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Allow calling correlation_heatmap on Table with non-numerical columns #89

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lars-reimann opened this issue Mar 26, 2023 · 1 comment · Fixed by #92
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Allow calling correlation_heatmap on Table with non-numerical columns #89

lars-reimann opened this issue Mar 26, 2023 · 1 comment · Fixed by #92
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enhancement 💡 New feature or request good first issue Good for newcomers released Included in a release

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@lars-reimann
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Is your feature request related to a problem?

Currently, calling correlation_heatmap on a Table with non-numerical columns raises a NonNumericColumnError. Because of this, a user first must create a Table containing only the numerical columns before the method can be called. This Table may not be needed afterwards, so this is just an unnecessary step for users. For a visualization method meant to provide an overview of the data, that's too cumbersome.

Desired solution

Just ignore the non-numerical columns and plot the others.

Possible alternatives (optional)

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@lars-reimann lars-reimann added enhancement 💡 New feature or request good first issue Good for newcomers labels Mar 26, 2023
@lars-reimann lars-reimann self-assigned this Mar 27, 2023
lars-reimann added a commit that referenced this issue Mar 27, 2023
…92)

Closes #89.

### Summary of Changes

We no longer raise an exception when `correlation_heatmap` is called on
a table with some non-numerical columns. Instead, we simply don't show
these columns in the created plot.

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Co-authored-by: lars-reimann <lars-reimann@users.noreply.github.com>
lars-reimann pushed a commit that referenced this issue Mar 27, 2023
## [0.6.0](v0.5.0...v0.6.0) (2023-03-27)

### Features

* allow calling `correlation_heatmap` with non-numerical columns ([#92](#92)) ([b960214](b960214)), closes [#89](#89)
* function to drop columns with non-numerical values from `Table` ([#96](#96)) ([8f14d65](8f14d65)), closes [#13](#13)
* function to drop columns/rows with missing values ([#97](#97)) ([05d771c](05d771c)), closes [#10](#10)
* remove `list_columns_with_XY` methods from `Table` ([#100](#100)) ([a0c56ad](a0c56ad)), closes [#94](#94)
* rename `keep_columns` to `keep_only_columns` ([#99](#99)) ([de42169](de42169))
* rename `remove_outliers` to `drop_rows_with_outliers` ([#95](#95)) ([7bad2e3](7bad2e3)), closes [#93](#93)
* return new model when calling `fit` ([#91](#91)) ([165c97c](165c97c)), closes [#69](#69)

### Bug Fixes

* handling of missing values when dropping rows with outliers ([#101](#101)) ([0a5e853](0a5e853)), closes [#7](#7)
@lars-reimann
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🎉 This issue has been resolved in version 0.6.0 🎉

The release is available on:

Your semantic-release bot 📦🚀

@lars-reimann lars-reimann added the released Included in a release label Mar 27, 2023
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