{"action":"created","comment":{"url":"https://api.github.com/repos/pandas-dev/pandas/pulls/comments/142039508","pull_request_review_id":66345291,"id":142039508,"diff_hunk":"@@ -1859,14 +1856,14 @@ def test_dataframe_clip(self):\n             assert (clipped_df.values[ub_mask] == ub).all()\n             assert (clipped_df.values[mask] == df.values[mask]).all()\n \n-    @pytest.mark.xfail(reason=(\"clip on mixed integer or floats \"\n-                               \"with integer clippers coerces to float\"))\n     def test_clip_mixed_numeric(self):\n-\n+        # TODO(jreback)\n+        # clip on mixed integer or floats\n+        # with integer clippers coerces to float\n         df = DataFrame({'A': [1, 2, 3],\n                         'B': [1., np.nan, 3.]})\n         result = df.clip(1, 2)\n-        expected = DataFrame({'A': [1, 2, 2],\n+        expected = DataFrame({'A': [1, 2, 2.],","path":"pandas/tests/frame/test_analytics.py","position":152,"original_position":152,"commit_id":"bb33485f0b0f91cfd9cb5926945e1f74e56ec529","original_commit_id":"bb33485f0b0f91cfd9cb5926945e1f74e56ec529","user":{"login":"jorisvandenbossche","id":1020496,"avatar_url":"https://avatars2.githubusercontent.com/u/1020496?v=4","gravatar_id":"","url":"https://api.github.com/users/jorisvandenbossche","html_url":"https://github.com/jorisvandenbossche","followers_url":"https://api.github.com/users/jorisvandenbossche/followers","following_url":"https://api.github.com/users/jorisvandenbossche/following{/other_user}","gists_url":"https://api.github.com/users/jorisvandenbossche/gists{/gist_id}","starred_url":"https://api.github.com/users/jorisvandenbossche/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/jorisvandenbossche/subscriptions","organizations_url":"https://api.github.com/users/jorisvandenbossche/orgs","repos_url":"https://api.github.com/users/jorisvandenbossche/repos","events_url":"https://api.github.com/users/jorisvandenbossche/events{/privacy}","received_events_url":"https://api.github.com/users/jorisvandenbossche/received_events","type":"User","site_admin":false},"body":"is this related ?","created_at":"2017-10-01T20:10:16Z","updated_at":"2017-10-01T20:14:40Z","html_url":"https://github.com/pandas-dev/pandas/pull/17630#discussion_r142039508","pull_request_url":"https://api.github.com/repos/pandas-dev/pandas/pulls/17630","author_association":"OWNER","_links":{"self":{"href":"https://api.github.com/repos/pandas-dev/pandas/pulls/comments/142039508"},"html":{"href":"https://github.com/pandas-dev/pandas/pull/17630#discussion_r142039508"},"pull_request":{"href":"https://api.github.com/repos/pandas-dev/pandas/pulls/17630"}}},"pull_request":{"url":"https://api.github.com/repos/pandas-dev/pandas/pulls/17630","id":142602434,"html_url":"https://github.com/pandas-dev/pandas/pull/17630","diff_url":"https://github.com/pandas-dev/pandas/pull/17630.diff","patch_url":"https://github.com/pandas-dev/pandas/pull/17630.patch","issue_url":"https://api.github.com/repos/pandas-dev/pandas/issues/17630","number":17630,"state":"open","locked":false,"title":"COMPAT: sum/prod on all nan will remain nan regardless of bottleneck install","user":{"login":"jreback","id":953992,"avatar_url":"https://avatars2.githubusercontent.com/u/953992?v=4","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},"body":"xref #15507\r\ncloses 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