{"action":"created","comment":{"url":"https://api.github.com/repos/pandas-dev/pandas/pulls/comments/199587228","pull_request_review_id":133736112,"id":199587228,"node_id":"MDI0OlB1bGxSZXF1ZXN0UmV2aWV3Q29tbWVudDE5OTU4NzIyOA==","diff_hunk":"@@ -140,6 +139,226 @@ def _return_parsed_timezone_results(result, timezones, box, tz):\n     return tz_results\n \n \n+def _convert_listlike_datetimes(arg, box, format, name=None, tz=None,\n+                                unit=None, errors=None,\n+                                infer_datetime_format=None, dayfirst=None,\n+                                yearfirst=None, exact=None):\n+    \"\"\"\n+    Helper function for to_datetime. Performs the conversions of 1D listlike\n+    of dates\n+\n+    Parameters\n+    ----------\n+    arg : list, tuple, ndarray, Series, Index\n+        date to be parced\n+    box : boolean\n+        True boxes result as an Index-like, False returns an ndarray\n+    name : object\n+        None or string for the Index name\n+    tz : object\n+        None or 'utc'\n+    unit : string\n+        None or string of the frequency of the passed data\n+    errors : string\n+        error handing behaviors from to_datetime, 'raise', 'coerce', 'ignore'\n+    infer_datetime_format : boolean\n+        inferring format behavior from to_datetime\n+    dayfirst : boolean\n+        dayfirst parsing behavior from to_datetime\n+    yearfirst : boolean\n+        yearfirst parsing behavior from to_datetime\n+    exact : boolean\n+        exact format matching behavior from to_datetime\n+\n+    Returns\n+    -------\n+    ndarray of parsed dates\n+        Returns:\n+\n+        - Index-like if box=True\n+        - ndarray of Timestamps if box=False\n+    \"\"\"\n+    from pandas import DatetimeIndex\n+    if isinstance(arg, (list, tuple)):\n+        arg = np.array(arg, dtype='O')\n+\n+    # these are shortcutable\n+    if is_datetime64tz_dtype(arg):\n+        if not isinstance(arg, DatetimeIndex):\n+            return DatetimeIndex(arg, tz=tz, name=name)\n+        if tz == 'utc':\n+            arg = arg.tz_convert(None).tz_localize(tz)\n+        return arg\n+\n+    elif is_datetime64_ns_dtype(arg):\n+        if box and not isinstance(arg, DatetimeIndex):\n+            try:\n+                return DatetimeIndex(arg, tz=tz, name=name)\n+            except ValueError:\n+                pass\n+\n+        return arg\n+\n+    elif unit is not None:\n+        if format is not None:\n+            raise ValueError(\"cannot specify both format and unit\")\n+        arg = getattr(arg, 'values', arg)\n+        result = tslib.array_with_unit_to_datetime(arg, unit,\n+                                                   errors=errors)\n+        if box:\n+            if errors == 'ignore':\n+                from pandas import Index\n+                return Index(result)\n+\n+            return DatetimeIndex(result, tz=tz, name=name)\n+        return result\n+    elif getattr(arg, 'ndim', 1) > 1:\n+        raise TypeError('arg must be a string, datetime, list, tuple, '\n+                        '1-d array, or Series')\n+\n+    arg = _ensure_object(arg)\n+    require_iso8601 = False\n+\n+    if infer_datetime_format and format is None:\n+        format = _guess_datetime_format_for_array(arg, dayfirst=dayfirst)\n+\n+    if format is not None:\n+        # There is a special fast-path for iso8601 formatted\n+        # datetime strings, so in those cases don't use the inferred\n+        # format because this path makes process slower in this\n+        # special case\n+        format_is_iso8601 = _format_is_iso(format)\n+        if format_is_iso8601:\n+            require_iso8601 = not infer_datetime_format\n+            format = None\n+\n+    try:\n+        result = None\n+\n+        if format is not None:\n+            # shortcut formatting here\n+            if format == '%Y%m%d':\n+                try:\n+                    result = _attempt_YYYYMMDD(arg, errors=errors)\n+                except:\n+                    raise ValueError(\"cannot convert the input to \"\n+                                     \"'%Y%m%d' date format\")\n+\n+            # fallback\n+            if result is None:\n+                try:\n+                    result, timezones = array_strptime(\n+                        arg, format, exact=exact, errors=errors)\n+                    if '%Z' in format or '%z' in format:\n+                        return _return_parsed_timezone_results(\n+                            result, timezones, box, tz)\n+                except tslib.OutOfBoundsDatetime:\n+                    if errors == 'raise':\n+                        raise\n+                    result = arg\n+                except ValueError:\n+                    # if format was inferred, try falling back\n+                    # to array_to_datetime - terminate here\n+                    # for specified formats\n+                    if not infer_datetime_format:\n+                        if errors == 'raise':\n+                            raise\n+                        result = arg\n+\n+        if result is None and (format is None or infer_datetime_format):\n+            result = tslib.array_to_datetime(\n+                arg,\n+                errors=errors,\n+                utc=tz == 'utc',\n+                dayfirst=dayfirst,\n+                yearfirst=yearfirst,\n+                require_iso8601=require_iso8601\n+            )\n+\n+        if is_datetime64_dtype(result) and box:\n+            result = DatetimeIndex(result, tz=tz, name=name)\n+        return result\n+\n+    except ValueError as e:\n+        try:\n+            values, tz = conversion.datetime_to_datetime64(arg)\n+            return DatetimeIndex._simple_new(values, name=name, tz=tz)\n+        except (ValueError, TypeError):\n+            raise e\n+\n+\n+def _adjust_to_origin(arg, origin, unit):","path":"pandas/core/tools/datetimes.py","position":184,"original_position":184,"commit_id":"3e0c36b56c217d3297e1e7cb6a75ae2d046672ab","original_commit_id":"3e0c36b56c217d3297e1e7cb6a75ae2d046672ab","user":{"login":"jbrockmendel","id":8078968,"node_id":"MDQ6VXNlcjgwNzg5Njg=","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":"+1 for separating this out","created_at":"2018-07-02T18:42:41Z","updated_at":"2018-07-02T18:42:41Z","html_url":"https://github.com/pandas-dev/pandas/pull/21702#discussion_r199587228","pull_request_url":"https://api.github.com/repos/pandas-dev/pandas/pulls/21702","author_association":"CONTRIBUTOR","_links":{"self":{"href":"https://api.github.com/repos/pandas-dev/pandas/pulls/comments/199587228"},"html":{"href":"https://github.com/pandas-dev/pandas/pull/21702#discussion_r199587228"},"pull_request":{"href":"https://api.github.com/repos/pandas-dev/pandas/pulls/21702"}}},"pull_request":{"url":"https://api.github.com/repos/pandas-dev/pandas/pulls/21702","id":198551734,"node_id":"MDExOlB1bGxSZXF1ZXN0MTk4NTUxNzM0","html_url":"https://github.com/pandas-dev/pandas/pull/21702","diff_url":"https://github.com/pandas-dev/pandas/pull/21702.diff","patch_url":"https://github.com/pandas-dev/pandas/pull/21702.patch","issue_url":"https://api.github.com/repos/pandas-dev/pandas/issues/21702","number":21702,"state":"open","locked":false,"title":"CLN: to_datetime internals","user":{"login":"mroeschke","id":10647082,"node_id":"MDQ6VXNlcjEwNjQ3MDgy","avatar_url":"https://avatars0.githubusercontent.com/u/10647082?v=4","gravatar_id":"","url":"https://api.github.com/users/mroeschke","html_url":"https://github.com/mroeschke","followers_url":"https://api.github.com/users/mroeschke/followers","following_url":"https://api.github.com/users/mroeschke/following{/other_user}","gists_url":"https://api.github.com/users/mroeschke/gists{/gist_id}","starred_url":"https://api.github.com/users/mroeschke/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/mroeschke/subscriptions","organizations_url":"https://api.github.com/users/mroeschke/orgs","repos_url":"https://api.github.com/users/mroeschke/repos","events_url":"https://api.github.com/users/mroeschke/events{/privacy}","received_events_url":"https://api.github.com/users/mroeschke/received_events","type":"User","site_admin":false},"body":"- [x] tests passed\r\n- [x] passes `git diff upstream/master -u -- \"*.py\" | flake8 --diff`\r\n\r\nThe internals of `to_datetime` is getting a bit unwieldy, so split out the `_convert_listlike` logic and origin shifting logic to ` _convert_listlike_datetime` and `adjust_to_origin` methods respectively outside of `to_datetime`. The logic was not changed.","created_at":"2018-07-02T00:39:06Z","updated_at":"2018-07-02T18:42:41Z","closed_at":null,"merged_at":null,"merge_commit_sha":"d34399138564d4d0ace9cad11bfa34bbad71b586","assignee":null,"assignees":[],"requested_reviewers":[],"requested_teams":[],"labels":[{"id":211029535,"node_id":"MDU6TGFiZWwyMTEwMjk1MzU=","url":"https://api.github.com/repos/pandas-dev/pandas/labels/Clean","name":"Clean","color":"207de5","default":false}],"milestone":{"url":"https://api.github.com/repos/pandas-dev/pandas/milestones/55","html_url":"https://github.com/pandas-dev/pandas/milestone/55","labels_url":"https://api.github.com/repos/pandas-dev/pandas/milestones/55/labels","id":3228419,"node_id":"MDk6TWlsZXN0b25lMzIyODQxOQ==","number":55,"title":"0.24.0","description":"","creator":{"login":"jorisvandenbossche","id":1020496,"node_id":"MDQ6VXNlcjEwMjA0OTY=","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},"open_issues":74,"closed_issues":149,"state":"open","created_at":"2018-03-29T12:00:12Z","updated_at":"2018-07-02T15:51:38Z","due_on":"2018-08-31T07:00:00Z","closed_at":null},"commits_url":"https://api.github.com/repos/pandas-dev/pandas/pulls/21702/commits","review_comments_url":"https://api.github.com/repos/pandas-dev/pandas/pulls/21702/comments","review_comment_url":"https://api.github.com/repos/pandas-dev/pandas/pulls/comments{/number}","comments_url":"https://api.github.com/repos/pandas-dev/pandas/issues/21702/comments","statuses_url":"https://api.github.com/repos/pandas-dev/pandas/statuses/3e0c36b56c217d3297e1e7cb6a75ae2d046672ab","head":{"label":"mroeschke:reorganize_to_datetime","ref":"reorganize_to_datetime","sha":"3e0c36b56c217d3297e1e7cb6a75ae2d046672ab","user":{"login":"mroeschke","id":10647082,"node_id":"MDQ6VXNlcjEwNjQ3MDgy","avatar_url":"https://avatars0.githubusercontent.com/u/10647082?v=4","gravatar_id":"","url":"https://api.github.com/users/mroeschke","html_url":"https://github.com/mroeschke","followers_url":"https://api.github.com/users/mroeschke/followers","following_url":"https://api.github.com/users/mroeschke/following{/other_user}","gists_url":"https://api.github.com/users/mroeschke/gists{/gist_id}","starred_url":"https://api.github.com/users/mroeschke/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/mroeschke/subscriptions","organizations_url":"https://api.github.com/users/mroeschke/orgs","repos_url":"https://api.github.com/users/mroeschke/repos","events_url":"https://api.github.com/users/mroeschke/events{/privacy}","received_events_url":"https://api.github.com/users/mroeschke/received_events","type":"User","site_admin":false},"repo":{"id":71015224,"node_id":"MDEwOlJlcG9zaXRvcnk3MTAxNTIyNA==","name":"pandas","full_name":"mroeschke/pandas","owner":{"login":"mroeschke","id":10647082,"node_id":"MDQ6VXNlcjEwNjQ3MDgy","avatar_url":"https://avatars0.githubusercontent.com/u/10647082?v=4","gravatar_id":"","url":"https://api.github.com/users/mroeschke","html_url":"https://github.com/mroeschke","followers_url":"https://api.github.com/users/mroeschke/followers","following_url":"https://api.github.com/users/mroeschke/following{/other_user}","gists_url":"https://api.github.com/users/mroeschke/gists{/gist_id}","starred_url":"https://api.github.com/users/mroeschke/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/mroeschke/subscriptions","organizations_url":"https://api.github.com/users/mroeschke/orgs","repos_url":"https://api.github.com/users/mroeschke/repos","events_url":"https://api.github.com/users/mroeschke/events{/privacy}","received_events_url":"https://api.github.com/users/mroeschke/received_events","type":"User","site_admin":false},"private":false,"html_url":"https://github.com/mroeschke/pandas","description":"Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more","fork":true,"url":"https://api.github.com/repos/mroeschke/pandas","forks_url":"https://api.github.com/repos/mroeschke/pandas/forks","keys_url":"https://api.github.com/repos/mroeschke/pandas/keys{/key_id}","collaborators_url":"https://api.github.com/repos/mroeschke/pandas/collaborators{/collaborator}","teams_url":"https://api.github.com/repos/mroeschke/pandas/teams","hooks_url":"https://api.github.com/repos/mroeschke/pandas/hooks","issue_events_url":"https://api.github.com/repos/mroeschke/pandas/issues/events{/number}","events_url":"https://api.github.com/repos/mroeschke/pandas/events","assignees_url":"https://api.github.com/repos/mroeschke/pandas/assignees{/user}","branches_url":"https://api.github.com/repos/mroeschke/pandas/branches{/branch}","tags_url":"https://api.github.com/repos/mroeschke/pandas/tags","blobs_url":"https://api.github.com/repos/mroeschke/pandas/git/blobs{/sha}","git_tags_url":"https://api.github.com/repos/mroeschke/pandas/git/tags{/sha}","git_refs_url":"https://api.github.com/repos/mroeschke/pandas/git/refs{/sha}","trees_url":"https://api.github.com/repos/mroeschke/pandas/git/trees{/sha}","statuses_url":"https://api.github.com/repos/mroeschke/pandas/statuses/{sha}","languages_url":"https://api.github.com/repos/mroeschke/pandas/languages","stargazers_url":"https://api.github.com/repos/mroeschke/pandas/stargazers","contributors_url":"https://api.github.com/repos/mroeschke/pandas/contributors","subscribers_url":"https://api.github.com/repos/mroeschke/pandas/subscribers","subscription_url":"https://api.github.com/repos/mroeschke/pandas/subscription","commits_url":"https://api.github.com/repos/mroeschke/pandas/commits{/sha}","git_commits_url":"https://api.github.com/repos/mroeschke/pandas/git/commits{/sha}","comments_url":"https://api.github.com/repos/mroeschke/pandas/comments{/number}","issue_comment_url":"https://api.github.com/repos/mroeschke/pandas/issues/comments{/number}","contents_url":"https://api.github.com/repos/mroeschke/pandas/contents/{+path}","compare_url":"https://api.github.com/repos/mroeschke/pandas/compare/{base}...{head}","merges_url":"https://api.github.com/repos/mroeschke/pandas/merges","archive_url":"https://api.github.com/repos/mroeschke/pandas/{archive_format}{/ref}","downloads_url":"https://api.github.com/repos/mroeschke/pandas/downloads","issues_url":"https://api.github.com/repos/mroeschke/pandas/issues{/number}","pulls_url":"https://api.github.com/repos/mroeschke/pandas/pulls{/number}","milestones_url":"https://api.github.com/repos/mroeschke/pandas/milestones{/number}","notifications_url":"https://api.github.com/repos/mroeschke/pandas/notifications{?since,all,participating}","labels_url":"https://api.github.com/repos/mroeschke/pandas/labels{/name}","releases_url":"https://api.github.com/repos/mroeschke/pandas/releases{/id}","deployments_url":"https://api.github.com/repos/mroeschke/pandas/deployments","created_at":"2016-10-15T21:46:32Z","updated_at":"2018-06-24T16:56:58Z","pushed_at":"2018-07-02T00:22:12Z","git_url":"git://github.com/mroeschke/pandas.git","ssh_url":"git@github.com:mroeschke/pandas.git","clone_url":"https://github.com/mroeschke/pandas.git","svn_url":"https://github.com/mroeschke/pandas","homepage":"http://pandas.pydata.org","size":124857,"stargazers_count":0,"watchers_count":0,"language":"Python","has_issues":false,"has_projects":true,"has_downloads":true,"has_wiki":true,"has_pages":false,"forks_count":0,"mirror_url":null,"archived":false,"open_issues_count":0,"license":{"key":"bsd-3-clause","name":"BSD 3-Clause \"New\" or \"Revised\" License","spdx_id":"BSD-3-Clause","url":"https://api.github.com/licenses/bsd-3-clause","node_id":"MDc6TGljZW5zZTU="},"forks":0,"open_issues":0,"watchers":0,"default_branch":"master"}},"base":{"label":"pandas-dev:master","ref":"master","sha":"dc45fbafef172e357cb5decdeab22de67160f5b7","user":{"login":"pandas-dev","id":21206976,"node_id":"MDEyOk9yZ2FuaXphdGlvbjIxMjA2OTc2","avatar_url":"https://avatars2.githubusercontent.com/u/21206976?v=4","gravatar_id":"","url":"https://api.github.com/users/pandas-dev","html_url":"https://github.com/pandas-dev","followers_url":"https://api.github.com/users/pandas-dev/followers","following_url":"https://api.github.com/users/pandas-dev/following{/other_user}","gists_url":"https://api.github.com/users/pandas-dev/gists{/gist_id}","starred_url":"https://api.github.com/users/pandas-dev/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/pandas-dev/subscriptions","organizations_url":"https://api.github.com/users/pandas-dev/orgs","repos_url":"https://api.github.com/users/pandas-dev/repos","events_url":"https://api.github.com/users/pandas-dev/events{/privacy}","received_events_url":"https://api.github.com/users/pandas-dev/received_events","type":"Organization","site_admin":false},"repo":{"id":858127,"node_id":"MDEwOlJlcG9zaXRvcnk4NTgxMjc=","name":"pandas","full_name":"pandas-dev/pandas","owner":{"login":"pandas-dev","id":21206976,"node_id":"MDEyOk9yZ2FuaXphdGlvbjIxMjA2OTc2","avatar_url":"https://avatars2.githubusercontent.com/u/21206976?v=4","gravatar_id":"","url":"https://api.github.com/users/pandas-dev","html_url":"https://github.com/pandas-dev","followers_url":"https://api.github.com/users/pandas-dev/followers","following_url":"https://api.github.com/users/pandas-dev/following{/other_user}","gists_url":"https://api.github.com/users/pandas-dev/gists{/gist_id}","starred_url":"https://api.github.com/users/pandas-dev/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/pandas-dev/subscriptions","organizations_url":"https://api.github.com/users/pandas-dev/orgs","repos_url":"https://api.github.com/users/pandas-dev/repos","events_url":"https://api.github.com/users/pandas-dev/events{/privacy}","received_events_url":"https://api.github.com/users/pandas-dev/received_events","type":"Organization","site_admin":false},"private":false,"html_url":"https://github.com/pandas-dev/pandas","description":"Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more","fork":false,"url":"https://api.github.com/repos/pandas-dev/pandas","forks_url":"https://api.github.com/repos/pandas-dev/pandas/forks","keys_url":"https://api.github.com/repos/pandas-dev/pandas/keys{/key_id}","collaborators_url":"https://api.github.com/repos/pandas-dev/pandas/collaborators{/collaborator}","teams_url":"https://api.github.com/repos/pandas-dev/pandas/teams","hooks_url":"https://api.github.com/repos/pandas-dev/pandas/hooks","issue_events_url":"https://api.github.com/repos/pandas-dev/pandas/issues/events{/number}","events_url":"https://api.github.com/repos/pandas-dev/pandas/events","assignees_url":"https://api.github.com/repos/pandas-dev/pandas/assignees{/user}","branches_url":"https://api.github.com/repos/pandas-dev/pandas/branches{/branch}","tags_url":"https://api.github.com/repos/pandas-dev/pandas/tags","blobs_url":"https://api.github.com/repos/pandas-dev/pandas/git/blobs{/sha}","git_tags_url":"https://api.github.com/repos/pandas-dev/pandas/git/tags{/sha}","git_refs_url":"https://api.github.com/repos/pandas-dev/pandas/git/refs{/sha}","trees_url":"https://api.github.com/repos/pandas-dev/pandas/git/trees{/sha}","statuses_url":"https://api.github.com/repos/pandas-dev/pandas/statuses/{sha}","languages_url":"https://api.github.com/repos/pandas-dev/pandas/languages","stargazers_url":"https://api.github.com/repos/pandas-dev/pandas/stargazers","contributors_url":"https://api.github.com/repos/pandas-dev/pandas/contributors","subscribers_url":"https://api.github.com/repos/pandas-dev/pandas/subscribers","subscription_url":"https://api.github.com/repos/pandas-dev/pandas/subscription","commits_url":"https://api.github.com/repos/pandas-dev/pandas/commits{/sha}","git_commits_url":"https://api.github.com/repos/pandas-dev/pandas/git/commits{/sha}","comments_url":"https://api.github.com/repos/pandas-dev/pandas/comments{/number}","issue_comment_url":"https://api.github.com/repos/pandas-dev/pandas/issues/comments{/number}","contents_url":"https://api.github.com/repos/pandas-dev/pandas/contents/{+path}","compare_url":"https://api.github.com/repos/pandas-dev/pandas/compare/{base}...{head}","merges_url":"https://api.github.com/repos/pandas-dev/pandas/merges","archive_url":"https://api.github.com/repos/pandas-dev/pandas/{archive_format}{/ref}","downloads_url":"https://api.github.com/repos/pandas-dev/pandas/downloads","issues_url":"https://api.github.com/repos/pandas-dev/pandas/issues{/number}","pulls_url":"https://api.github.com/repos/pandas-dev/pandas/pulls{/number}","milestones_url":"https://api.github.com/repos/pandas-dev/pandas/milestones{/number}","notifications_url":"https://api.github.com/repos/pandas-dev/pandas/notifications{?since,all,participating}","labels_url":"https://api.github.com/repos/pandas-dev/pandas/labels{/name}","releases_url":"https://api.github.com/repos/pandas-dev/pandas/releases{/id}","deployments_url":"https://api.github.com/repos/pandas-dev/pandas/deployments","created_at":"2010-08-24T01:37:33Z","updated_at":"2018-07-02T18:09:41Z","pushed_at":"2018-07-02T18:29:02Z","git_url":"git://github.com/pandas-dev/pandas.git","ssh_url":"git@github.com:pandas-dev/pandas.git","clone_url":"https://github.com/pandas-dev/pandas.git","svn_url":"https://github.com/pandas-dev/pandas","homepage":"http://pandas.pydata.org","size":125930,"stargazers_count":14919,"watchers_count":14919,"language":"Python","has_issues":true,"has_projects":true,"has_downloads":true,"has_wiki":true,"has_pages":true,"forks_count":5996,"mirror_url":null,"archived":false,"open_issues_count":2737,"license":{"key":"bsd-3-clause","name":"BSD 3-Clause \"New\" or \"Revised\" License","spdx_id":"BSD-3-Clause","url":"https://api.github.com/licenses/bsd-3-clause","node_id":"MDc6TGljZW5zZTU="},"forks":5996,"open_issues":2737,"watchers":14919,"default_branch":"master"}},"_links":{"self":{"href":"https://api.github.com/repos/pandas-dev/pandas/pulls/21702"},"html":{"href":"https://github.com/pandas-dev/pandas/pull/21702"},"issue":{"href":"https://api.github.com/repos/pandas-dev/pandas/issues/21702"},"comments":{"href":"https://api.github.com/repos/pandas-dev/pandas/issues/21702/comments"},"review_comments":{"href":"https://api.github.com/repos/pandas-dev/pandas/pulls/21702/comments"},"review_comment":{"href":"https://api.github.com/repos/pandas-dev/pandas/pulls/comments{/number}"},"commits":{"href":"https://api.github.com/repos/pandas-dev/pandas/pulls/21702/commits"},"statuses":{"href":"https://api.github.com/repos/pandas-dev/pandas/statuses/3e0c36b56c217d3297e1e7cb6a75ae2d046672ab"}},"author_association":"CONTRIBUTOR"}}
{"actor":{"display_login":"jbrockmendel"}}