# [18 19 20 21 22 23]]
print(a.reshape([2, -1, 4]))
# [[[ 0 1 2 3]
# [ 4 5 6 7]
# [ 8 9 10 11]]
#
# [[12 13 14 15]
# [16 17 18 19]
# [20 21 22 23]]]
# print(a.reshape([2, -1, -1]))
# ValueError: can only specify one unknown dimension
# print(a.reshape([2, -1, 5]))
# ValueError: cannot reshape array of size 24 into shape (2,newaxis,5)
a_4_6 = a.reshape([4, 6])
print(a_4_6)
# [[ 0 1 2 3 4 5]
# [ 6 7 8 9 10 11]
# [12 13 14 15 16 17]
# [18 19 20 21 22 23]]
a[0] = 100
print(a)
# [100 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
# 18 19 20 21 22 23]
print(a_4_6)
# [[100 1 2 3 4 5]
# [ 6 7 8 9 10 11]
# [ 12 13 14 15 16 17]
# [ 18 19 20 21 22 23]]
a_4_6[0, 0] = 0
print(a_4_6)
# [[ 0 1 2 3 4 5]
# [ 6 7 8 9 10 11]
# [12 13 14 15 16 17]
# [18 19 20 21 22 23]]
print(a)
# [ 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23]
a_4_6_copy = a.reshape([4, 6]).copy()
print(a_4_6_copy)
# [[ 0 1 2 3 4 5]
# [ 6 7 8 9 10 11]
# [12 13 14 15 16 17]
# [18 19 20 21 22 23]]
a[0] = 100
print(a)
# [100 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
# 18 19 20 21 22 23]
print(a_4_6_copy)
# [[ 0 1 2 3 4 5]
# [ 6 7 8 9 10 11]
# [12 13 14 15 16 17]
# [18 19 20 21 22 23]]
a_4_6_copy[0, 0] = 200
print(a_4_6_copy)
# [[200 1 2 3 4 5]
# [ 6 7 8 9 10 11]
# [ 12 13 14 15 16 17]
# [ 18 19 20 21 22 23]]
print(a)
# [100 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17
# 18 19 20 21 22 23]