# import necessary libraries
import pandas as pd

# read data frame 
df = pd.read_csv('http://bit.ly/kaggletrain', nrows=10)

# select some or all features of the dataset
cols = ['Embarked']
X = df[cols]

# import necessary libraries
from sklearn.preprocessing import LabelEncoder

# initialize one-hot encoder object
encoder = LabelEncoder()

# fit and transform the data
encoded_data = encoder.fit_transform(X)

# print the encoded data
print(encoded_data)