如何在不增加数据大小的情况下将大熊猫中的分类变量转换为数值？

Question

I am trying to convert categorical data into numerical using get_dummies() but the size of data increases from 1 X 1 to 1 X 22 because there are 22 different categorical variables.

I used get_dummies() from pandas.

Code:

data['program_id'].unique()

cols_to_transform = data['program_id'].loc[:]

df_with_dummies = pd.get_dummies( data=cols_to_transform )

How can I convert categorical data of my column into numerical without increasing the size of data.

Screenshot:

Answer 1

You can using factorize

df['columns']=pd.factorize(df['columns'])[0]#df.columns.astype('category').cat.codes

Or LabelEncoder from sklearn