Changelog

Source: NEWS.md

fastDummies 1.6.3 Unreleased

  • Fix bug where inputting a vector or a one column data.frame returned an issue. Now will convert the vector to a data.frame and return that. Will name each column “.data_”. Closes #23 by @Garyf20.
  • Fix bug where remove_most_frequent_dummy wasn’t working right when there was a tie for which value was the most frequent. Closes #22 by eden70.

fastDummies 1.6.2 2020-09-16

  • Dummy columns are now returned in alphabetical order including numeric order (e.g. photos_2 is before photos_11).

fastDummies 1.6.1 2020-03-07

  • Bug fixes.
  • Dummy columns are now returned in alphabetical order.

fastDummies 1.6.0 2019-11-29

  • Adds the parameter remove_selected_columns to dummy_columns(). If TRUE (not default), removes the columns which are used to create the dummy columns.

fastDummies 1.5.0 2019-09-02

  • Removes sort_columns parameter. Now by default will order by level if the variable is a factor type.
  • Fix bug where split parameter didn’t work properly.
  • If value is NA, sets to NA in dummy column rather than value of 0. Closes #18 by @DLustenBerger.

fastDummies 1.4.1 Unreleased

  • Fix bug when column is factor type when using split parameter. Thanks to Matthew Sigal for submitting issue on GitHub.

fastDummies 1.4.0 2019-06-17

  • Adds option to ignore NA values in dummy_cols (doesn’t make a variable_NA) column is selected. Thanks to juribep5 for the GitHub suggestion.
  • Adds split parameter in dummy_cols to handle if a row has multiple categories. Thanks to Matthew Sigal and Andrew Fernandes for the GitHub suggestion.

fastDummies 1.3.0 2019-04-22

  • Adds option to sort dummy columns following the order of the original factor variable. Thanks to Patrick Baylis for the pull request with the code for this feature!

fastDummies 1.2.0 2018-06-21

  • Adds option to exclude the most frequently observed category rather than the first category as is default. Thanks to GitHub user S-UP for the suggestion!

fastDummies 1.1.0 2018-03-03

  • Thanks to GitHub user yu45020 dummy_cols() is now about >20% faster and much more memory efficient.

  • Both dummy_cols() and dummy_rows() now return the same data type inputted e.g. data.frame input returns data.frame, tibble returns tibble.

  • Fix documentation that incorrectly said default value for new dummy rows is 0. It is in fact a value of NA.

fastDummies 1.0.0 2018-01-08

  • Reduces number of parameter that were in previous version.

  • Significant speed increases for both dummy_cols() and dummy_rows() functions.

  • dummy_cols() now accepts numeric columns.