Convert categorical variable into indicator variables

import seaborn as sns
import pandas as pd

df = sns.load_dataset('penguins')
df

	species	island	bill_length_mm	bill_depth_mm	flipper_length_mm	body_mass_g	sex
0	Adelie	Torgersen	39.1	18.7	181.0	3750.0	Male
1	Adelie	Torgersen	39.5	17.4	186.0	3800.0	Female
2	Adelie	Torgersen	40.3	18.0	195.0	3250.0	Female
3	Adelie	Torgersen	NaN	NaN	NaN	NaN	NaN
4	Adelie	Torgersen	36.7	19.3	193.0	3450.0	Female
...	...	...	...	...	...	...	...
339	Gentoo	Biscoe	NaN	NaN	NaN	NaN	NaN
340	Gentoo	Biscoe	46.8	14.3	215.0	4850.0	Female
341	Gentoo	Biscoe	50.4	15.7	222.0	5750.0	Male
342	Gentoo	Biscoe	45.2	14.8	212.0	5200.0	Female
343	Gentoo	Biscoe	49.9	16.1	213.0	5400.0	Male

344 rows × 7 columns

pd.get_dummies(df, columns=['sex'])

	species	island	bill_length_mm	bill_depth_mm	flipper_length_mm	body_mass_g	sex_Female	sex_Male
0	Adelie	Torgersen	39.1	18.7	181.0	3750.0	False	True
1	Adelie	Torgersen	39.5	17.4	186.0	3800.0	True	False
2	Adelie	Torgersen	40.3	18.0	195.0	3250.0	True	False
3	Adelie	Torgersen	NaN	NaN	NaN	NaN	False	False
4	Adelie	Torgersen	36.7	19.3	193.0	3450.0	True	False
...	...	...	...	...	...	...	...	...
339	Gentoo	Biscoe	NaN	NaN	NaN	NaN	False	False
340	Gentoo	Biscoe	46.8	14.3	215.0	4850.0	True	False
341	Gentoo	Biscoe	50.4	15.7	222.0	5750.0	False	True
342	Gentoo	Biscoe	45.2	14.8	212.0	5200.0	True	False
343	Gentoo	Biscoe	49.9	16.1	213.0	5400.0	False	True

344 rows × 8 columns