others - python - 如何将两个列表的列表合并为一个列表的列表

我有两个列表dat1,dat2


# means


m1, m2 = [2, 2], [1, -1]


# covariance


cv1, cv2 = [[0.8, 0.4], [0.4, 0.8]], [[1.3, -0.7], [-0.7, 1.3]]


dat1 = np.random.multivariate_normal(m1, cv1, 10)


dat2 = np.random.multivariate_normal(m2, cv2, 10)



>>>dat1


array([[2.41897704, 1.01060023],


 [2.59949247, 1.93349966],


 [2.65142916, 2.58018331],


 [2.17005156, 3.17732589],


 [3.02638605, 2.8026237 ],


 [2.98480009, 3.27263144],


 [2.43494798, 1.88818356],


 [3.3352379 , 2.22139406],


 [1.47718545, 1.77338061],


 [0.21706158, 2.74841337]])



如果我尝试


TRAINING_DATA = [c+d for c, d in zip(dat1, dat2)]



我得到


>>>TRAINING_DATA


[array([ 3.57377544, -0.89898446]), array([4.11181782, 0.23353741]), ...]



如何将dat2追加到dat1,使它看起来像


>>>TRAINING_DATA


array([[3.57377544, -0.89898446],


 [4.11181782, 0.23353741],


 ...


 ])




时间:

尝试将两个数组连接在一起,把dat2附加到dat1。


TRAINING_DATA = np.concatenate((dat1, dat2), axis=0)



[[ 1.50548361 1.48826683]


 [ 2.29344 3.53410247]


 [ 3.19513868 0.94069523]


 [ 1.81553839 0.61394121]


 [ 1.84940489 2.51819747]


 [ 1.9253743 2.01885069]


 [ 2.19767682 1.81290866]


 [ 2.6041682 2.04656255]


 [ 1.14421244 1.43839062]


 [ 2.12712095 1.50493227]


 [ 0.0252174 -1.54414803]


 [ 1.94548543 -1.71105078]


 [ 0.42478946 -0.65312376]


 [ 0.18242194 -1.08179918]


 [-0.33842747 -1.39057522]


 [-0.19844272 0.28873601]


 [-0.03024569 -1.20532982]


 [ 2.91372093 -1.90649743]


 [ 0.64701937 -1.90869586]


 [ 0.99986509 -0.92723385]]



阅读文档:numpy.concatenate

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