PYTHON

label encoding in pandas

# Import label encoder
from sklearn import preprocessing
  
# label_encoder object knows how to understand word labels.
label_encoder = preprocessing.LabelEncoder()
  
# Encode labels in column 'species'.
df['species']= label_encoder.fit_transform(df['species'])
  
df['species'].unique()

label encoding column pandas

import seaborn as sns 
df = sns.load_dataset('iris')
df['species'] = df['species'].astype('category').cat.codes
df.head(3)
'''sepal_length	sepal_width	petal_length	petal_width	species
	5.1					3.5			1.4					0.2			0
	4.9					3.0			1.4					0.2			0
	4.7					3.2			1.3					0.2			0'''

label encoding of a column in python

import seaborn as sns 
df = sns.load_dataset('iris')
def encode(x):
    for i,j in enumerate(df['species'].unique()):
        if x == j:
            return i

df['species'] = df['species'].apply(lambda x:encode(x))