Visualize how numerical data is distributed.
1
2
3
4
5
6
7
8
9
10
11
12
| import matplotlib.pyplot as plt
import seaborn as sns
df = sns.load_dataset("iris")
sns.set(rc={"figure.figsize": (12, 8)})
sns.kdeplot(df["sepal_length"])
sns.kdeplot(df["sepal_width"])
sns.kdeplot(df["petal_length"])
sns.kdeplot(df["petal_width"])
plt.legend(labels=["sepal_length", "sepal_width", "petal_length", "petal_width"])
plt.show()
|
