# How to Plot a Normal Distribution in Seaborn (With Examples)

You can use the following methods to plot a normal distribution with the seaborn data visualization library in Python:

Method 1: Plot Normal Distribution Histogram

```sns.displot(x)
```

Method 2: Plot Normal Distribution Curve

`sns.displot(x, kind='kde')`

Method 3: Plot Normal Distribution Histogram with Curve

`sns.displot(x, kde=True)`

The following examples show how to use each method in practice.

### Example 1: Plot a Normal Distribution Histogram

The following code shows how to plot a normal distribution histogram in seaborn:

```import numpy as np
import seaborn as sns

#make this example reproducible
np.random.seed(0)

#create data
x = np.random.normal(size=1000)

#create normal distribution histogram
sns.displot(x)
``` ### Example 2: Plot a Normal Distribution Curve

The following code shows how to plot a normal distribution curve in seaborn:

```import numpy as np
import seaborn as sns

#make this example reproducible
np.random.seed(0)

#create data
x = np.random.normal(size=1000)

#create normal distribution curve
sns.displot(x, kind='kde')``` ### Example 3: Plot a Normal Distribution Histogram with Curve

The following code shows how to plot a normal distribution histogram with a curve in seaborn:

```import numpy as np
import seaborn as sns

#make this example reproducible
np.random.seed(0)

#create data
x = np.random.normal(size=1000)

#create normal distribution curve
sns.displot(x, kde=True)``` 