質問編集履歴
5
改善
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0 208.63992136549896 0.0 749.7108801930362, 1 211.58078409791705 -110.803050465971 745.3781279365388, 2 309.08893679710894 -71.06094918545449 387.98204193887386, 3 405.07255520920404 -64.14655104314716 17.79497058259392, 6 205.20212607459098 110.80209061546883 754.3766832615895, 7 181.7805362220061 141.78019225298743 384.2818294953365, 8 -0.06830173740935612 189.71451216125052 62.11238858164552, 12 222.86292854234696 5.956038883766055 1049.1445338174049, 13 291.5235858436342 -7.207130928997586 1281.7646405810365, 14 382.0530526890137 -35.88490349533313 1338.2953419609603, 15 400.16207684734013 -49.316767180431356 1461.305491380718, 17 317.82397574718385 118.93406606803177 1252.9837503903855, 18 270.80089995133346 260.0919457655472 1004.1081728959896, 19 406.01894173640875 259.71403975390376 862.4119814807202, 25 263.5865096200367 -126.41389796402656 1214.8993774105966, 26 208.09524761101022 -282.96035562637013 984.4689660272635, 27 343.1917255307494 -343.64053163142574 853.9444829475991,
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```
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@@ -54,4 +52,4 @@
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しかし，読み込めないようです．3次元のcsvファイルは比較することは難しいのでしょうか？
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-
3次元ファイルは，3d-openposeで取得した座標になります．
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55
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3次元ファイルは，3d-openposeで取得した座標になります．コードはpos.csvもpos1.csvは続きますが，多量で全てあげられませんでした．申し訳ありません．
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4
改善
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test
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```
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2つのファイルの類似度を比較して差を出したいと思い，上記のコードを書きました．
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しかし，読み込めないようです．3次元のcsvファイルは比較することは難しいのでしょうか？
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3
改善
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```ここに言語を入力
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2 NaN ... NaN
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```
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2つのファイルの類似度を比較して差を出したいと思い，上記のコードを書きました．
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2
レイアウトの変更を行いました．質問内容の変更，コードの作成を行いました．
test
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test
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```ここに言語を入力
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pos.csv
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0 5.888390646028098 0.0 653.4629944571444, 1 28.57710332337765 -71.8004082833855 655.539313060342, 2 174.60934944552184 -7.219874132984543 327.9803951597944, 3 168.86077192089792 -0.5661174646356528 -39.48287089887913, 6 -17.633600971558135 71.799827471527 651.3909046089608, 7 -125.8573399711386 107.16974013571061 351.15536847693966, 8 -363.2323043307108 156.52725503791473 43.2836262360737, 12 33.15751457287449 3.0255977649419066 954.969291113309, 13 75.48543427815824 -27.750847867036683 1188.866839538217, 14 141.83907601278128 -54.43834488251994 1256.8503834097387, 15 153.9070008572003 -67.69780163073344 1380.1838640184637, 17 88.94171650647722 69.9627118836174 1155.1479481826086, 18 74.22188407257849 254.02091852337932 1054.6795450513343, 19 197.44250649331244 237.31170141106634 1010.4766823054925, 25 28.661738154492056 -95.67186919384106 1122.9451415002254, 26 -72.80848959487217 -162.53139536902702 876.5251975132596, 27 -71.51626792310608 -231.47840660713825 660.621070593412,
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0 2.9005602369518666 0.0 703.1178456180332, 1 22.745060622607316
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```
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```ここに言語を入力
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pos1.csv
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0 208.8246801014602 0.0 704.33566896956, 1 229.16987995063155 -117.76614603878642 704.3097041930135, 2 363.88055626130915 -60.405774115541284 374.6378109161877, 3 435.75824455008035 -55.54327962116707 -1.9544169249501238, 6 186.87210519955852 117.7651605420137 704.5417849244781, 7 181.26263799972378 135.88406627586252 353.37547402359365, 8 -31.79394776195545 169.88717372872978 46.590713059004315, 12 225.15170210169782 7.37545730963771 1007.0219023329641, 13 291.57680007966417 -5.436860206595938 1239.7640569129617, 14 383.8252358502382 -31.058443639315314 1294.4862574583776, 15 401.4400965829611 -41.54057653496296 1417.1053592556927, 17 324.68098029322596 128.89658229871458 1204.3003076960765, 18 272.4445443139525 285.9488617217144 1005.3209353554288, 19 407.4432336203202 274.65687988017646 862.615842740954, 25 257.52904179549796 -132.75734315977698 1178.773584255382, 26 207.2731588997749 -299.94742023957303 938.9065058443584, 27 329.41304251531125 -369.3666056734949 782.277759804524,
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0 208.63992136549896 0.0 749.7108801930362, 1 211.58078409791705 -110.803050465971 745.3781279365388, 2 309.08893679710894 -71.06094918545449 387.98204193887386, 3 405.07255520920404 -64.14655104314716 17.79497058259392, 6 205.20212607459098 110.80209061546883 754.3766832615895, 7 181.7805362220061 141.78019225298743 384.2818294953365, 8 -0.06830173740935612 189.71451216125052 62.11238858164552, 12 222.86292854234696 5.956038883766055 1049.1445338174049, 13 291.5235858436342 -7.207130928997586 1281.7646405810365, 14 382.0530526890137 -35.88490349533313 1338.2953419609603, 15 400.16207684734013 -49.316767180431356 1461.305491380718, 17 317.82397574718385 118.93406606803177 1252.9837503903855, 18 270.80089995133346 260.0919457655472 1004.1081728959896, 19 406.01894173640875 259.71403975390376 862.4119814807202, 25 263.5865096200367 -126.41389796402656 1214.8993774105966, 26 208.09524761101022 -282.96035562637013 984.4689660272635, 27 343.1917255307494 -343.64053163142574 853.9444829475991,
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```
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```ここに言語を入力
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import pandas as pd
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2 NaN ... NaN
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7 NaN ... NaN
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```
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50
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51
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2つのファイルの類似度を比較して差を出したいと思い，上記のコードを書きました．
|
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36
52
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37
53
|
しかし，読み込めないようです．3次元のcsvファイルは比較することは難しいのでしょうか？
|
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38
54
|
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39
55
|
3次元ファイルは，3d-openposeで取得した座標になります．
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40
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0 208.8246801014602 0.0 704.33566896956 1 229.16987995063155 -117.76614603878642 704.3097041930135 2 363.88055626130915 -60.405774115541284 374.6378109161877 3 435.75824455008035 -55.54327962116707 -1.9544169249501238 6 186.87210519955852 117.7651605420137 704.5417849244781 7 181.26263799972378 135.88406627586252 353.37547402359365 8 -31.79394776195545 169.88717372872978 46.590713059004315 12 225.15170210169782 7.37545730963771 1007.0219023329641 13 291.57680007966417 -5.436860206595938 1239.7640569129617 14 383.8252358502382 -31.058443639315314 1294.4862574583776 15 401.4400965829611 -41.54057653496296 1417.1053592556927 17 324.68098029322596 128.89658229871458 1204.3003076960765 18 272.4445443139525 285.9488617217144 1005.3209353554288 19 407.4432336203202 274.65687988017646
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1
書式改善し，質問内容の改善を行いました．レイアウトの改善を行いました．
test
CHANGED
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test
CHANGED
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1
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import numpy as np
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np.savetxt('pos.csv', array, delimiter=',')
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x = np.loadtxt('pos.csv', delimiter=',')
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print(x)
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x = np.diff(x, axis=0)
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print(x)
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every_distance = np.linalg.norm(x, axis=1)
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print(every_distance)
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all_distance = np.sum(every_distance)
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print(all_distance)
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[[3. 6.][9. 8.][1. 9.][3. 9.][4. 5.][7. 5.][5. 2.]
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[3. 6.]
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[8. 7.]
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[2. 6.]]
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```ここに言語を入力
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[-8. 1.]
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[ 2. 0.]
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[ 1. -4.]
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[ 3. 0.]
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[-2. -3.]
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[-2. 4.]
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[ 5. 1.]
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[-6. -1.]][6.32455532 8.06225775 2. 4.12310563 3. 3.60555128
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4.47213595 5.09901951 6.08276253]
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42.76938796860754
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これはランダムではない類似度が出ているでしょうか？教えていただけたらありがたいです．
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また，2つのファイルの類似度を比較して差を出したいと思い，以下のコードを書きました．
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import pandas as pd
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... 8.000000000000000000e+00
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0 NaN ...
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0 NaN ...
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1 NaN ... NaN
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7 NaN ... NaN
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```
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34
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35
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+
2つのファイルの類似度を比較して差を出したいと思い，上記のコードを書きました．
|
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36
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+
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37
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+
しかし，読み込めないようです．3次元のcsvファイルは比較することは難しいのでしょうか？
|
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38
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+
|
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39
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+
3次元ファイルは，3d-openposeで取得した座標になります．
|
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40
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+
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41
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+
0 208.8246801014602 0.0 704.33566896956 1 229.16987995063155 -117.76614603878642 704.3097041930135 2 363.88055626130915 -60.405774115541284 374.6378109161877 3 435.75824455008035 -55.54327962116707 -1.9544169249501238 6 186.87210519955852 117.7651605420137 704.5417849244781 7 181.26263799972378 135.88406627586252 353.37547402359365 8 -31.79394776195545 169.88717372872978 46.590713059004315 12 225.15170210169782 7.37545730963771 1007.0219023329641 13 291.57680007966417 -5.436860206595938 1239.7640569129617 14 383.8252358502382 -31.058443639315314 1294.4862574583776 15 401.4400965829611 -41.54057653496296 1417.1053592556927 17 324.68098029322596 128.89658229871458 1204.3003076960765 18 272.4445443139525 285.9488617217144 1005.3209353554288 19 407.4432336203202 274.65687988017646
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