text_plain_output_1.png
import matplotlib.pyplot as plt

import pandas as pd

import seaborn as sns

import pandas as pd
iris = pd.read_csv('../input/iris/Iris.csv')

import seaborn as sns
import matplotlib.pyplot as plt
sns.FacetGrid(iris, hue='Species', height=5).map(plt.scatter, 'SepalLengthCm', 'SepalWidthCm').add_legend()

fig = iris[iris.Species == 'Iris-setosa'].plot.scatter(x='PetalLengthCm', y='PetalWidthCm', color='orange', label='Setosa')
iris[iris.Species == 'Iris-versicolor'].plot.scatter(x='PetalLengthCm', y='PetalWidthCm', color='blue', label='versicolor', ax=fig)
iris[iris.Species == 'Iris-virginica'].plot.scatter(x='PetalLengthCm', y='PetalWidthCm', color='green', label='virginica', ax=fig)
fig.set_xlabel('Petal Length')
fig.set_ylabel('Petal Width')
fig.set_title(' Petal Length VS Width')
fig = plt.gcf()
fig.set_size_inches(10, 6)
plt.show()