質問編集履歴
2
[画像が分かりづらかったので削除(下に修正後の画像を追加)]
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```
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[画像が分かりづらかったので削除(下に修正後の画像を追加)]
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コードを修正しました
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### 試したこと
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[追記]
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自分で試したところ、プロットする点を小さくすれば良いとわかったので、修正後のコードを載せておきます
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```python
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import matplotlib.pyplot as plt
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import random
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plt.style.use('ggplot')
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68
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sample_size=1000
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A=np.random.random((sample_size,2))
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B=np.random.random((sample_size,2))
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# 順番１
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plt.figure(figsize=(2,2))
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plt.scatter(A[:,0],A[:,1],alpha=0.5,c='red')
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plt.scatter(B[:,0],B[:,1],alpha=0.5,c='blue')
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plt.title('fig.1')
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plt.show()
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# 順番２（反転）
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plt.figure(figsize=(2,2))
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plt.scatter(A[:,0],A[:,1],alpha=0.5,c='blue')
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plt.scatter(B[:,0],B[:,1],alpha=0.5,c='red')
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plt.title('fig.2')
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plt.show()
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# 対策１
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# サンプル数を減らす
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# めんどくさい
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plt.figure(figsize=(2,2))
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for i in range(2):
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indices=random.sample(range(sample_size),int(sample_size/10))
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A_part=A[indices]
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B_part=B[indices]
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plt.scatter(A_part[:,0],A_part[:,1],alpha=0.5,c='red')
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plt.scatter(B_part[:,0],B_part[:,1],alpha=0.5,c='blue')
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plt.title('fig.3')
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plt.show()
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# 対策２交互にプロットする
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# 時間がかかりすぎる
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plt.figure(figsize=(2,2))
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for i in range(sample_size):
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#for i in range(int(sample_size/100)):
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plt.scatter(A[i,0],A[i,1],alpha=0.5,c='blue')
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plt.scatter(B[i,0],B[i,1],alpha=0.5,c='red')
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plt.title('fig.4')
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plt.show()
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# 対策3 図を大きくする、点を小さくする
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plt.figure(figsize=(4,4))
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plt.scatter(A[:,0],A[:,1],alpha=0.5,c='blue',s=5)
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plt.scatter(B[:,0],B[:,1],alpha=0.5,c='red',s=5)
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plt.title('fig.5')
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plt.show()
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```
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