The syntax of linspace:
linspace(start, stop, num=50, endpoint=True, retstep=False)
Example:
>>> x=np.linspace(1,10)
>>> x
array([ 1. , 1.18367347, 1.36734694, 1.55102041,
1.73469388, 1.91836735, 2.10204082, 2.28571429,
2.46938776, 2.65306122, 2.83673469, 3.02040816,
3.20408163, 3.3877551 , 3.57142857, 3.75510204,
3.93877551, 4.12244898, 4.30612245, 4.48979592,
4.67346939, 4.85714286, 5.04081633, 5.2244898 ,
5.40816327, 5.59183673, 5.7755102 , 5.95918367,
6.14285714, 6.32653061, 6.51020408, 6.69387755,
6.87755102, 7.06122449, 7.24489796, 7.42857143,
7.6122449 , 7.79591837, 7.97959184, 8.16326531,
8.34693878, 8.53061224, 8.71428571, 8.89795918,
9.08163265, 9.26530612, 9.44897959, 9.63265306,
9.81632653, 10. ])
>>> x=np.linspace(1,10,7)
>>> x
array([ 1. , 2.5, 4. , 5.5, 7. , 8.5, 10. ])
linspace(start, stop, num=50, endpoint=True, retstep=False)
Example:
>>> x=np.linspace(1,10)
>>> x
array([ 1. , 1.18367347, 1.36734694, 1.55102041,
1.73469388, 1.91836735, 2.10204082, 2.28571429,
2.46938776, 2.65306122, 2.83673469, 3.02040816,
3.20408163, 3.3877551 , 3.57142857, 3.75510204,
3.93877551, 4.12244898, 4.30612245, 4.48979592,
4.67346939, 4.85714286, 5.04081633, 5.2244898 ,
5.40816327, 5.59183673, 5.7755102 , 5.95918367,
6.14285714, 6.32653061, 6.51020408, 6.69387755,
6.87755102, 7.06122449, 7.24489796, 7.42857143,
7.6122449 , 7.79591837, 7.97959184, 8.16326531,
8.34693878, 8.53061224, 8.71428571, 8.89795918,
9.08163265, 9.26530612, 9.44897959, 9.63265306,
9.81632653, 10. ])
>>> x=np.linspace(1,10,7)
>>> x
array([ 1. , 2.5, 4. , 5.5, 7. , 8.5, 10. ])
>>> samples, spacing = np.linspace(1, 10, retstep=True)
>>> samples
array([ 1. , 1.18367347, 1.36734694, 1.55102041,
1.73469388, 1.91836735, 2.10204082, 2.28571429,
2.46938776, 2.65306122, 2.83673469, 3.02040816,
3.20408163, 3.3877551 , 3.57142857, 3.75510204,
3.93877551, 4.12244898, 4.30612245, 4.48979592,
4.67346939, 4.85714286, 5.04081633, 5.2244898 ,
5.40816327, 5.59183673, 5.7755102 , 5.95918367,
6.14285714, 6.32653061, 6.51020408, 6.69387755,
6.87755102, 7.06122449, 7.24489796, 7.42857143,
7.6122449 , 7.79591837, 7.97959184, 8.16326531,
8.34693878, 8.53061224, 8.71428571, 8.89795918,
9.08163265, 9.26530612, 9.44897959, 9.63265306,
9.81632653, 10. ])
>>> spacing
0.1836734693877551
>>> samples, spacing = np.linspace(1, 10, 20, endpoint=True, retstep=True)
>>> samples
array([ 1. , 1.47368421, 1.94736842, 2.42105263,
2.89473684, 3.36842105, 3.84210526, 4.31578947,
4.78947368, 5.26315789, 5.73684211, 6.21052632,
6.68421053, 7.15789474, 7.63157895, 8.10526316,
8.57894737, 9.05263158, 9.52631579, 10. ])
>>> spacing
0.47368421052631576
>>> samples, spacing = np.linspace(1, 10, 20, endpoint=True, retstep=True)
>>> samples
array([ 1. , 1.47368421, 1.94736842, 2.42105263,
2.89473684, 3.36842105, 3.84210526, 4.31578947,
4.78947368, 5.26315789, 5.73684211, 6.21052632,
6.68421053, 7.15789474, 7.63157895, 8.10526316,
8.57894737, 9.05263158, 9.52631579, 10. ])
>>> spacing
0.47368421052631576
>>> samples, spacing = np.linspace(1, 10, 20, endpoint=False, retstep=True)
>>> samples
array([ 1. , 1.45, 1.9 , 2.35, 2.8 , 3.25, 3.7 , 4.15, 4.6 ,
5.05, 5.5 , 5.95, 6.4 , 6.85, 7.3 , 7.75, 8.2 , 8.65,
9.1 , 9.55])
>>> spacing
0.45
>>>
