data-analysis

These examples take quite a long time to run, and they make our documentation CI fail quite frequently due to timeout. It'd be nice to speed the up a little bit.

To contributors: if you want to work on an example, first have a look at the example, and if you think you're comfortable working on it and have found a potential way to speed-up execution time while preserving the educational message

Screenshot

I've added a red vertical ruler so that you see the issue

Description

As already explained in numerous issues, the use of 'Inter' font is problematic, it does not allow to align dates for instance,
and does not play nice with numbers either.

In my supe

• I have checked that this issue has not already been reported.

• I have confirmed this bug exists on the latest version of pandas.

• I have confirmed this bug exists on the master branch of pandas.

Reproducible Example

Running ./ci/code_checks.sh docstrings results in many warnings:

$ ./ci/

Summary

Aesthetically trivial, yet I've spotted a discrepancy with font sizes in our tooltip (front-end + back-end screenshots below).
I believe sections #1 and #2 should have the same font size?

![image](https://user-images.githubusercontent.com/27242399/139825179-4d62e3

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

The code that generates the GREL expression for the Duplicates facet does not escape the name of the selected column.
If this name contains a single quote character, this results in an invalid GREL expression, hence the facet cannot be used as such.

To Reproduce

Steps to reproduce the behavior:

1. First, import the following CSV file:

Jane's column,Jack's column
foo,bar
hey,ho
h

• Base README.md
• Quizzes
• Introduction base README
  • Defining Data Science README
  • Defining Data Science assignment
  • Ethics README
  • Ethics assignment
  • Defining Data README
  • Defining Data assignment
  • Stats and Probability README
  • Stats and Probability assignment
• Working with Data base README
  • Rel

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

Tell us about the problem you're trying to solve

We can probably reduce the docker image size of our java based connectors by using the ADD command instead of COPYing the tar archive. See this PR for an example

Describe the solution you’d like

use the ADD command to reduce the size of the docker images