data-analysis
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Is your feature request related to a problem? Please describe.
Currently when users searches metric in Chart Explore Metric dropdown, the search first displays the "ending" string of the metric, even if there is an exact match. For example if you search for san_francisco and your metrics include population_in_san_francisco san_francisco and san_francisco_weather your first result woul
This is not exactly right, but we have an inconsitency in the argument specifications of using 'array_like' vs 'array-like', in argument types we should settle on one (prob 'array-like')
(pandas-dev) ~/pandas$ grep -r array-like --include '*.py' pandas|wc
317 2259 24072
(pandas-dev) ~/pandas$ grep -r array_like --include '*.py' pandas|wc
104 498 7414
Simila
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Mar 28, 2021 - Clojure
This bug is actually caused by #2989, but I'm filing it separately as fixing #2989 may end up being a few days worth of effort while a small workaround to fix this apparently incorrect behavior (that's just a bandaid until the real issue is fixed) would likely only take a couple hours.
What happens here is that a file calls config.get_option on import, causing config files to be parsed, then wh
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Mar 28, 2021 - C
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
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Feb 14, 2021 - JavaScript
When a user first logs into Wikidata, or logs out through the Manage Wikidata account option of the Wikidata extension and then logs in, the UX leaves the user wondering what happened since the login dialog disappears, leaving the user to assume they logged in successfully.
Proposed solution
Ideally, the current "logged in" dialog (bind="explainLogin") could actually be shown immedia
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Feb 9, 2021 - Python
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Mar 27, 2021 - Jupyter Notebook
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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Mar 20, 2021 - Jupyter Notebook
In some figure, the axis name is cropped. We should probably used tight_layout explicitly:
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Mar 27, 2021 - Java
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Oct 15, 2020 - Jupyter Notebook
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Mar 26, 2021 - Go
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Mar 12, 2021 - Python
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Jul 11, 2020 - Python
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Mar 5, 2021 - R
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Mar 24, 2021 - Go
The official instructions say to use joblib for pickling PyOD models.
This fails for AutoEncoders, or any other TensorFlow-backed model as far as I can tell. The error is:
>>> dump(model, 'model.joblib')
...
TypeError: can't pickle _thread.RLock objects
Note that it's not sufficient to save the underlying Keras S
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May 8, 2018 - Jupyter Notebook
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Mar 23, 2021 - JavaScript
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Feb 6, 2020
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Jan 28, 2021 - C++
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Dec 28, 2020 - Python
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Mar 25, 2021 - Python
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It appears that the docs for Logistic Regression differ based on solvers and penalties. The "penalty" parameter states that "The ‘newton-cg’, ‘sag’ and ‘lbfgs’ solvers support only l2 penalties," while the "solver" parameter states that "‘newton-cg’, ‘lbfgs’, ‘sag’ and ‘saga’ handle L2 or no penalty" (attaching some screenshots). This was actually a little unclear to me, as I wasn't sure if the n