# import necessary libraries
import pandas as pd
from sklearn.datasets import load_iris

# load the iris dataset
iris = load_iris()

# convert the data to a Pandas dataframe
df = pd.DataFrame(iris.data, columns=iris.feature_names)

# add the target column to the dataframe
df['target'] = iris.target

# view the dataset
print(df.sample(5))