(20, 14)の配列をヒートマップなどで可視化したい

前提・実現したいこと

現在SOMのコードを作成しています。計算部分のコードは作り終えているのですが、データを可視化することができず困っています。

用いているデータはhttps://raw.githubusercontent.com/maskot1977/ipython_notebook/master/toydata/wine.txt
より取得した14次元のデータで、SOMの結果(20, 14)まで削減されたデータを5*4のマップ上に配置したいと考えています。

この時、imshow()でヒートマップを作って多次元配列を可視化させようとしているのですが、この場合データは3次元でしか可視化させることはできないのでしょうか。

色で可視化できなければ他の方法でも構いません。
何か(20, 14)のデータを可視化する方法はないでしょうか。
分かる方がいたら教えてください。

発生している問題・エラーメッセージ

Invalid shape (5, 4, 14) for image data

該当のソースコード

python
1plt.imshow(som.node.reshape(5, 4, 14),interpolation='none')

使用データ　形状:(20, 14)

array([[-1.14015082, 0.90135713, -0.2712945 , 0.44944055, -0.5696003 ,
0.65842059, 0.93687176, 1.02189663, -0.5393721 , 0.66171331,
0.24787164, 0.47331752, 0.73822515, 1.15473285],
[-0.74132768, 0.10449779, -0.4947401 , -0.15961238, -0.50207351,
0.09447913, 0.42468574, 0.54952434, -0.52622119, 0.31766716,
-0.52425621, 0.68330237, 0.74666059, 0.35222987],
[ 0.07973534, -0.88765294, -0.51117097, -0.80849794, -0.26971703,
-0.33611565, 0.62153313, 0.46772073, -0.87509353, 0.76303107,
-0.70077204, 0.47695642, 0.61319992, -0.5856571 ],
[ 0.07973544, -1.18328646, -0.65786114, -1.35678862, -0.25085108,
-0.87211574, 0.11734875, 0.16945948, -0.29037471, 0.14565319,
-0.94138588, 1.26113334, 0.64549694, -1.04031324],
[-1.05178005, 0.89537747, -0.28742898, 0.45190474, -0.52829235,
0.66042997, 0.8958526 , 0.95938267, -0.51811312, 0.65221666,
0.2917176 , 0.41166617, 0.66335277, 1.10241742],
[ 0.0796272 , -0.09623709, 0.26275378, 0.0035798 , 0.45054781,
0.315624 , -0.21982524, -0.33453708, -0.37643285, -0.58675192,
-0.88662376, -0.16371065, -0.13255864, -0.60367849],
[ 0.07973544, -0.96534565, -0.47321069, -0.37145038, 0.45754075,
-0.66050405, -0.16669892, 0.08544775, 0.09634391, -0.21520568,
-1.0473377 , 0.17944354, 0.33023961, -1.03191574],
[ 0.07973544, -1.324049 , -0.79467622, -1.03397154, 0.17260256,
-1.0521393 , -0.42814193, -0.57846526, -0.026388 , -0.6230217 ,
-1.17737513, 0.75493234, 0.11837749, -0.70464622],
[ 1.3699993 , 0.73815824, -0.73477115, 0.52301404, 0.60043763,
0.71816151, -0.22405532, -0.75023483, 0.06544549, 0.39992447,
1.50606149, -1.27938478, -1.38965455, -0.32356845],
[ 0.07975102, -0.89067666, 0.16439876, 0.37716791, 0.42821095,
0.15810431, -0.84299972, -0.38221716, 0.96936718, -0.66547619,
-0.59875571, 0.22549227, -0.49885858, -0.55220611],
[ 0.07973544, -1.04161557, -0.15339488, 0.00537591, 0.50456337,
-0.75207745, -0.88053709, -0.43974047, 1.33492589, -0.37545639,
-0.91494615, 0.09865782, -0.20657082, -0.74148648],
[ 0.07973544, -1.32256315, -0.79129363, -1.02846333, 0.1743771 ,
-1.05056216, -0.43055898, -0.57776798, -0.01918079, -0.62175009,
-1.17599947, 0.75143992, 0.1166349 , -0.7048248 ],
[ 1.36999975, 0.24369967, 0.70495907, 0.55380103, 0.73857716,
0.42734423, -0.80219476, -1.10054911, 0.03465823, -0.72462869,
0.9146511 , -1.022045 , -1.19200841, -0.33212075],
[ 0.7248219 , -0.27183095, 0.19125615, -0.29706511, 0.15125413,
-1.03200929, -0.75118786, -0.94530905, 1.95357646, -0.27244743,
0.02880655, -0.71064065, -1.19950346, -0.52204495],
[ 0.07973567, -0.28443601, 0.97842632, -1.40819844, -1.04578329,
-1.3819206 , -1.06264527, -0.77999701, 0.54794105, -1.32895121,
-0.7153178 , -1.12575341, -0.69229129, -1.19027159],
[ 0.07973544, -0.28443601, 0.9784266 , -1.40819883, -1.04578372,
-1.38192073, -1.06264538, -0.77999695, 0.54794055, -1.32895159,
-0.71531807, -1.12575356, -0.69229111, -1.19027183],
[ 1.36999976, 0.19354476, 1.14586033, 0.15145175, 0.56659032,
-0.23033608, -1.10499162, -1.3278774 , 0.97522107, -0.83738492,
1.0693244 , -1.27875472, -1.34904943, -0.38092924],
[ 1.36993791, -0.98611838, 0.62087573, -0.16956712, -0.14817347,
-0.26204303, -1.66981469, -1.54097017, 0.30667062, -1.50400252,
0.19060869, -1.30128376, -1.10099101, -0.75223893],
[ 0.08451633, -0.28667445, 0.97764232, -1.4042843 , -1.04319818,
-1.37807184, -1.06498225, -0.78297929, 0.54667054, -1.33005572,
-0.71186578, -1.12698887, -0.69403756, -1.18886308],
[ 0.07973544, -0.28407297, 0.97896926, -1.4088766 , -1.04652705,
-1.38222271, -1.06273268, -0.78016007, 0.54756319, -1.32940874,
-0.71522236, -1.12634062, -0.69252397, -1.19048701]])

行動規範の内容に同意します

回答1件

ベストアンサー

SOMについてはわかりませんが、plt.imshow(som.node.reshape(5, 4, 14),interpolation='none')というコードから推測すると、描画したいグラフは、以下のようなものでしょうか。

Python
1import numpy as np
2import matplotlib.pyplot as plt
3from mpl_toolkits.mplot3d import Axes3D
4
5a = np.array([[-1.14015082,  0.90135713, -0.2712945 ,  0.44944055, -0.5696003 ,
60.65842059,  0.93687176,  1.02189663, -0.5393721 ,  0.66171331,
70.24787164,  0.47331752,  0.73822515,  1.15473285],
8[-0.74132768,  0.10449779, -0.4947401 , -0.15961238, -0.50207351,
90.09447913,  0.42468574,  0.54952434, -0.52622119,  0.31766716,
10-0.52425621,  0.68330237,  0.74666059,  0.35222987],
11[ 0.07973534, -0.88765294, -0.51117097, -0.80849794, -0.26971703,
12-0.33611565,  0.62153313,  0.46772073, -0.87509353,  0.76303107,
13-0.70077204,  0.47695642,  0.61319992, -0.5856571 ],
14[ 0.07973544, -1.18328646, -0.65786114, -1.35678862, -0.25085108,
15-0.87211574,  0.11734875,  0.16945948, -0.29037471,  0.14565319,
16-0.94138588,  1.26113334,  0.64549694, -1.04031324],
17[-1.05178005,  0.89537747, -0.28742898,  0.45190474, -0.52829235,
180.66042997,  0.8958526 ,  0.95938267, -0.51811312,  0.65221666,
190.2917176 ,  0.41166617,  0.66335277,  1.10241742],
20[ 0.0796272 , -0.09623709,  0.26275378,  0.0035798 ,  0.45054781,
210.315624  , -0.21982524, -0.33453708, -0.37643285, -0.58675192,
22-0.88662376, -0.16371065, -0.13255864, -0.60367849],
23[ 0.07973544, -0.96534565, -0.47321069, -0.37145038,  0.45754075,
24-0.66050405, -0.16669892,  0.08544775,  0.09634391, -0.21520568,
25-1.0473377 ,  0.17944354,  0.33023961, -1.03191574],
26[ 0.07973544, -1.324049  , -0.79467622, -1.03397154,  0.17260256,
27-1.0521393 , -0.42814193, -0.57846526, -0.026388  , -0.6230217 ,
28-1.17737513,  0.75493234,  0.11837749, -0.70464622],
29[ 1.3699993 ,  0.73815824, -0.73477115,  0.52301404,  0.60043763,
300.71816151, -0.22405532, -0.75023483,  0.06544549,  0.39992447,
311.50606149, -1.27938478, -1.38965455, -0.32356845],
32[ 0.07975102, -0.89067666,  0.16439876,  0.37716791,  0.42821095,
330.15810431, -0.84299972, -0.38221716,  0.96936718, -0.66547619,
34-0.59875571,  0.22549227, -0.49885858, -0.55220611],
35[ 0.07973544, -1.04161557, -0.15339488,  0.00537591,  0.50456337,
36-0.75207745, -0.88053709, -0.43974047,  1.33492589, -0.37545639,
37-0.91494615,  0.09865782, -0.20657082, -0.74148648],
38[ 0.07973544, -1.32256315, -0.79129363, -1.02846333,  0.1743771 ,
39-1.05056216, -0.43055898, -0.57776798, -0.01918079, -0.62175009,
40-1.17599947,  0.75143992,  0.1166349 , -0.7048248 ],
41[ 1.36999975,  0.24369967,  0.70495907,  0.55380103,  0.73857716,
420.42734423, -0.80219476, -1.10054911,  0.03465823, -0.72462869,
430.9146511 , -1.022045  , -1.19200841, -0.33212075],
44[ 0.7248219 , -0.27183095,  0.19125615, -0.29706511,  0.15125413,
45-1.03200929, -0.75118786, -0.94530905,  1.95357646, -0.27244743,
460.02880655, -0.71064065, -1.19950346, -0.52204495],
47[ 0.07973567, -0.28443601,  0.97842632, -1.40819844, -1.04578329,
48-1.3819206 , -1.06264527, -0.77999701,  0.54794105, -1.32895121,
49-0.7153178 , -1.12575341, -0.69229129, -1.19027159],
50[ 0.07973544, -0.28443601,  0.9784266 , -1.40819883, -1.04578372,
51-1.38192073, -1.06264538, -0.77999695,  0.54794055, -1.32895159,
52-0.71531807, -1.12575356, -0.69229111, -1.19027183],
53[ 1.36999976,  0.19354476,  1.14586033,  0.15145175,  0.56659032,
54-0.23033608, -1.10499162, -1.3278774 ,  0.97522107, -0.83738492,
551.0693244 , -1.27875472, -1.34904943, -0.38092924],
56[ 1.36993791, -0.98611838,  0.62087573, -0.16956712, -0.14817347,
57-0.26204303, -1.66981469, -1.54097017,  0.30667062, -1.50400252,
580.19060869, -1.30128376, -1.10099101, -0.75223893],
59[ 0.08451633, -0.28667445,  0.97764232, -1.4042843 , -1.04319818,
60-1.37807184, -1.06498225, -0.78297929,  0.54667054, -1.33005572,
61-0.71186578, -1.12698887, -0.69403756, -1.18886308],
62[ 0.07973544, -0.28407297,  0.97896926, -1.4088766 , -1.04652705,
63-1.38222271, -1.06273268, -0.78016007,  0.54756319, -1.32940874,
64-0.71522236, -1.12634062, -0.69252397, -1.19048701]])
65
66
67# 格子点の座標を生成
68x = np.arange(5)
69y = np.arange(4)
70z = np.arange(14)
71x, y, z = np.meshgrid(x,y,z)
72x = np.ravel(x)
73y = np.ravel(y)
74z = np.ravel(z)
75
76c = np.ravel(a)
77
78fig = plt.figure()
79ax = fig.add_subplot(111, projection='3d')
80p = ax.scatter3D(x, y, z, c=c)
81fig.colorbar(p)
82plt.show()