Improved docs for infer_datetime_format #12606
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| @@ -132,8 +132,10 @@ class ParserWarning(Warning): | |||
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| Note: 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 | |||
| If parse_dates is enabled and this flag is set, pandas will attempt to | |||
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pls add to doc-string of |
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Thanks - I think I've sorted all of those now. |
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maybe show an example where this helps (in Examples) mainly for pd.to_datetime |
| Infer the format from the first entry | ||
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| >>> pd.to_datetime(df.month + '/' + df.day + '/' + df.year, | ||
| infer_datetime_format=True) |
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this is not valid code (as df.month are integers), do something like:
s = df.month.astype(str) + '/' + df.day.astype(str) + '/' + df.year.astype(str)
then infer on that
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I assumed that the df = df.astype(str) from the example above would still have applied.
Should each example be entirely separate?
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ahh I see that. ok no, that is fine then (maybe rename df -> dfs or something (on the .astype(str) line)
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thanks! |
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Fixes #12152