pandas
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Spark is really inconsistent in how it handles some values like -0.0 vs 0.0 and the various NaN values that are possible. I don't expect cuDF to be aware of any of this, but I would like the ability to work around it in some cases by treating the floating point value as if it were just a bunch of bits. To me logical_cast feels like the right place to do this, but floating point values are
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When grouping by variable in Pivot Table, it would be nice if Group By would output an actual date for datetime variables.
E.g.:
- A mean of [2020-01-01, 2020-01-02, 2020-01-03] would output 2020-01-02.
- A median of [2020-01-01, 2020-01-02, 2020-01-03, 2020-01-03, 2020-01-04] would output 2020-01-03.
- A sum ... Don't know. Probably output a float?
- Min, max ... This one is obvious.
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The plotly plots on my macbook on Ubuntu 20.04 and pandasgui 0.2.3.2 have very tiny font. Wondering if there's a way to change this.. See pic below.
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Is your feature request related to a problem? Please describe.
I am trying to drop particular indices from a dimension that doesn't have coordinates.
Following: [drop_sel() documentation](http://xarray.pydata.org/en/stable/generated/xarray.Dataset.drop_sel.html#xarray.Dataset.drop_se
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I think we could add
passes `pre-commit run --from-ref=upstream/master --to-ref=HEAD --all-files`to the pull request template (maybe it could even replace the current
blackandflake8ones).The file to change would be
Some of the contributing guide may also need updating if it mentions the
flake8 --diffcommand.