{"action":"created","issue":{"url":"https://api.github.com/repos/numpy/numpy/issues/5578","labels_url":"https://api.github.com/repos/numpy/numpy/issues/5578/labels{/name}","comments_url":"https://api.github.com/repos/numpy/numpy/issues/5578/comments","events_url":"https://api.github.com/repos/numpy/numpy/issues/5578/events","html_url":"https://github.com/numpy/numpy/issues/5578","id":57997596,"number":5578,"title":"wrong eigenvectors when using linalg.eig","user":{"login":"aloctavodia","id":1338958,"avatar_url":"https://avatars.githubusercontent.com/u/1338958?v=3","gravatar_id":"","url":"https://api.github.com/users/aloctavodia","html_url":"https://github.com/aloctavodia","followers_url":"https://api.github.com/users/aloctavodia/followers","following_url":"https://api.github.com/users/aloctavodia/following{/other_user}","gists_url":"https://api.github.com/users/aloctavodia/gists{/gist_id}","starred_url":"https://api.github.com/users/aloctavodia/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/aloctavodia/subscriptions","organizations_url":"https://api.github.com/users/aloctavodia/orgs","repos_url":"https://api.github.com/users/aloctavodia/repos","events_url":"https://api.github.com/users/aloctavodia/events{/privacy}","received_events_url":"https://api.github.com/users/aloctavodia/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"milestone":null,"comments":1,"created_at":"2015-02-17T23:11:20Z","updated_at":"2015-02-17T23:24:49Z","closed_at":"2015-02-17T23:24:49Z","body":"```python \r\nimport numpy as np\r\nA = np.array([[1,2], \r\n            [0,1]])\r\n\r\nnp.linalg.eig(A)\r\n```\r\nreturns\r\n\r\n[[  1.00000000e+00  -1.00000000e+00]\r\n [  0.00000000e+00   1.11022302e-16]]\r\nThe second eigenvector is [0, 0], that is OK, but for the first one I was expecting [1, 0] like in [here](http://www.wolframalpha.com/input/?i=eigenvectors%28%5B1%2C+2%5D%2C+%5B0%2C++1%5D%29) \r\n\r\nIt is also easy to check that the correct solution should be [1, 0] and not [1, -1].\r\n\r\nIs this a bug or the expected behaviour? Am I doing something wrong?"},"comment":{"url":"https://api.github.com/repos/numpy/numpy/issues/comments/74777755","html_url":"https://github.com/numpy/numpy/issues/5578#issuecomment-74777755","issue_url":"https://api.github.com/repos/numpy/numpy/issues/5578","id":74777755,"user":{"login":"charris","id":77272,"avatar_url":"https://avatars.githubusercontent.com/u/77272?v=3","gravatar_id":"","url":"https://api.github.com/users/charris","html_url":"https://github.com/charris","followers_url":"https://api.github.com/users/charris/followers","following_url":"https://api.github.com/users/charris/following{/other_user}","gists_url":"https://api.github.com/users/charris/gists{/gist_id}","starred_url":"https://api.github.com/users/charris/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/charris/subscriptions","organizations_url":"https://api.github.com/users/charris/orgs","repos_url":"https://api.github.com/users/charris/repos","events_url":"https://api.github.com/users/charris/events{/privacy}","received_events_url":"https://api.github.com/users/charris/received_events","type":"User","site_admin":false},"created_at":"2015-02-17T23:24:49Z","updated_at":"2015-02-17T23:24:49Z","body":"The eigenvectors are in the columns ;)"}}