# Customizing the Shape and Color of Mean Marker in Seaborn Boxplots

You can use the `boxplot`

function from seaborn python package to plot the boxplot.

You can show the mean on the seaborn boxplot using the `showmeans=True`

parameter. By default, it shows the mean by
a green triangle marker.

You can adjust the shape, size, and color of the mean marker on seaborn boxplot using the `meanprops`

parameter.

The following example explains how to customize the shape and color of the mean marker on seaborn boxplot.

Let’s create a random dataset for three groups using the `rand`

function from NumPy,

```
# import packages
import numpy as np
data = np.random.rand(50, 3)
```

We have created the pandas DataFrame with three variables.

Plot the the boxplot using the `boxplot`

function from seaborn and show the mean with the `showmeans`

parameter,

```
# import package
import seaborn as sns
import matplotlib.pyplot as plt
# plot boxplot
sns.boxplot(data=data, showmeans=True)
plt.show()
```

In the above figure, we have generated a boxplot and displayed the mean of each variable by a green triangle.

You can change the color, shape, and size of the mean marker using the `meanprops`

parameter in seaborn.

```
# import package
import seaborn as sns
import matplotlib.pyplot as plt
# plot boxplot and change color and shape of the mean marker
sns.boxplot(data=data, showmeans=True,
meanprops=({"marker":"*",
"markerfacecolor":"red",
"markeredgecolor": "red",
"markersize":15}))
plt.show()
```

You can see that we have generated a boxplot and displayed the mean of each variable by a red star.

Based on your requirement, you can change the shape, size, and color of the marker using the `meanprops`

parameter in seaborn.