質問編集履歴
2
題名の追記
test
CHANGED
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@@ -1 +1 @@
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1
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-
N次元の配列を
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1
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N次元の配列を２次元配列として分割したい。（配列arr を 軸 i, j により分割する split(arr, i, j) のような関数を制作したい）
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test
CHANGED
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File without changes
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1
追記
test
CHANGED
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File without changes
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test
CHANGED
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@@ -48,60 +48,52 @@
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48
48
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49
49
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50
50
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51
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多次元の場合は
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52
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53
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```python
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54
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51
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-
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55
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A = np.arange(24).reshape(2,4,3)
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56
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57
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# array([[[ 0, 1, 2],
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58
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59
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# [ 3, 4, 5],
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60
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61
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# [ 6, 7, 8],
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62
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63
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# [ 9, 10, 11]],
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64
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65
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#
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66
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67
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# [[12, 13, 14],
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68
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69
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# [15, 16, 17],
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70
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71
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# [18, 19, 20],
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72
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73
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# [21, 22, 23]]])
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52
74
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53
75
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54
76
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55
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77
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C = [A[i,:,:] for i in range(A.shape[0])]
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56
78
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57
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-
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79
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# [array([[ 0, 1, 2],
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58
80
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59
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[
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81
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# [ 3, 4, 5],
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60
82
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61
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[
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83
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# [ 6, 7, 8],
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62
84
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63
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-
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85
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# [ 9, 10, 11]]),
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64
86
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65
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-
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87
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# array([[12, 13, 14],
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66
88
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89
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# [15, 16, 17],
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67
90
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91
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# [18, 19, 20],
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68
92
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69
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[[12 13 14]
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70
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-
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71
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[15 16 17]
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72
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-
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73
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[18 19 20]
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74
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-
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75
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[21 22 23]]]
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93
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# [21, 22, 23]])]
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76
94
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77
95
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78
96
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79
97
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```
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80
98
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81
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の３次元配列から
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82
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-
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83
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-
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84
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-
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85
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-
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86
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-
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87
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```python
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88
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-
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89
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[array([[ 0 1 2]
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90
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-
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91
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[ 3 4 5]
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92
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-
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93
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[ 6 7 8]
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94
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-
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95
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[ 9 10 11]])
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96
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-
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97
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array([[12 13 14]
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98
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-
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99
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[15 16 17]
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100
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-
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101
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[18 19 20]
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102
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-
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103
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[21 22 23]])
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104
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-
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105
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-
```
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106
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-
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107
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のような
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99
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+
のように分割を行うことができますが、 A[i,:,:]とA.shape(0)の二つの情報の指定が２度手間であると感じられます。うまく対処する関数などありましたら教えていただけると幸いです。
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