data-analysis

Describe the issue linked to the documentation

Documentation should be changed to reflect that one-vs-rest is possible.

x = np.array([0,1,2,3,4,5,3,3,5,5,5,7,7,2])
x = x.reshape(-1,1)#this has 1 feature, therefore reshaping properly

y = [0,0,0,1,0,2,1,1,2,2,2,3,3,0] #note: y has multiple classes.


model = SVC(gamma = "auto", decision_function_shape="ovr")
model.fit(x,y)
p

The Mixed Time-Series chart type allows for configuring the title of the primary and the secondary y-axis.
However, while only the title of the primary axis is shown next to the axis, the title of the secondary one is placed at the upper end of the axis where it gets hidden by bar values and zoom controls.

How to reproduce the bug

1. Create a mixed time-series chart
2. Configure axi

task is:

1. bump version of pandas-dev-flaker in https://github.com/pandas-dev/pandas/blob/c3ab0c99264be1c7907525ea4846f3f024057a28/.pre-commit-config.yaml#L53 to 0.5.0
2. update pandas-dev-flaker: pip install -U pandas-dev-flaker
3. run flake8 pandas --select PDF026
4. fix any issues that are highlighted by flake8
5. run flake8 pandas and add any new codes to https://github.com/p

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

We currently have this description for GREL replace() function:
https://github.com/OpenRefine/OpenRefine/blob/083c7feba3b84d97ec884f3c2b38b6f1f0249640/main/src/com/google/refine/expr/functions/strings/Replace.java#L68

We should probably extend that last sentence to also say the Regex pattern should start and end with / or just include a simple example showing the Regex pattern usage , pe

• 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

Tell us about the problem you're trying to solve

For some cases users have a more restricted access to their ElasticSearch cluster and need private keys.

Describe the solution you’d like

Add an option to upload the key file OR paste the key in a field in the destination configuration.
There are other destination examples using private keys already.

Describe the alternative you’ve

See:
gonum/gonum#845 (comment)

For the autoencoder in pyod, how do I adjust the learning rate?

Is your feature request related to a problem? Please describe.
While reviewing PR #9817 to introduce DataFrame.diff, I noticed that it is restricted to acting on numeric types.

A time-series diff is probably a very common user need, if provided a series of timestamps and seeking the durations between observations.

Pandas supports diffs on non-numeric types like timestamps: