. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 372 15.7 Computing indicator / dummy variables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 373 15.8 Factorizing (GH5952). See NA Values. • Added Series.str.get_dummies vectorized string method (GH6021), to extract dummy/indicator vari- ables for separated string columns: In [23]: s = Series([’a’, ’a|b’, np.nan, ’a|c’]) Returns an array of column-keyed dictionaries. (GH4936) • NaN handing in get_dummies (GH4446) with dummy_na # previously, nan was erroneously counted as 2 here # now it is not counted at all In [62]: get_dummies([1

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 410 15.7 Computing indicator / dummy variables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 410 15.8 Factorizing (GH5952). See NA Values. • Added Series.str.get_dummies vectorized string method (GH6021), to extract dummy/indicator vari- ables for separated string columns: In [23]: s = Series([’a’, ’a|b’, np.nan, ’a|c’]) Returns an array of column-keyed dictionaries. (GH4936) • NaN handing in get_dummies (GH4446) with dummy_na # previously, nan was erroneously counted as 2 here # now it is not counted at all In [62]: get_dummies([1

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 497 18.7 Computing indicator / dummy variables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 497 18.8 Factorizing (GH5952). See NA Values. • Added Series.str.get_dummies vectorized string method (GH6021), to extract dummy/indicator vari- ables for separated string columns: In [23]: s = Series([’a’, ’a|b’, np.nan, ’a|c’]) Returns an array of column-keyed dictionaries. (GH4936) • NaN handing in get_dummies (GH4446) with dummy_na # previously, nan was erroneously counted as 2 here # now it is not counted at all In [62]: get_dummies([1

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 487 18.7 Computing indicator / dummy variables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 487 18.8 Factorizing (GH5952). See NA Values. • Added Series.str.get_dummies vectorized string method (GH6021), to extract dummy/indicator vari- ables for separated string columns: In [23]: s = Series([’a’, ’a|b’, np.nan, ’a|c’]) Returns an array of column-keyed dictionaries. (GH4936) • NaN handing in get_dummies (GH4446) with dummy_na # previously, nan was erroneously counted as 2 here # now it is not counted at all In [62]: get_dummies([1

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 585 19.7 Computing indicator / dummy variables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 585 19.8 Factorizing (GH5952). See NA Values. • Added Series.str.get_dummies vectorized string method (GH6021), to extract dummy/indicator vari- ables for separated string columns: In [23]: s = Series(['a', 'a|b', np.nan, 'a|c']) Returns an array of column-keyed dictionaries. (GH4936) • NaN handing in get_dummies (GH4446) with dummy_na # previously, nan was erroneously counted as 2 here # now it is not counted at all In [62]: get_dummies([1

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 806 18.8 Computing indicator / dummy variables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 807 18.9 Factorizing handled. 1.6.1.10 get_dummies now returns integer dtypes The pd.get_dummies function now returns dummy-encoded columns as small integers, rather than floats (GH8725). This should provide an improved memory (GH5952). See NA Values. • Added Series.str.get_dummies vectorized string method (GH6021), to extract dummy/indicator vari- ables for separated string columns: In [23]: s = Series(['a', 'a|b', np.nan, 'a|c'])

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 802 18.8 Computing indicator / dummy variables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 803 18.9 Factorizing handled. 1.5.1.10 get_dummies now returns integer dtypes The pd.get_dummies function now returns dummy-encoded columns as small integers, rather than floats (GH8725). This should provide an improved memory (GH5952). See NA Values. • Added Series.str.get_dummies vectorized string method (GH6021), to extract dummy/indicator vari- ables for separated string columns: In [23]: s = Series(['a', 'a|b', np.nan, 'a|c'])

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 720 19.8 Computing indicator / dummy variables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 720 19.9 Factorizing Release 0.19.0 get_dummies now returns integer dtypes The pd.get_dummies function now returns dummy-encoded columns as small integers, rather than floats (GH8725). This should provide an improved memory (GH5952). See NA Values. • Added Series.str.get_dummies vectorized string method (GH6021), to extract dummy/indicator vari- ables for separated string columns: In [23]: s = Series(['a', 'a|b', np.nan, 'a|c'])

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 722 19.8 Computing indicator / dummy variables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 722 19.9 Factorizing conditions are handled. get_dummies now returns integer dtypes The pd.get_dummies function now returns dummy-encoded columns as small integers, rather than floats (GH8725). This should provide an improved memory (GH5952). See NA Values. • Added Series.str.get_dummies vectorized string method (GH6021), to extract dummy/indicator vari- ables for separated string columns: In [23]: s = Series(['a', 'a|b', np.nan, 'a|c'])

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 836 18.8 Computing indicator / dummy variables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 837 18.9 Factorizing handled. 1.8.1.10 get_dummies now returns integer dtypes The pd.get_dummies function now returns dummy-encoded columns as small integers, rather than floats (GH8725). This should provide an improved memory (GH5952). See NA Values. • Added Series.str.get_dummies vectorized string method (GH6021), to extract dummy/indicator vari- ables for separated string columns: In [23]: s = Series(['a', 'a|b', np.nan, 'a|c'])