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# 801YutaKa108/numpy_linspace.py

Created April 26, 2020 05:12
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 import numpy as np import matplotlib.pyplot as plt # linspace(start, stop) x = np.linspace(0, 10) # x → array([ 0. , 0.20408163, 0.40816327, 0.6122449 , 0.81632653, # 1.02040816, 1.2244898 , 1.42857143, 1.63265306, 1.83673469, # 2.04081633, 2.24489796, 2.44897959, 2.65306122, 2.85714286, # 3.06122449, 3.26530612, 3.46938776, 3.67346939, 3.87755102, # 4.08163265, 4.28571429, 4.48979592, 4.69387755, 4.89795918, # 5.10204082, 5.30612245, 5.51020408, 5.71428571, 5.91836735, # 6.12244898, 6.32653061, 6.53061224, 6.73469388, 6.93877551, # 7.14285714, 7.34693878, 7.55102041, 7.75510204, 7.95918367, # 8.16326531, 8.36734694, 8.57142857, 8.7755102 , 8.97959184, # 9.18367347, 9.3877551 , 9.59183673, 9.79591837, 10. ]) # x.size → 50 # 簡単なグラフ作成例 x = np.linspace(-2, 2) y = x**2 plt.xlabel("x") plt.ylabel("y") plt.plot(x, y) plt.show() # linspace(start, stop, num) x = np.linspace(0, 3.14, 5) # x → array([0. , 0.785, 1.57 , 2.355, 3.14 ]) # endpointの指定 x1 = np.linspace(0, 10, 5, endpoint=True) # x → array([ 0. , 2.5, 5. , 7.5, 10. ]) x2 = np.linspace(0, 10, 5, endpoint=False) # y → array([0., 2., 4., 6., 8.]) # pyplotで出力 plt.plot(x1, np.zeros_like(x), "o", label="endpoint=True") plt.plot(x2, np.zeros_like(x)+0.5, "o", label="endpoint=False") plt.ylim([-0.5, 1]) plt.show() # retstepでstep取得 x, step = np.linspace(0, 3.14, 5, retstep=True) # x → array([0. , 0.785, 1.57 , 2.355, 3.14 ]) # step → 0.785 # startとstopを配列で指定 x = np.linspace([0,10], [5,20], 3, axis=0) # x → array([[ 0. , 10. ], # [ 2.5, 15. ], # [ 5. , 20. ]]) x = np.linspace([0,10], [5,20], 3, axis=1) # x → array([[ 0. , 2.5, 5. ], # [10. , 15. , 20. ]]) # arangeとlinspaceの違い x = np.arange(0, 100, 25) # x → array([ 0, 10, 20, 30, 40, 50, 60, 70, 80, 90]) y = np.linspace(0, 100, 10) # y → array([ 0. , 11.11111111, 22.22222222, 33.33333333, # 44.44444444, 55.55555556, 66.66666667, 77.77777778, # 88.88888889, 100. ]) # arangeとlinspaceの違い（最小限の引数） x = np.arange(0, 50) # x → array([ 0, 1, 2, 3,..., 49]) #1ずつ増える y = np.linspace(0, 10) # y → array([ 0. , 0.20408163, 0.40816327,..., 10.]) #50要素
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