data-analysis

Describe the issue linked to the documentation

The "20 newsgroups text" dataset can be accessed within scikit-learn using defined functions. The dataset contains some text which is considered culturally insensitive.

Suggest a potential alternative/fix

Add a section in the dataset documentation, possibly above the "Recommendation" section called "Data Considerations".
https://

Is your feature request related to a problem? Please describe.
As of a couple months ago, the Elasticsearch organization has made the official python elasticsearch plugin incompatible with Amazon supported OpenSearch. If you fire up Superset using the current helm chart and attempt to connect to a recently deployed AWS "Elasticsearch" - which is now an Apache 2.0 licensed OpenSearch - you wi

• I have checked that the issue still exists on the latest versions of the docs on master here

Location of the documentation

https://pandas.pydata.org/docs/dev/user_guide/visualization.html#colormaps

Documentation problem

The first paragraph of the Colormaps section finishes with

A visualization of the default matplot

Summary

If you use a slider in the sidebar with a long description text, the slider value and the description text overlap. See screenshot:

Steps to reproduce

Code snippet:

import streamlit as st

topn_ranking = st.sidebar.s

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

Serialization error while trying to use Jsoup selector with a Custom Text Facet

To Reproduce

Steps to reproduce the behavior:

1. Import the provided OpenRefine exported project Recursion-Error-Jackson-csv.openrefine.tar.gz that demonstrates the problem
2. Perform a Custom Text Facet on

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.ARIMA works with fix_params (it should fail except when the fit method is statespace

Describe the issue linked to the documentation

In the section https://imbalanced-learn.org/stable/under_sampling.html#prototype-selection the selected subset S' should be a (strict) subset, not and element of S.

Suggest a potential alternative/fix

Change \in to \subset in doc/under_sampling.rst.

See:
gonum/gonum#845 (comment)

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

Java and Python provide logging frameworks for recording errors and stack traces. Logging can be configured to format those messages, such as by removing newlines from stack traces, adding timestamps, and putting a log level (INFO, WARN, ERROR) on the message. In the future, it may also include json structured logging. Using the logging framew