{"action":"created","comment":{"url":"https://api.github.com/repos/pandas-dev/pandas/pulls/comments/149364554","pull_request_review_id":74743970,"id":149364554,"diff_hunk":"@@ -0,0 +1,50 @@\n+\"\"\" test DataFrame-boxed versions of the scalar Timestamp \"\"\"\n+from datetime import datetime\n+\n+import numpy as np\n+\n+import pandas.util.testing as tm\n+from pandas.tseries import offsets\n+\n+from pandas.compat import lrange\n+from pandas import (Timestamp, date_range,\n+                    Series, DataFrame, DatetimeIndex)\n+\n+\n+class TestDataFrameTimestamps(object):\n+    def test_series_map_box_timestamps(self):\n+        # GH#2689, GH#2627\n+        s = Series(date_range('1/1/2000', periods=10))\n+\n+        def f(x):\n+            return (x.hour, x.day, x.month)\n+\n+        # it works!\n+        s.map(f)\n+        s.apply(f)\n+        DataFrame(s).applymap(f)\n+\n+    def test_frame_setitem_timestamp(self):\n+        # GH#2155\n+        columns = DatetimeIndex(start='1/1/2012', end='2/1/2012',\n+                                freq=offsets.BDay())\n+        index = lrange(10)\n+        data = DataFrame(columns=columns, index=index)\n+        t = datetime(2012, 11, 1)\n+        ts = Timestamp(t)\n+        data[ts] = np.nan  # works\n+\n+    def test_to_html_timestamp(self):","path":"pandas/tests/frame/test_timestamps.py","position":37,"original_position":37,"commit_id":"f99aa0474ca579b080d3181993f25210dc89f36a","original_commit_id":"f99aa0474ca579b080d3181993f25210dc89f36a","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":"prob go with other html output tests (which I think are in formats)","created_at":"2017-11-07T13:20:59Z","updated_at":"2017-11-07T13:23:06Z","html_url":"https://github.com/pandas-dev/pandas/pull/18142#discussion_r149364554","pull_request_url":"https://api.github.com/repos/pandas-dev/pandas/pulls/18142","author_association":"CONTRIBUTOR","_links":{"self":{"href":"https://api.github.com/repos/pandas-dev/pandas/pulls/comments/149364554"},"html":{"href":"https://github.com/pandas-dev/pandas/pull/18142#discussion_r149364554"},"pull_request":{"href":"https://api.github.com/repos/pandas-dev/pandas/pulls/18142"}}},"pull_request":{"url":"https://api.github.com/repos/pandas-dev/pandas/pulls/18142","id":150898519,"html_url":"https://github.com/pandas-dev/pandas/pull/18142","diff_url":"https://github.com/pandas-dev/pandas/pull/18142.diff","patch_url":"https://github.com/pandas-dev/pandas/pull/18142.patch","issue_url":"https://api.github.com/repos/pandas-dev/pandas/issues/18142","number":18142,"state":"open","locked":false,"title":"Separate out non-scalar tests from scalar tests; move to ?? in follow-up","user":{"login":"jbrockmendel","id":8078968,"avatar_url":"https://avatars1.githubusercontent.com/u/8078968?v=4","gravatar_id":"","url":"https://api.github.com/users/jbrockmendel","html_url":"https://github.com/jbrockmendel","followers_url":"https://api.github.com/users/jbrockmendel/followers","following_url":"https://api.github.com/users/jbrockmendel/following{/other_user}","gists_url":"https://api.github.com/users/jbrockmendel/gists{/gist_id}","starred_url":"https://api.github.com/users/jbrockmendel/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/jbrockmendel/subscriptions","organizations_url":"https://api.github.com/users/jbrockmendel/orgs","repos_url":"https://api.github.com/users/jbrockmendel/repos","events_url":"https://api.github.com/users/jbrockmendel/events{/privacy}","received_events_url":"https://api.github.com/users/jbrockmendel/received_events","type":"User","site_admin":false},"body":"The goal I have in mind is getting to the point where we can test (and measure coverage) tslibs in isolation.   That means isolating DataFrame and Series tests from everything else.\r\n\r\nThis PR doesn't change any tests and doesn't move anything across modules, just puts DataFrame and Series tests in their own classes.  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