opened
mjsamoht
username_0
This corresponds to `parse_dates` and `infer_datetime_format` parameter in pandas.

`parse_dates` : _boolean or list of ints or names or list of lists or dict, default False_.
- If True -> try parsing the index.
- If [1, 2, 3] -> try parsing columns 1, 2, 3 each as a separate date column.
- If [[1, 3]] -> combine columns 1 and 3 and parse as a single date column.
- If {'foo': [1, 3]} -> parse columns 1, 3 as date and call result ‘foo’. A fast-path exists for iso8601-formatted dates.

`infer_datetime_format` : _boolean, default False_
If True and parse_dates is enabled for a column, attempt to infer the datetime format to speed up the processing.
[FEA] Support parse_dates and infer_datetime_format in read_csv
issue
created
j-ieong
username_1
This is related to #1929. A fix that made sense for cudf was implemented in #2177, where we added the `parse_dates` option. For cudf, `infer_datetime_format` is technically always being enabled if we are parsing a datetime column.
comment
closed
j-ieong
username_1
issue