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fillna()
und dropna()
in Table and Column
#10
Comments
These transformations can already be done using the current API:
I would definitely object
These operations should also only be added to |
Closes #10. ### Summary of Changes Add methods to `Table` to handle missing values: * `drop_columns_with_missing_values` returns a `Table` without the columns that have missing values. * `drop_rows_with_missing_values` returns a `Table` without the rows that have missing values. --------- Co-authored-by: lars-reimann <[email protected]>
## [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)
🎉 This issue has been resolved in version 0.6.0 🎉 The release is available on:
Your semantic-release bot 📦🚀 |
Is your feature request related to a problem? Please describe
when handling missing values in tables, a function to handle these values would be useful.
Desired solution
Thinking of pandas it could be similar to
Table.dropna(list[column_names: str])
andTable.fillna(column_name: str, replace_value)
. As well asColumn.dropna()
andColumn.fillna(replace_value)
.The text was updated successfully, but these errors were encountered: