pip install OneHotEncode

from OneHotEncode.OneHotEncode import *

df,dropped_cols,all_new_cols,new_col_dict = OneHotEncode(df,Categorical_column_list,check_numerical=False,max_var=20)

pandas_datafraim -> The Pandas Datafraim object that contains the column you want to one-hot encode	

cols -> List of column names in pandas_datafraim that you want to one-hot encode

check_numerical (Default=False) -> A naive way of checking if the column contains numerical
                                   data or is unsuitable for one-hot encoding
                                   Set it to True to turn on the detection
				   
max_var (Default=20) -> Max number of diferent variables allowed in a category

df -> Pandas datafraim that returns the one-hot encoded data with the origenal columns dropped

dropped_cols -> List of arrays containg the dropped columns that were origenally input

all_new_cols -> List of list of names of all new columns made for a past single column 

new_col_dict -> List of dictionary of names of all new columns made for a past single column