issue_comments: 778843086
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| html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | issue | performed_via_github_app |
|---|---|---|---|---|---|---|---|---|---|---|---|
| https://github.com/simonw/sqlite-utils/issues/228#issuecomment-778843086 | https://api.github.com/repos/simonw/sqlite-utils/issues/228 | 778843086 | MDEyOklzc3VlQ29tbWVudDc3ODg0MzA4Ng== | 9599 | 2021-02-14T21:15:43Z | 2021-02-14T21:15:43Z | OWNER | I'm not convinced the `.has_header()` rules are useful for the kind of CSV files I work with: https://github.com/python/cpython/blob/63298930fb531ba2bb4f23bc3b915dbf1e17e9e1/Lib/csv.py#L383 ```python def has_header(self, sample): # Creates a dictionary of types of data in each column. If any # column is of a single type (say, integers), *except* for the first # row, then the first row is presumed to be labels. If the type # can't be determined, it is assumed to be a string in which case # the length of the string is the determining factor: if all of the # rows except for the first are the same length, it's a header. # Finally, a 'vote' is taken at the end for each column, adding or # subtracting from the likelihood of the first row being a header. ``` | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | 807437089 |