data-analysis
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Expected results
Layer type resets to default
Actual results
The entire page goes blank
Screenshots
pd.testing.assert_series_equal(result, expected)
should fail style checks, rather we want tm.assert_series_equal
we need to update any usages in the codebase as well as add this to the pre-commit checks.
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Is your feature request related to a problem? Please describe.
When working with a big piece of text, I sometimes scroll down and copy some text into another tab. When switching back to the first tab, both the input and the output pane is back on top. So I don't know where I was working just now.
Describe the solution you'd like
After tab switching, scroll position should be remembere
We have too much padding on menu entries in the left-hand side bar of the docs:
This was probably introduced by mistake in #3178.
We should restore this padding to Docusaurus' defaults - the area that needed more padding is on the right-hand side (see PR discussion).
Mentioned b
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Collection of follow-ups to #5827. These can/should be broken out into individual PRs. Many are relatively straightforward and would make a good first PR.
General
- Documentation (none was added in original PR).
- Release notes.
- Example notebook.
- Double-check how
sm.tsa.arima.ARIMAworks withfix_params(it should fail except when the fit method isstatespace
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Improve examples such that they are more incremental (in the import etc) without following strictly PEP8. It will make it nicer to read on the gallery generated online.
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I'm using latest pyod version on pypi. How to generate simulated data where x-axis is time? Thank you.
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https://igel.readthedocs.io/en/latest/_sources/readme.rst.txt includes a link to the assets/igel-help.gif, but that path is broken on readthedocs.
readme.rst is included as ../readme.rst in the sphinx build.
The gifs are in asses/igel-help.gif
The sphinx build needs to point to the asset directory, absolutely:
.. image:: /assets/igel-help.gif
I haven't made a patch, because I haven't
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Most functions in
scipy.linalgfunctions (e.g.svd,qr,eig,eigh,pinv,pinv2...) have a default kwargcheck_finite=Truethat we typically leave to the default value in scikit-learn.As we already validate the input data for most estimators in scikit-learn, this check is redundant and can cause significant overhead, especially at predict / transform time. We should probably a