当使用numpy对稀疏矩阵进行合并时出现异常(对于密集(dense)矩阵没有问题)
ValueError: all the input arrays must have same number of dimensions
操作涉及到np.hstack((m1,m2)),np.column_stack((m1,m2)),np.concatenate([m1, m2], axis=1)等
解决方案来源于:http://www.it1352.com/239795.html
m1 = sparse.rand(10, 10000) m2 = np.random.random((10, 1)) print 'm1 shape:', m1.shape print 'm2 shape:', m2.shape print 'Stacked shape:', np.hstack((m1,m2)).shape
异常出现
解决方案:
X = sparse.rand(10, 10000)
xt = np.random.random((10, 1))
res = sparse.hstack((X,xt)).toarray()
print('X shape:', X.shape)
print('xt shape:', xt.shape)
print('Stacked shape:', res.shape)