Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

2D Histogram #869

Closed
lars-reimann opened this issue Jun 28, 2024 · 1 comment · Fixed by #903
Closed

2D Histogram #869

lars-reimann opened this issue Jun 28, 2024 · 1 comment · Fixed by #903
Assignees
Labels
enhancement 💡 New feature or request lab Suitable for the lab released Included in a release team1

Comments

@lars-reimann
Copy link
Member

lars-reimann commented Jun 28, 2024

Is your feature request related to a problem?

A 2D histogram is a nice way to to determine the distribution of two columns.

Desired solution

  • Add a method histogram_2d to TablePlotter
  • Parameters:
    • x_name: str - Name of the x-column
    • y_name: str - Name of the y-column
    • Keyword-only x_max_bin_count: int = 10
    • Keyword-only y_max_bin_count: int = 10
  • Returns:
    • Image - The plot
  • Raises:
    • _check_columns_exist for x_name, y_name
    • _check_columns_are_numeric for x_name, y_name
    • _check_bounds to ensure that x_max_bin_count and y_max_bin_count are >= 1
  • Dark mode as described in Dark mode for plots #798.
  • Make the plot consistent with scatter_plot, since it's just a variant of that with binning.

Possible alternatives (optional)

No response

Screenshots (optional)

No response

Additional Context (optional)

No response

@lars-reimann lars-reimann added enhancement 💡 New feature or request lab Suitable for the lab labels Jun 28, 2024
@SamanHushi SamanHushi linked a pull request Jul 12, 2024 that will close this issue
lars-reimann pushed a commit that referenced this issue Jul 19, 2024
## [0.27.0](v0.26.0...v0.27.0) (2024-07-19)

### Features

*  join ([#870](#870)) ([5764441](5764441)), closes [#745](#745)
* activation function for forward layer ([#891](#891)) ([5b5bb3f](5b5bb3f)), closes [#889](#889)
* add `ImageDataset.split` ([#846](#846)) ([3878751](3878751)), closes [#831](#831)
* add FunctionalTableTransformer ([#901](#901)) ([37905be](37905be)), closes [#858](#858)
* add InvalidFitDataError ([#824](#824)) ([487854c](487854c)), closes [#655](#655)
* add KNearestNeighborsImputer ([#864](#864)) ([fcdfecf](fcdfecf)), closes [#743](#743)
* add moving average plot ([#836](#836)) ([abcf68a](abcf68a))
* add RobustScaler ([#874](#874)) ([62320a3](62320a3)), closes [#650](#650) [#873](#873)
* add SequentialTableTransformer ([#893](#893)) ([e93299f](e93299f)), closes [#802](#802)
* add temporal operations ([#832](#832)) ([06eab77](06eab77))
* added 'histogram_2d' in TablePlotter  ([#903](#903)) ([4e65ba9](4e65ba9)), closes [#869](#869) [#798](#798)
* added from_str_to_temporal and continues prediction ([#767](#767)) ([35f468a](35f468a)), closes [#806](#806) [#765](#765) [#740](#740) [#773](#773)
* added GRU layer ([#845](#845)) ([d33cb5d](d33cb5d))
* Adds Dropout Layer ([#868](#868)) ([a76f0a1](a76f0a1)), closes [#848](#848)
* dark mode for plots ([#911](#911)) ([5447551](5447551)), closes [#798](#798)
* easily create a baseline model ([#811](#811)) ([8e1b995](8e1b995)), closes [#710](#710)
* get first cell with value other than `None` ([#904](#904)) ([5a0cdb3](5a0cdb3)), closes [#799](#799)
* hyperparameter optimization for fnn models ([#897](#897)) ([c1f66e5](c1f66e5)), closes [#861](#861)
* implement violin plots ([#900](#900)) ([9f5992a](9f5992a)), closes [#867](#867)
* plot decision tree ([#876](#876)) ([d3f81dc](d3f81dc)), closes [#856](#856)
* prediction no longer takes a time series dataset only table ([#838](#838)) ([762e5c2](762e5c2)), closes [#837](#837)
* raise if `remove_colums` is called with unknown column by default ([#852](#852)) ([8f78163](8f78163)), closes [#807](#807)
* regularization strength for logistic classifier ([#866](#866)) ([9f74e92](9f74e92)), closes [#750](#750)
* reorders parameters of RangeScaler and makes them keyword-only ([#847](#847)) ([2b82db7](2b82db7)), closes [#809](#809)
* replace seaborn with matplotlib for box_plot ([#863](#863)) ([4ef078e](4ef078e)), closes [#805](#805) [#849](#849)
* replaced seaborn with matplotlib for correlation_heatmap ([#850](#850)) ([d4680d4](d4680d4)), closes [#800](#800) [#849](#849)

### Bug Fixes

* **deps:** bump urllib3 from 2.2.1 to 2.2.2 ([#842](#842)) ([b81bcd6](b81bcd6)), closes [#3122](https://github.com/Safe-DS/Library/issues/3122) [#3363](https://github.com/Safe-DS/Library/issues/3363) [#3122](https://github.com/Safe-DS/Library/issues/3122) [#3363](https://github.com/Safe-DS/Library/issues/3363) [#3406](https://github.com/Safe-DS/Library/issues/3406) [#3398](https://github.com/Safe-DS/Library/issues/3398) [#3399](https://github.com/Safe-DS/Library/issues/3399) [#3396](https://github.com/Safe-DS/Library/issues/3396) [#3394](https://github.com/Safe-DS/Library/issues/3394) [#3391](https://github.com/Safe-DS/Library/issues/3391) [#3316](https://github.com/Safe-DS/Library/issues/3316) [#3387](https://github.com/Safe-DS/Library/issues/3387) [#3386](https://github.com/Safe-DS/Library/issues/3386)
* labels of correlation heatmap ([#894](#894)) ([a88a609](a88a609)), closes [#871](#871)
* make multi-processing in baseline models more consistent ([#909](#909)) ([fa24560](fa24560)), closes [#907](#907)

### Performance Improvements

* improved performance in various methods in `Image` and `ImageList` ([#879](#879)) ([134e7d8](134e7d8))
@lars-reimann
Copy link
Member Author

🎉 This issue has been resolved in version 0.27.0 🎉

The release is available on:

Your semantic-release bot 📦🚀

@lars-reimann lars-reimann added the released Included in a release label Jul 19, 2024
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
enhancement 💡 New feature or request lab Suitable for the lab released Included in a release team1
Projects
Status: ✔️ Done
Development

Successfully merging a pull request may close this issue.

3 participants