python - Create 2 dimensional array with 2 one dimensional array -
i used numpy , scipy , there function care dimension of array have function name covexhull(point) accept point 2 dimensional array.
hull = convexhull(points)
in [1]: points.ndim out[1]: 2 in [2]: points.shape out[2]: (10, 2) in [3]: points out[3]: array([[ 0. , 0. ], [ 1. , 0.8], [ 0.9, 0.8], [ 0.9, 0.7], [ 0.9, 0.6], [ 0.8, 0.5], [ 0.8, 0.5], [ 0.7, 0.5], [ 0.1, 0. ], [ 0. , 0. ]]) as can see above points numpy ndim 2.
now have 2 different numpy array (tp , fp) (for example fp)
in [4]: fp.ndim out[4]: 1 in [5]: fp.shape out[5]: (10,) in [6]: fp out[6]: array([ 0. , 0.1, 0.2, 0.3, 0.4, 0.4, 0.5, 0.6, 0.9, 1. ]) my question how can create 2 dimensional numpy array points tp , fp
if wish combine 2 10 element 1-d arrays 2-d array np.vstack((tp, fp)).t it. np.vstack((tp, fp)) return array of shape (2, 10), , t attribute returns transposed array shape (10, 2) (i.e. 2 1-d arrays forming columns rather rows).
>>> tp = np.array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9]) >>> tp.ndim 1 >>> tp.shape (10,) >>> fp = np.array([10, 11, 12, 13, 14, 15, 16, 17, 18, 19]) >>> fp.ndim 1 >>> fp.shape (10,) >>> combined = np.vstack((tp, fp)).t >>> combined array([[ 0, 10], [ 1, 11], [ 2, 12], [ 3, 13], [ 4, 14], [ 5, 15], [ 6, 16], [ 7, 17], [ 8, 18], [ 9, 19]]) >>> combined.ndim 2 >>> combined.shape (10, 2) 
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