質問編集履歴
3
訂正しました．
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1
1
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列の固定をして行は24回ループさせるにはどのようにすればできますでしょうか．
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2
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テキストファイルからxとyとz座標の値を取得したのですが，
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2
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テキストファイルからxとyとz座標の値を取得したのですが，取得した座標の入った3列は固定をし3行を24回分，行うにはどのようにしたらpython初心者にもできますでしょうか．
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3
3
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どなたかお分かりの方よろしくお願いいたします．
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4
4
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はじめの一列目は全て番号になっているようです．
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5
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2列目，3列目,4列目がx,y,zとなっていまして，1フレームが以下のようになっていまして，24フレーム分あります．
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5
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2列目，3列目,4列目がx,y,zとなっていまして，1フレームが以下のようになっていまして，このようなものが24フレーム分あります．
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6
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この3つの列を24回分ループさせたいのですが，
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6
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-
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7
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0尻(尾てい骨),x座標，y座標，z座標
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8
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1右尻(右足付け根),x座標，y座標，z座標
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9
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2右ひざ,x座標，y座標，z座標,z座標
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7
10
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8
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0尻(尾てい骨),
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9
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1右尻(右足付け根),
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10
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2右ひざ,
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11
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3右足首
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12
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4左尻(左足付け根)
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13
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5左ひざ
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14
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6左足首
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15
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7脊椎
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16
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8胸
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17
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9首/鼻
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18
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10頭
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19
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11左肩
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20
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12左ひじ
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21
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13左手首
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22
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14右肩
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23
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15右ひじ
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24
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16右手首
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25
11
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26
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```txtファイルから取得した座標
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12
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```txtファイルから取得した座標の一部になります
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27
13
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[[ 0.00000000e+00 -1.07784731e-01 0.00000000e+00 5.34467328e+02
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28
14
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1.00000000e+00 -8.69184320e+01 -3.12723766e+01 5.44275750e+02
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29
15
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2.00000000e+00 -1.56086607e+02 -8.56866898e+01 2.90261612e+02
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30
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-
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16
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+
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31
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-
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17
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+
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32
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7.00000000e+00 1.46564696e+02 -1.24999012e+02 2.64574310e+02
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33
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-
8.00000000e+00 1.76755871e+02 -1.42499048e+02 5.89798142e+01
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34
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-
1.20000000e+01 1.29430659e+01 5.29321590e+00 6.84659676e+02
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35
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-
1.30000000e+01 1.74517718e+01 -2.37796071e+00 9.20011488e+02
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36
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-
1.40000000e+01 4.53356092e+01 -5.05112412e+01 9.75273102e+02
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37
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-
1.50000000e+01 5.81465511e+01 -3.39452419e+01 1.10484814e+03
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38
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-
1.70000000e+01 1.44770661e+02 4.36276525e+01 8.78531143e+02
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39
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-
1.80000000e+01 1.63237347e+02 1.00367522e+02 6.91725263e+02
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40
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-
1.90000000e+01 1.60579958e+02 2.44391511e+01 5.32922027e+02
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41
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-
2.50000000e+01 -1.10331108e+02 -3.94071405e+01 8.91927989e+02
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42
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-
2.60000000e+01 -1.57001909e+02 -6.78258116e+01 7.18662022e+02
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43
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-
2.70000000e+01 -1.97890179e+02 -1.73602758e+02 5.67705410e+02]
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44
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-
[ 0.00000000e+00 7.96067226e+00 0.00000000e+00 5.34467328e+02
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45
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-
1.00000000e+00 -7.86733537e+01 -4.08364468e+01 5.44846344e+02
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46
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-
2.00000000e+00 -1.56175309e+02 -8.34622445e+01 2.74353364e+02
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47
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-
3.00000000e+00 -2.32477462e+02 2.68251833e+01 3.49050397e+00
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48
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-
6.00000000e+00 9.63801736e+01 4.08361849e+01 5.23926152e+02
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49
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-
7.00000000e+00 1.61828667e+02 -1.25224690e+02 2.56711460e+02
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50
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-
8.00000000e+00 1.83327308e+02 -1.66498479e+02 3.32697396e+01
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51
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-
1.20000000e+01 4.10959938e+00 -5.72516647e+00 6.84696032e+02
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52
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-
1.30000000e+01 1.65208746e+01 -3.22858190e+01 9.10375409e+02
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53
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-
1.40000000e+01 4.79081717e+01 -8.17596567e+01 9.59196453e+02
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54
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-
1.50000000e+01 5.69742857e+01 -7.48734774e+01 1.08652975e+03
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55
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-
1.70000000e+01 1.44299627e+02 3.04710861e+01 8.78213975e+02
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56
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-
1.80000000e+01 1.63776461e+02 1.13909537e+02 6.91430254e+02
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57
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-
1.90000000e+01 2.59363672e+02 7.06916306e+01 5.30070310e+02
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58
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-
2.50000000e+01 -1.09205081e+02 -7.98285109e+01 8.90796387e+02
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59
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-
2.60000000e+01 -1.55044880e+02 -1.16840377e+02 7.19439695e+02
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60
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-
2.70000000e+01 -1.95748453e+02 -2.15015097e+02 5.70014403e+02]
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61
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-
[ 0.00000000e+00 -1.07784731e-01 0.00000000e+00 5.06706344e+02
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62
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-
1.00000000e+00 -8.73267156e+01 -1.26299986e+01 4.95875216e+02
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63
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-
2.00000000e+00 -1.56429291e+02 -7.73769357e+01 2.34281023e+02
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64
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-
3.00000000e+00 -2.63113139e+02 5.80732139e+00 -8.11537712e+00
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65
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-
6.00000000e+00 8.76636791e+01 1.26299417e+01 5.17611578e+02
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66
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-
7.00000000e+00 1.45727671e+02 -1.47128988e+02 2.59663216e+02
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67
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-
8.00000000e+00 1.90778792e+02 -1.67921432e+02 2.57659374e+01
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68
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-
1.20000000e+01 -2.90373417e+01 -5.04701331e+01 6.96023351e+02
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69
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-
1.30000000e+01 -9.36505214e+01 -1.17645517e+02 8.84573591e+02
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70
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-
1.40000000e+01 -1.00811227e+02 -1.63083000e+02 9.28644787e+02
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71
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-
1.50000000e+01 -1.14791253e+02 -1.61989657e+02 1.04961596e+03
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72
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-
1.70000000e+01 1.54713634e+01 -8.59225135e+01 8.67083497e+02
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73
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-
1.80000000e+01 1.49839365e+02 -3.27341414e+01 6.94624844e+02
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74
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-
1.90000000e+01 1.57239443e+02 -5.92805153e+01 5.38083799e+02
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75
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-
2.50000000e+01 -1.62095302e+02 -1.31142924e+02 7.88956258e+02
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76
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-
2.60000000e+01 -1.60028214e+02 -1.80304283e+02 5.98846649e+02
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77
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-
2.70000000e+01 -1.99311476e+02 -2.96582914e+02 4.49238992e+02]
|
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78
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-
[ 0.00000000e+00 -6.77574595e+01 0.00000000e+00 4.70855089e+02
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79
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-
1.00000000e+00 -1.42007355e+02 -4.12874578e+01 4.34746912e+02
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80
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-
2.00000000e+00 -2.09781551e+02 -9.77348485e+01 2.14210758e+02
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81
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-
3.00000000e+00 -2.76131194e+02 -3.25649294e+01 -8.35829090e-01
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82
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-
6.00000000e+00 8.05580466e+00 4.12871886e+01 5.07783252e+02
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83
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-
7.00000000e+00 1.45641474e+02 -1.46335632e+02 2.51928447e+02
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84
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-
8.00000000e+00 1.80197802e+02 -2.31938625e+02 2.34432934e+01
|
|
85
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-
1.20000000e+01 -2.07571331e+02 -7.27856711e+00 6.11810851e+02
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|
86
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-
1.30000000e+01 -2.87836783e+02 -4.37489487e+01 7.77486246e+02
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87
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-
1.40000000e+01 -2.79964653e+02 -7.77328728e+01 8.19233849e+02
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|
88
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-
1.50000000e+01 -2.98793883e+02 -8.54805435e+01 9.32250067e+02
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89
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-
1.70000000e+01 -1.67871385e+02 1.63445223e+01 8.13865975e+02
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90
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-
1.80000000e+01 -4.11378403e+01 1.45064463e+02 6.74024098e+02
|
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91
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-
1.90000000e+01 -9.00979764e-02 1.92009617e+02 5.05942443e+02
|
|
92
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-
2.50000000e+01 -3.42198922e+02 -9.38250122e+01 7.19300079e+02
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|
93
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-
2.60000000e+01 -3.27528207e+02 -1.71770565e+02 5.75499614e+02
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94
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-
2.70000000e+01 -3.10988403e+02 -2.79509916e+02 4.62974033e+02]
|
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95
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-
[ 0.00000000e+00 -1.83258422e+02 0.00000000e+00 4.39013683e+02
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96
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-
1.00000000e+00 -2.68332652e+02 -3.82497057e+01 4.34481173e+02
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97
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-
2.00000000e+00 -2.83495071e+02 -2.54138260e+02 2.36929788e+02
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98
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-
3.00000000e+00 -2.50199183e+02 -4.08465095e+02 7.30953112e+01
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99
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-
6.00000000e+00 -9.65076087e+01 3.82494984e+01 4.43696887e+02
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100
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-
7.00000000e+00 6.68508039e+01 -2.69055068e+02 2.68778271e+02
|
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101
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-
8.00000000e+00 1.61826220e+02 -6.16101179e+02 9.40180487e+01
|
|
102
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-
1.20000000e+01 -2.58518873e+02 1.45907961e+02 5.69533996e+02
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103
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-
1.30000000e+01 -3.06899741e+02 2.56709646e+02 7.80318654e+02
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104
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-
1.40000000e+01 -2.91150775e+02 2.34990588e+02 8.29296035e+02
|
|
105
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-
1.50000000e+01 -3.04247775e+02 2.52019722e+02 9.45553199e+02
|
|
106
|
-
1.70000000e+01 -1.79400132e+02 2.92171270e+02 7.55729802e+02
|
|
107
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-
1.80000000e+01 -5.20104242e+01 3.65347682e+02 6.24995484e+02
|
|
108
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-
1.90000000e+01 -1.02718965e+02 2.99483925e+02 4.98723743e+02
|
|
109
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-
2.50000000e+01 -4.09352307e+02 1.93975152e+02 7.14750411e+02
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110
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-
2.60000000e+01 -4.23954628e+02 1.78219394e+02 5.56707436e+02
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111
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-
2.70000000e+01 -3.40793832e+02 7.70654439e+01 4.32489271e+02]
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112
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-
[ 0.00000000e+00 -1.83258422e+02 0.00000000e+00 4.35042329e+02
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113
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-
1.00000000e+00 -2.69141438e+02 -2.63085301e+01 4.33436573e+02
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114
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-
2.00000000e+00 -3.22843989e+02 -2.29503814e+02 2.33351408e+02
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115
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-
3.00000000e+00 -2.49089056e+02 -4.25338906e+02 6.22366608e+01
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116
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-
6.00000000e+00 -9.62222365e+01 2.63084252e+01 4.36699491e+02
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117
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-
7.00000000e+00 2.24034193e+01 -2.61309875e+02 2.67618882e+02
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118
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-
8.00000000e+00 1.54367858e+02 -6.31257693e+02 9.03736198e+01
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119
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-
1.20000000e+01 -2.61708369e+02 1.33295168e+02 5.65445867e+02
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120
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-
1.30000000e+01 -3.04922756e+02 2.29288790e+02 7.71281611e+02
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121
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-
1.40000000e+01 -2.96671126e+02 2.02390012e+02 8.17524615e+02
|
|
122
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-
1.50000000e+01 -3.07083062e+02 2.14911454e+02 9.32979488e+02
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123
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-
1.70000000e+01 -1.77740030e+02 2.52453124e+02 7.47383699e+02
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124
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-
1.80000000e+01 -5.13091565e+01 3.06488767e+02 5.32897207e+02
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125
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-
1.90000000e+01 -1.01079298e+02 2.30852746e+02 4.52905218e+02
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126
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-
2.50000000e+01 -4.08161902e+02 1.81778994e+02 7.14943214e+02
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127
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-
2.60000000e+01 -4.25635673e+02 1.94786673e+02 5.55817881e+02
|
|
128
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-
2.70000000e+01 -3.48699766e+02 7.13981633e+01 4.32973785e+02]
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129
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-
[ 0.00000000e+00 -1.83258422e+02 0.00000000e+00 4.31083807e+02
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|
130
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-
1.00000000e+00 -2.69222069e+02 -2.51180607e+01 4.33332432e+02
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131
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-
2.00000000e+00 -3.25934704e+02 -1.93407339e+02 2.28108064e+02
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132
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-
3.00000000e+00 -2.53702770e+02 -3.59127786e+02 4.89225389e+01
|
|
133
|
-
6.00000000e+00 -9.61937860e+01 2.51179491e+01 4.28834547e+02
|
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134
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-
7.00000000e+00 2.26103472e+01 -2.26777670e+02 2.62561894e+02
|
|
135
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-
8.00000000e+00 1.03039696e+02 -5.54336616e+02 7.45365438e+01
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|
136
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-
1.20000000e+01 -2.61985829e+02 1.01464378e+02 5.71669076e+02
|
|
137
|
-
1.30000000e+01 -3.00941255e+02 1.74065238e+02 7.62925999e+02
|
|
138
|
-
1.40000000e+01 -2.95097294e+02 1.52275750e+02 8.06767647e+02
|
|
139
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-
1.50000000e+01 -3.00980505e+02 1.60668815e+02 9.19519559e+02
|
|
140
|
-
1.70000000e+01 -1.75369209e+02 1.95730923e+02 7.31062363e+02
|
|
141
|
-
1.80000000e+01 -5.05824393e+01 2.45493816e+02 5.36234879e+02
|
|
142
|
-
1.90000000e+01 -1.00288191e+02 1.97739569e+02 3.96829745e+02
|
|
143
|
-
2.50000000e+01 -4.03172572e+02 1.30661343e+02 7.15751303e+02
|
|
144
|
-
2.60000000e+01 -4.18310200e+02 1.22591605e+02 5.59694285e+02
|
|
145
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-
2.70000000e+01 -3.44089298e+02 1.75666075e+01 4.85209573e+02]
|
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146
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-
[ 0.00000000e+00 -1.83258422e+02 0.00000000e+00 4.22826726e+02
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|
147
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-
1.00000000e+00 -2.69093340e+02 -2.70186625e+01 4.25150822e+02
|
|
148
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-
2.00000000e+00 -3.27155327e+02 -1.79151674e+02 2.18290989e+02
|
|
149
|
-
3.00000000e+00 -2.53517186e+02 -3.61791096e+02 4.94580930e+01
|
|
150
|
-
6.00000000e+00 -9.62392065e+01 2.70185173e+01 4.20503944e+02
|
|
151
|
-
7.00000000e+00 2.26819321e+01 -2.14831555e+02 2.46130949e+02
|
|
152
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-
8.00000000e+00 1.02554880e+02 -5.70548934e+02 7.77617775e+01
|
|
153
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-
1.20000000e+01 -2.71225440e+02 1.12754654e+02 5.48156290e+02
|
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154
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-
1.30000000e+01 -3.02861755e+02 2.00702637e+02 7.45415685e+02
|
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155
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-
1.40000000e+01 -2.86762109e+02 1.86403740e+02 7.93838576e+02
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156
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-
1.50000000e+01 -2.85236388e+02 1.97226956e+02 9.09216875e+02
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157
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-
1.70000000e+01 -1.68337997e+02 2.25596800e+02 7.14209857e+02
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158
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-
1.80000000e+01 -5.11199712e+01 2.90610032e+02 5.33633260e+02
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159
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-
1.90000000e+01 -1.01887630e+02 2.64686903e+02 3.90702028e+02
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|
160
|
-
2.50000000e+01 -4.05007822e+02 1.49464204e+02 7.15454060e+02
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161
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-
2.60000000e+01 -4.19430822e+02 1.33635721e+02 5.92066152e+02
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162
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-
2.70000000e+01 -3.47084748e+02 5.25413110e+01 4.99183224e+02]
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163
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-
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164
18
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```
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165
19
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```3点座標の格納
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166
20
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A =([ a,b,c ])
|
2
内容を詳し目にわかりやすく提示しました．わかりづかいと思った箇所を詳し目に書きましたxjk弾β不dc雨dmchdイオhc弾c時会うcd日h，zd不vchzdf伊l亜vhcうfdばゔぃbだl．
title
CHANGED
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File without changes
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body
CHANGED
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@@ -1,7 +1,28 @@
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1
1
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列の固定をして行は24回ループさせるにはどのようにすればできますでしょうか．
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2
2
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テキストファイルからxとyとz座標の値を取得したのですが，その9つの列は固定をし行を一列ずつ回数分行うにはどのようにしたらpython初心者にもできますでしょうか．
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3
3
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どなたかお分かりの方よろしくお願いいたします．
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4
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+
はじめの一列目は全て番号になっているようです．
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5
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+
2列目，3列目,4列目がx,y,zとなっていまして，1フレームが以下のようになっていまして，24フレーム分あります．
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6
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+
番号0から16まであります．
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4
7
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8
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+
0尻(尾てい骨),
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9
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+
1右尻(右足付け根),
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10
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+
2右ひざ,
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11
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+
3右足首
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12
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+
4左尻(左足付け根)
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13
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+
5左ひざ
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14
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+
6左足首
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15
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+
7脊椎
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16
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+
8胸
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17
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+
9首/鼻
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18
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+
10頭
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19
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+
11左肩
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20
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+
12左ひじ
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21
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+
13左手首
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22
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+
14右肩
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23
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+
15右ひじ
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24
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+
16右手首
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25
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+
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5
26
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```txtファイルから取得した座標
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6
27
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[[ 0.00000000e+00 -1.07784731e-01 0.00000000e+00 5.34467328e+02
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7
28
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1.00000000e+00 -8.69184320e+01 -3.12723766e+01 5.44275750e+02
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@@ -139,13 +160,7 @@
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139
160
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2.50000000e+01 -4.05007822e+02 1.49464204e+02 7.15454060e+02
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|
140
161
|
2.60000000e+01 -4.19430822e+02 1.33635721e+02 5.92066152e+02
|
|
141
162
|
2.70000000e+01 -3.47084748e+02 5.25413110e+01 4.99183224e+02]
|
|
142
|
-
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|
163
|
+
|
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143
|
-
1.00000000e+00 -2.45462457e+02 -2.33336006e+01 4.32831900e+02
|
|
144
|
-
2.00000000e+00 -3.38798005e+02 -4.31767948e+01 1.98416034e+02
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|
145
|
-
3.00000000e+00 -2.75435091e+02 -4.62111344e+01 -1.40005838e+01
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|
146
|
-
6.00000000e+00 -9.61059687e+01 2.33335185e+01 4.20524116e+02
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|
147
|
-
7.00000000e+00 2.32538677e+01 -1.19386758e+02 1.94039786e+02
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|
148
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-
8.00000000e+00 1.13270715e+02 -2.12209752e+02 4.27598550e+00
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|
149
164
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```
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150
165
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```3点座標の格納
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151
166
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A =([ a,b,c ])
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1
改善
title
CHANGED
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File without changes
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body
CHANGED
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@@ -2,6 +2,151 @@
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|
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2
2
|
テキストファイルからxとyとz座標の値を取得したのですが，その9つの列は固定をし行を一列ずつ回数分行うにはどのようにしたらpython初心者にもできますでしょうか．
|
|
3
3
|
どなたかお分かりの方よろしくお願いいたします．
|
|
4
4
|
|
|
5
|
+
```txtファイルから取得した座標
|
|
6
|
+
[[ 0.00000000e+00 -1.07784731e-01 0.00000000e+00 5.34467328e+02
|
|
7
|
+
1.00000000e+00 -8.69184320e+01 -3.12723766e+01 5.44275750e+02
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|
8
|
+
2.00000000e+00 -1.56086607e+02 -8.56866898e+01 2.90261612e+02
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|
9
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+
3.00000000e+00 -2.31943586e+02 1.75777158e+01 2.91960918e+01
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|
10
|
+
6.00000000e+00 8.80709545e+01 3.12721572e+01 5.24534726e+02
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|
11
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+
7.00000000e+00 1.46564696e+02 -1.24999012e+02 2.64574310e+02
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|
12
|
+
8.00000000e+00 1.76755871e+02 -1.42499048e+02 5.89798142e+01
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|
13
|
+
1.20000000e+01 1.29430659e+01 5.29321590e+00 6.84659676e+02
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|
14
|
+
1.30000000e+01 1.74517718e+01 -2.37796071e+00 9.20011488e+02
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|
15
|
+
1.40000000e+01 4.53356092e+01 -5.05112412e+01 9.75273102e+02
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|
16
|
+
1.50000000e+01 5.81465511e+01 -3.39452419e+01 1.10484814e+03
|
|
17
|
+
1.70000000e+01 1.44770661e+02 4.36276525e+01 8.78531143e+02
|
|
18
|
+
1.80000000e+01 1.63237347e+02 1.00367522e+02 6.91725263e+02
|
|
19
|
+
1.90000000e+01 1.60579958e+02 2.44391511e+01 5.32922027e+02
|
|
20
|
+
2.50000000e+01 -1.10331108e+02 -3.94071405e+01 8.91927989e+02
|
|
21
|
+
2.60000000e+01 -1.57001909e+02 -6.78258116e+01 7.18662022e+02
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|
22
|
+
2.70000000e+01 -1.97890179e+02 -1.73602758e+02 5.67705410e+02]
|
|
23
|
+
[ 0.00000000e+00 7.96067226e+00 0.00000000e+00 5.34467328e+02
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|
24
|
+
1.00000000e+00 -7.86733537e+01 -4.08364468e+01 5.44846344e+02
|
|
25
|
+
2.00000000e+00 -1.56175309e+02 -8.34622445e+01 2.74353364e+02
|
|
26
|
+
3.00000000e+00 -2.32477462e+02 2.68251833e+01 3.49050397e+00
|
|
27
|
+
6.00000000e+00 9.63801736e+01 4.08361849e+01 5.23926152e+02
|
|
28
|
+
7.00000000e+00 1.61828667e+02 -1.25224690e+02 2.56711460e+02
|
|
29
|
+
8.00000000e+00 1.83327308e+02 -1.66498479e+02 3.32697396e+01
|
|
30
|
+
1.20000000e+01 4.10959938e+00 -5.72516647e+00 6.84696032e+02
|
|
31
|
+
1.30000000e+01 1.65208746e+01 -3.22858190e+01 9.10375409e+02
|
|
32
|
+
1.40000000e+01 4.79081717e+01 -8.17596567e+01 9.59196453e+02
|
|
33
|
+
1.50000000e+01 5.69742857e+01 -7.48734774e+01 1.08652975e+03
|
|
34
|
+
1.70000000e+01 1.44299627e+02 3.04710861e+01 8.78213975e+02
|
|
35
|
+
1.80000000e+01 1.63776461e+02 1.13909537e+02 6.91430254e+02
|
|
36
|
+
1.90000000e+01 2.59363672e+02 7.06916306e+01 5.30070310e+02
|
|
37
|
+
2.50000000e+01 -1.09205081e+02 -7.98285109e+01 8.90796387e+02
|
|
38
|
+
2.60000000e+01 -1.55044880e+02 -1.16840377e+02 7.19439695e+02
|
|
39
|
+
2.70000000e+01 -1.95748453e+02 -2.15015097e+02 5.70014403e+02]
|
|
40
|
+
[ 0.00000000e+00 -1.07784731e-01 0.00000000e+00 5.06706344e+02
|
|
41
|
+
1.00000000e+00 -8.73267156e+01 -1.26299986e+01 4.95875216e+02
|
|
42
|
+
2.00000000e+00 -1.56429291e+02 -7.73769357e+01 2.34281023e+02
|
|
43
|
+
3.00000000e+00 -2.63113139e+02 5.80732139e+00 -8.11537712e+00
|
|
44
|
+
6.00000000e+00 8.76636791e+01 1.26299417e+01 5.17611578e+02
|
|
45
|
+
7.00000000e+00 1.45727671e+02 -1.47128988e+02 2.59663216e+02
|
|
46
|
+
8.00000000e+00 1.90778792e+02 -1.67921432e+02 2.57659374e+01
|
|
47
|
+
1.20000000e+01 -2.90373417e+01 -5.04701331e+01 6.96023351e+02
|
|
48
|
+
1.30000000e+01 -9.36505214e+01 -1.17645517e+02 8.84573591e+02
|
|
49
|
+
1.40000000e+01 -1.00811227e+02 -1.63083000e+02 9.28644787e+02
|
|
50
|
+
1.50000000e+01 -1.14791253e+02 -1.61989657e+02 1.04961596e+03
|
|
51
|
+
1.70000000e+01 1.54713634e+01 -8.59225135e+01 8.67083497e+02
|
|
52
|
+
1.80000000e+01 1.49839365e+02 -3.27341414e+01 6.94624844e+02
|
|
53
|
+
1.90000000e+01 1.57239443e+02 -5.92805153e+01 5.38083799e+02
|
|
54
|
+
2.50000000e+01 -1.62095302e+02 -1.31142924e+02 7.88956258e+02
|
|
55
|
+
2.60000000e+01 -1.60028214e+02 -1.80304283e+02 5.98846649e+02
|
|
56
|
+
2.70000000e+01 -1.99311476e+02 -2.96582914e+02 4.49238992e+02]
|
|
57
|
+
[ 0.00000000e+00 -6.77574595e+01 0.00000000e+00 4.70855089e+02
|
|
58
|
+
1.00000000e+00 -1.42007355e+02 -4.12874578e+01 4.34746912e+02
|
|
59
|
+
2.00000000e+00 -2.09781551e+02 -9.77348485e+01 2.14210758e+02
|
|
60
|
+
3.00000000e+00 -2.76131194e+02 -3.25649294e+01 -8.35829090e-01
|
|
61
|
+
6.00000000e+00 8.05580466e+00 4.12871886e+01 5.07783252e+02
|
|
62
|
+
7.00000000e+00 1.45641474e+02 -1.46335632e+02 2.51928447e+02
|
|
63
|
+
8.00000000e+00 1.80197802e+02 -2.31938625e+02 2.34432934e+01
|
|
64
|
+
1.20000000e+01 -2.07571331e+02 -7.27856711e+00 6.11810851e+02
|
|
65
|
+
1.30000000e+01 -2.87836783e+02 -4.37489487e+01 7.77486246e+02
|
|
66
|
+
1.40000000e+01 -2.79964653e+02 -7.77328728e+01 8.19233849e+02
|
|
67
|
+
1.50000000e+01 -2.98793883e+02 -8.54805435e+01 9.32250067e+02
|
|
68
|
+
1.70000000e+01 -1.67871385e+02 1.63445223e+01 8.13865975e+02
|
|
69
|
+
1.80000000e+01 -4.11378403e+01 1.45064463e+02 6.74024098e+02
|
|
70
|
+
1.90000000e+01 -9.00979764e-02 1.92009617e+02 5.05942443e+02
|
|
71
|
+
2.50000000e+01 -3.42198922e+02 -9.38250122e+01 7.19300079e+02
|
|
72
|
+
2.60000000e+01 -3.27528207e+02 -1.71770565e+02 5.75499614e+02
|
|
73
|
+
2.70000000e+01 -3.10988403e+02 -2.79509916e+02 4.62974033e+02]
|
|
74
|
+
[ 0.00000000e+00 -1.83258422e+02 0.00000000e+00 4.39013683e+02
|
|
75
|
+
1.00000000e+00 -2.68332652e+02 -3.82497057e+01 4.34481173e+02
|
|
76
|
+
2.00000000e+00 -2.83495071e+02 -2.54138260e+02 2.36929788e+02
|
|
77
|
+
3.00000000e+00 -2.50199183e+02 -4.08465095e+02 7.30953112e+01
|
|
78
|
+
6.00000000e+00 -9.65076087e+01 3.82494984e+01 4.43696887e+02
|
|
79
|
+
7.00000000e+00 6.68508039e+01 -2.69055068e+02 2.68778271e+02
|
|
80
|
+
8.00000000e+00 1.61826220e+02 -6.16101179e+02 9.40180487e+01
|
|
81
|
+
1.20000000e+01 -2.58518873e+02 1.45907961e+02 5.69533996e+02
|
|
82
|
+
1.30000000e+01 -3.06899741e+02 2.56709646e+02 7.80318654e+02
|
|
83
|
+
1.40000000e+01 -2.91150775e+02 2.34990588e+02 8.29296035e+02
|
|
84
|
+
1.50000000e+01 -3.04247775e+02 2.52019722e+02 9.45553199e+02
|
|
85
|
+
1.70000000e+01 -1.79400132e+02 2.92171270e+02 7.55729802e+02
|
|
86
|
+
1.80000000e+01 -5.20104242e+01 3.65347682e+02 6.24995484e+02
|
|
87
|
+
1.90000000e+01 -1.02718965e+02 2.99483925e+02 4.98723743e+02
|
|
88
|
+
2.50000000e+01 -4.09352307e+02 1.93975152e+02 7.14750411e+02
|
|
89
|
+
2.60000000e+01 -4.23954628e+02 1.78219394e+02 5.56707436e+02
|
|
90
|
+
2.70000000e+01 -3.40793832e+02 7.70654439e+01 4.32489271e+02]
|
|
91
|
+
[ 0.00000000e+00 -1.83258422e+02 0.00000000e+00 4.35042329e+02
|
|
92
|
+
1.00000000e+00 -2.69141438e+02 -2.63085301e+01 4.33436573e+02
|
|
93
|
+
2.00000000e+00 -3.22843989e+02 -2.29503814e+02 2.33351408e+02
|
|
94
|
+
3.00000000e+00 -2.49089056e+02 -4.25338906e+02 6.22366608e+01
|
|
95
|
+
6.00000000e+00 -9.62222365e+01 2.63084252e+01 4.36699491e+02
|
|
96
|
+
7.00000000e+00 2.24034193e+01 -2.61309875e+02 2.67618882e+02
|
|
97
|
+
8.00000000e+00 1.54367858e+02 -6.31257693e+02 9.03736198e+01
|
|
98
|
+
1.20000000e+01 -2.61708369e+02 1.33295168e+02 5.65445867e+02
|
|
99
|
+
1.30000000e+01 -3.04922756e+02 2.29288790e+02 7.71281611e+02
|
|
100
|
+
1.40000000e+01 -2.96671126e+02 2.02390012e+02 8.17524615e+02
|
|
101
|
+
1.50000000e+01 -3.07083062e+02 2.14911454e+02 9.32979488e+02
|
|
102
|
+
1.70000000e+01 -1.77740030e+02 2.52453124e+02 7.47383699e+02
|
|
103
|
+
1.80000000e+01 -5.13091565e+01 3.06488767e+02 5.32897207e+02
|
|
104
|
+
1.90000000e+01 -1.01079298e+02 2.30852746e+02 4.52905218e+02
|
|
105
|
+
2.50000000e+01 -4.08161902e+02 1.81778994e+02 7.14943214e+02
|
|
106
|
+
2.60000000e+01 -4.25635673e+02 1.94786673e+02 5.55817881e+02
|
|
107
|
+
2.70000000e+01 -3.48699766e+02 7.13981633e+01 4.32973785e+02]
|
|
108
|
+
[ 0.00000000e+00 -1.83258422e+02 0.00000000e+00 4.31083807e+02
|
|
109
|
+
1.00000000e+00 -2.69222069e+02 -2.51180607e+01 4.33332432e+02
|
|
110
|
+
2.00000000e+00 -3.25934704e+02 -1.93407339e+02 2.28108064e+02
|
|
111
|
+
3.00000000e+00 -2.53702770e+02 -3.59127786e+02 4.89225389e+01
|
|
112
|
+
6.00000000e+00 -9.61937860e+01 2.51179491e+01 4.28834547e+02
|
|
113
|
+
7.00000000e+00 2.26103472e+01 -2.26777670e+02 2.62561894e+02
|
|
114
|
+
8.00000000e+00 1.03039696e+02 -5.54336616e+02 7.45365438e+01
|
|
115
|
+
1.20000000e+01 -2.61985829e+02 1.01464378e+02 5.71669076e+02
|
|
116
|
+
1.30000000e+01 -3.00941255e+02 1.74065238e+02 7.62925999e+02
|
|
117
|
+
1.40000000e+01 -2.95097294e+02 1.52275750e+02 8.06767647e+02
|
|
118
|
+
1.50000000e+01 -3.00980505e+02 1.60668815e+02 9.19519559e+02
|
|
119
|
+
1.70000000e+01 -1.75369209e+02 1.95730923e+02 7.31062363e+02
|
|
120
|
+
1.80000000e+01 -5.05824393e+01 2.45493816e+02 5.36234879e+02
|
|
121
|
+
1.90000000e+01 -1.00288191e+02 1.97739569e+02 3.96829745e+02
|
|
122
|
+
2.50000000e+01 -4.03172572e+02 1.30661343e+02 7.15751303e+02
|
|
123
|
+
2.60000000e+01 -4.18310200e+02 1.22591605e+02 5.59694285e+02
|
|
124
|
+
2.70000000e+01 -3.44089298e+02 1.75666075e+01 4.85209573e+02]
|
|
125
|
+
[ 0.00000000e+00 -1.83258422e+02 0.00000000e+00 4.22826726e+02
|
|
126
|
+
1.00000000e+00 -2.69093340e+02 -2.70186625e+01 4.25150822e+02
|
|
127
|
+
2.00000000e+00 -3.27155327e+02 -1.79151674e+02 2.18290989e+02
|
|
128
|
+
3.00000000e+00 -2.53517186e+02 -3.61791096e+02 4.94580930e+01
|
|
129
|
+
6.00000000e+00 -9.62392065e+01 2.70185173e+01 4.20503944e+02
|
|
130
|
+
7.00000000e+00 2.26819321e+01 -2.14831555e+02 2.46130949e+02
|
|
131
|
+
8.00000000e+00 1.02554880e+02 -5.70548934e+02 7.77617775e+01
|
|
132
|
+
1.20000000e+01 -2.71225440e+02 1.12754654e+02 5.48156290e+02
|
|
133
|
+
1.30000000e+01 -3.02861755e+02 2.00702637e+02 7.45415685e+02
|
|
134
|
+
1.40000000e+01 -2.86762109e+02 1.86403740e+02 7.93838576e+02
|
|
135
|
+
1.50000000e+01 -2.85236388e+02 1.97226956e+02 9.09216875e+02
|
|
136
|
+
1.70000000e+01 -1.68337997e+02 2.25596800e+02 7.14209857e+02
|
|
137
|
+
1.80000000e+01 -5.11199712e+01 2.90610032e+02 5.33633260e+02
|
|
138
|
+
1.90000000e+01 -1.01887630e+02 2.64686903e+02 3.90702028e+02
|
|
139
|
+
2.50000000e+01 -4.05007822e+02 1.49464204e+02 7.15454060e+02
|
|
140
|
+
2.60000000e+01 -4.19430822e+02 1.33635721e+02 5.92066152e+02
|
|
141
|
+
2.70000000e+01 -3.47084748e+02 5.25413110e+01 4.99183224e+02]
|
|
142
|
+
[ 0.00000000e+00 -1.71225668e+02 0.00000000e+00 4.26701844e+02
|
|
143
|
+
1.00000000e+00 -2.45462457e+02 -2.33336006e+01 4.32831900e+02
|
|
144
|
+
2.00000000e+00 -3.38798005e+02 -4.31767948e+01 1.98416034e+02
|
|
145
|
+
3.00000000e+00 -2.75435091e+02 -4.62111344e+01 -1.40005838e+01
|
|
146
|
+
6.00000000e+00 -9.61059687e+01 2.33335185e+01 4.20524116e+02
|
|
147
|
+
7.00000000e+00 2.32538677e+01 -1.19386758e+02 1.94039786e+02
|
|
148
|
+
8.00000000e+00 1.13270715e+02 -2.12209752e+02 4.27598550e+00
|
|
149
|
+
```
|
|
5
150
|
```3点座標の格納
|
|
6
151
|
A =([ a,b,c ])
|
|
7
152
|
B =([ d,e,f ])
|