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- [x] closespandas-dev#10690 - [x] tests added / passed - [x] passes ``git
diff upstream/master | flake8 --diff`` - [x] whatsnew entry the
Datetime64Formatter class did not accept a `formatter` argument, so
custom formatters passed in through `df.to_string` or `df.to_html`
were silently ignored.
Author: Haleemur Ali <[email protected]>
This patch had conflicts when merged, resolved by
Committer: Joris Van den Bossche <[email protected]>
Closespandas-dev#13567 from haleemur/fix/dt64_outputformat and squashes the following commits:
8d84283 [Haleemur Ali] fix bug in Datetime64Formatter, which affected custom date formatted output for df.to_string, df.to_html methods
Copy file name to clipboardExpand all lines: doc/source/whatsnew/v0.19.0.txt
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@@ -522,6 +522,7 @@ Bug Fixes
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- Bug in ``Series`` comparison operators when dealing with zero dim NumPy arrays (:issue:`13006`)
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- Bug in ``groupby`` where ``apply`` returns different result depending on whether first result is ``None`` or not (:issue:`12824`)
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- Bug in ``groupby(..).nth()`` where the group key is included inconsistently if called after ``.head()/.tail()`` (:issue:`12839`)
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- Bug in ``.to_html``, ``.to_latex`` and ``.to_string`` silently ignore custom datetime formatter passed through the ``formatters`` key word (:issue:`10690`)
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- Bug in ``pd.to_numeric`` when ``errors='coerce'`` and input contains non-hashable objects (:issue:`13324`)
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