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トップに関する質問3D散布図でサンプルのグループ番号ごとにグラデーションで色分け

編集履歴

質問編集履歴

2

エラーが出るコードを追記

2020/03/16 00:42

投稿

teruque
teruque

スコア6

test CHANGED
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test CHANGED
@@ -108,7 +108,7 @@
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- ##該当のソースコード
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+ ##グラデーションになっていないがグラフはできるソースコード
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@@ -162,7 +162,61 @@
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  ```
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-
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+ ##グラデーションにしようとしてエラーが出るソースコード
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+
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+ ```Python
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+
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+ import pandas as pd
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+
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+ import matplotlib.pyplot as plt
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+
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+ from mpl_toolkits.mplot3d import Axes3D
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+
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+ import matplotlib.colors as mcolors
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+
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+
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+
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+ df = pd.read_csv(r"test.csv", delimiter=",", sep='\s+', skipinitialspace=True)
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+
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+
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+
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+ fig = plt.figure()
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+
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+ ax = Axes3D(fig)
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+
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+
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+
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+ samples = sorted(set(df['sample']))
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+
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+ cmapval = df['sample']
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+
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+
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+
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+
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+
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+ # sample毎に描画
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+
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+ for idx, sample in enumerate(samples):
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+
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+ df2 = df[df['sample'] == sample]
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+
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+ X = df2["PC1"]
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+
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+ Y = df2["PC2"]
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+
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+ Z = df2["PC3"]
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+
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+ p=ax.scatter(X, Y, Z, c=cmapval, cmap='hsv', label=sample)
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+
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+
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+
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+ plt.legend()
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+
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+ plt.show()
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+
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+
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+
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+ ```
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  ##補足情報（FW/ツールのバージョンなど）
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1

データをカンマ区切りに修正しました。

2020/03/16 00:42

投稿

teruque
teruque

スコア6

test CHANGED
File without changes
test CHANGED
@@ -10,107 +10,109 @@
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  ###Data
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- PC1 PC2 PC3 sample
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+ PC1,PC2,PC3,sample
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- -0.1413928 0.02173982 -4.15E-01 1
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+ -0.1413928,0.02173982,-4.15E-01,1
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- -0.1413101 0.017508996 -4.21E-01 1
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+ -0.1413101,0.017508996,-4.21E-01,1
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- -0.1417087 0.014979086 -4.08E-01 1
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+ -0.1417087,0.014979086,-4.08E-01,1
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- -0.1411702 0.008670829 -4.09E-01 1
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+ -0.1411702,0.008670829,-4.09E-01,1
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- -0.145876 0.123370613 -1.03E-01 2
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+ -0.145876,0.123370613,-1.03E-01,2
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- -0.1433736 0.124895934 -1.41E-01 2
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+ -0.1433736,0.124895934,-1.41E-01,2
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- -0.1456516 0.092020696 -1.09E-01 3
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+ -0.1456516,0.092020696,-1.09E-01,3
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- -0.1461915 0.094471875 -1.18E-01 3
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+ -0.1461915,0.094471875,-1.18E-01,3
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- -0.1461108 0.090837929 -1.21E-01 3
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+ -0.1461108,0.090837929,-1.21E-01,3
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- -0.1472447 0.119571378 -4.57E-02 4
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+ -0.1472447,0.119571378,-4.57E-02,4
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- -0.1472894 0.115520249 -4.68E-02 4
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+ -0.1472894,0.115520249,-4.68E-02,4
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- -0.1467504 0.121762527 -4.68E-02 4
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+ -0.1467504,0.121762527,-4.68E-02,4
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- -0.1491286 0.090455109 9.15E-02 5
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+ -0.1491286,0.090455109,9.15E-02,5
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- -0.1487338 0.09812073 9.12E-02 5
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+ -0.1487338,0.09812073,9.12E-02,5
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- -0.1489169 0.072974728 1.14E-01 6
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+ -0.1489169,0.072974728,1.14E-01,6
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- -0.1490467 0.085162278 1.12E-01 6
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+ -0.1490467,0.085162278,1.12E-01,6
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- -0.1489641 0.08360632 1.23E-01 7
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+ -0.1489641,0.08360632,1.23E-01,7
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- -0.148754 0.088689326 1.12E-01 7
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+ -0.148754,0.088689326,1.12E-01,7
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- -0.1487234 0.090154785 1.12E-01 7
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+ -0.1487234,0.090154785,1.12E-01,7
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- -0.1490534 0.096598206 9.36E-02 8
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+ -0.1490534,0.096598206,9.36E-02,8
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- -0.149099 0.096547726 8.85E-02 8
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+ -0.149099,0.096547726,8.85E-02,8
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- -0.1491893 0.096628792 1.14E-01 9
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+ -0.1491893,0.096628792,1.14E-01,9
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- -0.1490337 0.10319152 1.07E-01 9
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+ -0.1490337,0.10319152,1.07E-01,9
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- -0.1490627 0.102746721 1.06E-01 9
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+ -0.1490627,0.102746721,1.06E-01,9
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- -0.1479182 0.114529747 1.13E-01 10
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+ -0.1479182,0.114529747,1.13E-01,10
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- -0.1483447 0.106218026 1.26E-01 10
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+ -0.1483447,0.106218026,1.26E-01,10
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- -0.1483964 0.106148189 1.23E-01 11
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+ -0.1483964,0.106148189,1.23E-01,11
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- -0.1482859 0.103531061 1.23E-01 11
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+ -0.1482859,0.103531061,1.23E-01,11
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- -0.1487256 0.110975705 9.76E-02 12
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+ -0.1487256,0.110975705,9.76E-02,12
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- -0.1481255 0.126683827 9.22E-02 12
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+ -0.1481255,0.126683827,9.22E-02,12
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- -0.1479033 0.130060792 8.73E-02 12
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+ -0.1479033,0.130060792,8.73E-02,12
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- -0.1359165 0.061005493 -7.12E-02 13
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+ -0.1359165,0.061005493,-7.12E-02,13
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- -0.1372293 0.073245259 -4.54E-02 13
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+ -0.1372293,0.073245259,-4.54E-02,13
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- -0.1464516 -0.153001981 2.27E-03 14
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+ -0.1464516,-0.153001981,2.27E-03,14
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- -0.1449456 -0.204644258 9.43E-03 14
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+ -0.1449456,-0.204644258,9.43E-03,14
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- -0.1474867 -0.111179279 -4.29E-05 15
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+ -0.1474867,-0.111179279,-4.29E-05,15
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- -0.1463186 -0.170116339 1.78E-02 15
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+ -0.1463186,-0.170116339,1.78E-02,15
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- -0.1458789 -0.176175751 2.37E-02 15
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+ -0.1458789,-0.176175751,2.37E-02,15
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- -0.142477 -0.255583393 3.95E-02 16
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+ -0.142477,-0.255583393,3.95E-02,16
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- -0.143537 -0.25325231 3.06E-02 16
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+ -0.143537,-0.25325231,3.06E-02,16
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- -0.1428187 -0.278201657 2.85E-02 16
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+ -0.1428187,-0.278201657,2.85E-02,16
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- -0.1427046 -0.253661164 3.15E-02 17
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+ -0.1427046,-0.253661164,3.15E-02,17
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- -0.1432171 -0.270822563 2.90E-02 17
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+ -0.1432171,-0.270822563,2.90E-02,17
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- -0.1431351 -0.272426721 2.78E-02 17
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+ -0.1431351,-0.272426721,2.78E-02,17
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- -0.1442404 -0.212473411 5.68E-02 18
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+ -0.1442404,-0.212473411,5.68E-02,18
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- -0.1442105 -0.220104095 4.73E-02 18
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+ -0.1442105,-0.220104095,4.73E-02,18
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- -0.1439502 -0.216082524 3.67E-02 18
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+ -0.1439502,-0.216082524,3.67E-02,18
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  ##該当のソースコード
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+
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+ ```python
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  import pandas as pd
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@@ -122,7 +124,7 @@
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- df = pd.read_csv(r"ファイルパス", delimiter=",", sep='\s+', skipinitialspace=True)
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+ df = pd.read_csv(r"test.csv", delimiter=",", sep='\s+', skipinitialspace=True)
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@@ -138,7 +140,7 @@
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- sample毎に描画
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+ # sample毎に描画
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  for idx, sample in enumerate(samples):
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@@ -158,6 +160,8 @@
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  plt.show()
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+ ```
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+
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  ##補足情報（FW/ツールのバージョンなど）