L. Fernandes lauramsfernandes

## reverse_decoding_mapping.py
reverse_length_mapping = {v: k for k, vi in length_mapping.items()}

df['Length'] = df['Length'].map(reverse_length_mapping)
df

## decoding_mapping.py
reverse_length_mapping ={1 : 'Short',
                         2 : 'Medium',
                         3 : 'Long' }

df['Length'] = df['Length'].map(reverse_length_mapping)
df

## get_dummies_drop_first.py
df = pd.get_dummies(df, drop_first=True)

## get_dummies.py
df = pd.get_dummies(df)

## mapping.py
length_mapping ={'Short' : 1,
                 'Medium': 2,
                 'Long' : 3}

df['Length'] = df['Length'].map(length_mapping)
df

## df_categorical_variables.py
import pandas as pd

index = ['Ana', 'Ian', 'Eva', 'Dan', 'Kim']
columns = ['Color', 'Type', 'Length']
ana = ['Brown', 'Straight', 'Short']
ian = ['Black', 'Wavy', 'Short']
eva = ['Red', 'Curly', 'Long']
dan = ['Blonde', 'Straight', 'Long']
kim = ['Brown', 'Curly', 'Medium']
	reverse_length_mapping = {v: k for k, vi in length_mapping.items()}

	df['Length'] = df['Length'].map(reverse_length_mapping)
	df
	reverse_length_mapping ={1 : 'Short',
	2 : 'Medium',
	3 : 'Long' }

	df['Length'] = df['Length'].map(reverse_length_mapping)
	df
	length_mapping ={'Short' : 1,
	'Medium': 2,
	'Long' : 3}

	df['Length'] = df['Length'].map(length_mapping)
	df
	import pandas as pd

	index = ['Ana', 'Ian', 'Eva', 'Dan', 'Kim']
	columns = ['Color', 'Type', 'Length']
	ana = ['Brown', 'Straight', 'Short']
	ian = ['Black', 'Wavy', 'Short']
	eva = ['Red', 'Curly', 'Long']
	dan = ['Blonde', 'Straight', 'Long']
	kim = ['Brown', 'Curly', 'Medium']