<｜begin▁of▁sentence｜>### Instruction:
A biologist has a dataset containing various measurements from three species of iris flowers (setosa, versicolor, and virginica). The dataset includes sepal length, sepal width, petal length, and petal width for each flower sample. The biologist wants to visualize the pairwise relationships and distribution of these features across different species using a pairplot. How can the biologist use the 'graspologic.plot.pairplot' function to generate this visualization?
### Response:
import graspologic
import seaborn as sns
import numpy as np
from graspologic.plot import pairplot

# Load Iris dataset
iris = sns.load_dataset('iris')
# Obtain features (first 4 columns) and class labels
X = iris.iloc[:, 0:4].to_numpy()
labels = iris['species'].to_numpy()
col_names = iris.columns[0:4]

# Create a pairplot
pairplot_result = pairplot(X, labels=labels, col_names=col_names,
                         title='Iris Pairplot', legend_name='Species',
                         variables=None, height=2.5, context='talk',
                         font_scale=1, palette='Set1', alpha=0.7, size=20,
                         marker='o')

# Display the pairplot
import matplotlib.pyplot as plt
plt.show()
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