{"action":"created","issue":{"url":"https://api.github.com/repos/pydata/pandas/issues/12359","repository_url":"https://api.github.com/repos/pydata/pandas","labels_url":"https://api.github.com/repos/pydata/pandas/issues/12359/labels{/name}","comments_url":"https://api.github.com/repos/pydata/pandas/issues/12359/comments","events_url":"https://api.github.com/repos/pydata/pandas/issues/12359/events","html_url":"https://github.com/pydata/pandas/pull/12359","id":134131304,"number":12359,"title":"ENH: always make ndarrays from msgpack writable","user":{"login":"llllllllll","id":3064397,"avatar_url":"https://avatars.githubusercontent.com/u/3064397?v=3","gravatar_id":"","url":"https://api.github.com/users/llllllllll","html_url":"https://github.com/llllllllll","followers_url":"https://api.github.com/users/llllllllll/followers","following_url":"https://api.github.com/users/llllllllll/following{/other_user}","gists_url":"https://api.github.com/users/llllllllll/gists{/gist_id}","starred_url":"https://api.github.com/users/llllllllll/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/llllllllll/subscriptions","organizations_url":"https://api.github.com/users/llllllllll/orgs","repos_url":"https://api.github.com/users/llllllllll/repos","events_url":"https://api.github.com/users/llllllllll/events{/privacy}","received_events_url":"https://api.github.com/users/llllllllll/received_events","type":"User","site_admin":false},"labels":[{"url":"https://api.github.com/repos/pydata/pandas/labels/Msgpack","name":"Msgpack","color":"eb6420"},{"url":"https://api.github.com/repos/pydata/pandas/labels/Performance","name":"Performance","color":"a10c02"}],"state":"open","locked":false,"assignee":null,"milestone":{"url":"https://api.github.com/repos/pydata/pandas/milestones/38","html_url":"https://github.com/pydata/pandas/milestones/0.18.1","labels_url":"https://api.github.com/repos/pydata/pandas/milestones/38/labels","id":1570594,"number":38,"title":"0.18.1","description":"after 0.18.0 of course!","creator":{"login":"jreback","id":953992,"avatar_url":"https://avatars.githubusercontent.com/u/953992?v=3","gravatar_id":"","url":"https://api.github.com/users/jreback","html_url":"https://github.com/jreback","followers_url":"https://api.github.com/users/jreback/followers","following_url":"https://api.github.com/users/jreback/following{/other_user}","gists_url":"https://api.github.com/users/jreback/gists{/gist_id}","starred_url":"https://api.github.com/users/jreback/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/jreback/subscriptions","organizations_url":"https://api.github.com/users/jreback/orgs","repos_url":"https://api.github.com/users/jreback/repos","events_url":"https://api.github.com/users/jreback/events{/privacy}","received_events_url":"https://api.github.com/users/jreback/received_events","type":"User","site_admin":false},"open_issues":153,"closed_issues":36,"state":"open","created_at":"2016-02-08T15:29:59Z","updated_at":"2016-03-17T23:46:50Z","due_on":"2016-04-26T04:00:00Z","closed_at":null},"comments":28,"created_at":"2016-02-16T23:55:01Z","updated_at":"2016-03-17T23:48:26Z","closed_at":null,"pull_request":{"url":"https://api.github.com/repos/pydata/pandas/pulls/12359","html_url":"https://github.com/pydata/pandas/pull/12359","diff_url":"https://github.com/pydata/pandas/pull/12359.diff","patch_url":"https://github.com/pydata/pandas/pull/12359.patch"},"body":"Addresses the case where 'compress' was not none. The old implementation\r\nwould decompress the data and then call np.frombuffer on a bytes\r\nobject. Because a bytes object is not a mutable buffer, the resulting\r\nndarray had writeable=False. The new implementation ensures that the\r\npandas is the only owner of this new buffer and then sets it to mutable\r\nwithout copying it. This means that we don't need to do a copy of the\r\ndata coming in AND we can mutate it later. If we are not the only owner\r\nof this data then we just copy it with np.fromstring."},"comment":{"url":"https://api.github.com/repos/pydata/pandas/issues/comments/198135031","html_url":"https://github.com/pydata/pandas/pull/12359#issuecomment-198135031","issue_url":"https://api.github.com/repos/pydata/pandas/issues/12359","id":198135031,"user":{"login":"jreback","id":953992,"avatar_url":"https://avatars.githubusercontent.com/u/953992?v=3","gravatar_id":"","url":"https://api.github.com/users/jreback","html_url":"https://github.com/jreback","followers_url":"https://api.github.com/users/jreback/followers","following_url":"https://api.github.com/users/jreback/following{/other_user}","gists_url":"https://api.github.com/users/jreback/gists{/gist_id}","starred_url":"https://api.github.com/users/jreback/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/jreback/subscriptions","organizations_url":"https://api.github.com/users/jreback/orgs","repos_url":"https://api.github.com/users/jreback/repos","events_url":"https://api.github.com/users/jreback/events{/privacy}","received_events_url":"https://api.github.com/users/jreback/received_events","type":"User","site_admin":false},"created_at":"2016-03-17T23:48:26Z","updated_at":"2016-03-17T23:48:26Z","body":"you *could* set this up with appveyor (just create an account), all of the setup will build on your PR's. but its VERY slow. I do with a local vm."}}