![]() You may find more information about Gottumukkala Sravan Kumar and his other articles on his profile page. If True and no format is given, attempt to infer the format of the datetime strings based on the first non-NaN element, and if it can be inferred, switch to. This article was created in collaboration with Gottumukkala Sravan Kumar. In case you have any additional questions, you may leave a comment below. withcolumn means to keep everything there is plus add this other thing or if its the same name as something that already exists then replace it with this. polars is not pandas so you dont assign columns of existing dfs with dfcol and you especially dont do it with dfcol.withcolumn. Summary: This post has illustrated how to change a datetime object to a string format without microseconds in the Python programming language. To add to 4pis answer in the context of your comment. Or just leave that datetime naive (tz not set) pandas treats naive datetime as UTC (in contrast. ![]()
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