-
Notifications
You must be signed in to change notification settings - Fork 4
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
Create boxplot for all numerical columns in a Table
#156
Labels
Comments
lars-reimann
pushed a commit
that referenced
this issue
May 11, 2023
## [0.12.0](v0.11.0...v0.12.0) (2023-05-11) ### Features * add `learning_rate` to AdaBoost classifier and regressor. ([#251](#251)) ([7f74440](7f74440)), closes [#167](#167) * add alpha parameter to `lasso_regression` ([#232](#232)) ([b5050b9](b5050b9)), closes [#163](#163) * add parameter `lasso_ratio` to `ElasticNetRegression` ([#237](#237)) ([4a1a736](4a1a736)), closes [#166](#166) * Add parameter `number_of_tree` to `RandomForest` classifier and regressor ([#230](#230)) ([414336a](414336a)), closes [#161](#161) * Added `Table.plot_boxplots` to plot a boxplot for each numerical column in the table ([#254](#254)) ([0203a0c](0203a0c)), closes [#156](#156) [#239](#239) * Added `Table.plot_histograms` to plot a histogram for each column in the table ([#252](#252)) ([e27d410](e27d410)), closes [#157](#157) * Added `Table.transform_table` method which returns the transformed Table ([#229](#229)) ([0a9ce72](0a9ce72)), closes [#110](#110) * Added alpha parameter to `RidgeRegression` ([#231](#231)) ([1ddc948](1ddc948)), closes [#164](#164) * Added Column#transform ([#270](#270)) ([40fb756](40fb756)), closes [#255](#255) * Added method `Table.inverse_transform_table` which returns the original table ([#227](#227)) ([846bf23](846bf23)), closes [#111](#111) * Added parameter `c` to `SupportVectorMachines` ([#267](#267)) ([a88eb8b](a88eb8b)), closes [#169](#169) * Added parameter `maximum_number_of_learner` and `learner` to `AdaBoost` ([#269](#269)) ([bb5a07e](bb5a07e)), closes [#171](#171) [#173](#173) * Added parameter `number_of_trees` to `GradientBoosting` ([#268](#268)) ([766f2ff](766f2ff)), closes [#170](#170) * Allow arguments of type pathlib.Path for file I/O methods ([#228](#228)) ([2b58c82](2b58c82)), closes [#146](#146) * convert `Schema` to `dict` and format it nicely in a notebook ([#244](#244)) ([ad1cac5](ad1cac5)), closes [#151](#151) * Convert between Excel file and `Table` ([#233](#233)) ([0d7a998](0d7a998)), closes [#138](#138) [#139](#139) * convert containers for tabular data to HTML ([#243](#243)) ([683c279](683c279)), closes [#140](#140) * make `Column` a subclass of `Sequence` ([#245](#245)) ([a35b943](a35b943)) * mark optional hyperparameters as keyword only ([#296](#296)) ([44a41eb](44a41eb)), closes [#278](#278) * move exceptions back to common package ([#295](#295)) ([a91172c](a91172c)), closes [#177](#177) [#262](#262) * precision metric for classification ([#272](#272)) ([5adadad](5adadad)), closes [#185](#185) * Raise error if an untagged table is used instead of a `TaggedTable` ([#234](#234)) ([8eea3dd](8eea3dd)), closes [#192](#192) * recall and F1-score metrics for classification ([#277](#277)) ([2cf93cc](2cf93cc)), closes [#187](#187) [#186](#186) * replace prefix `n` with `number_of` ([#250](#250)) ([f4f44a6](f4f44a6)), closes [#171](#171) * set `alpha` parameter for regularization of `ElasticNetRegression` ([#238](#238)) ([e642d1d](e642d1d)), closes [#165](#165) * Set `column_names` in `fit` methods of table transformers to be required ([#225](#225)) ([2856296](2856296)), closes [#179](#179) * set learning rate of Gradient Boosting models ([#253](#253)) ([9ffaf55](9ffaf55)), closes [#168](#168) * Support vector machine for regression and for classification ([#236](#236)) ([7f6c3bd](7f6c3bd)), closes [#154](#154) * usable constructor for `Table` ([#294](#294)) ([56a1fc4](56a1fc4)), closes [#266](#266) * usable constructor for `TaggedTable` ([#299](#299)) ([01c3ad9](01c3ad9)), closes [#293](#293) ### Bug Fixes * OneHotEncoder no longer creates duplicate column names ([#271](#271)) ([f604666](f604666)), closes [#201](#201) * selectively ignore one warning instead of all warnings ([#235](#235)) ([3aad07d](3aad07d))
🎉 This issue has been resolved in version 0.12.0 🎉 The release is available on:
Your semantic-release bot 📦🚀 |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Is your feature request related to a problem?
Currently, a boxplot can only be created for one column at a time. It would be useful to create one plot that contains boxplots for all numerical columns in a
Table
.Desired solution
plot_boxplots
(note the s) to theTable
classPossible alternatives (optional)
No response
Screenshots (optional)
No response
Additional Context (optional)
No response
The text was updated successfully, but these errors were encountered: