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
from sklearn.preprocessing import LabelEncoder
le = LabelEncoder()
companydata.ShelveLoc = le.fit_transform(companydata.ShelveLoc)transform categorical variables python
from sklearn.preprocessing import LabelEncoder
lb_make = LabelEncoder()
obj_df["make_code"] = lb_make.fit_transform(obj_df["make"])
obj_df[["make", "make_code"]].head(11)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))Copyright © 2021 Codeinu
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