[Seaborn](https://www.educative.io/answers/seaborn-library-in-python) is a Python visualization library built on top of `matplotlib` that offers a high-level interface for creating visually appealing and statistical visuals. We will use `seaborn` to change the figure size of a plot.

##  
### Syntax
To change the figure size in `seaborn`, the following syntax is used:

    width = 20
    height = 8
    sns.set(rc = {'figure.figsize':(width, height)})

Here, `sns.set()` is being used to set the figure size of the plot. Although it can also be used to set the other properties of the plot.

> **Note:** `sns` is an alias of seaborn
##  
### Code example
Let's create a scatter plot of `tips` dataset by loading it from `seaborn`. The `width` and `height` are currently set as $20$ and $8$, respectively. But these values can be changed according to the required size of the figure. Try different sizes of the figure by changing the `width` and `height` in the following code:

# importing libraries
import seaborn as sns
import matplotlib.pyplot as plt

# Load tips dataset
tips = sns.load_dataset("tips")

# setting the figure size
width = 20
height = 8
sns.set(rc = {'figure.figsize':(width,height)})

# setting the font of plot
sns.set(font_scale=1.5)

# plotting the scatterplot
sns.scatterplot(x="total_bill", y="tip", data=tips)

# show plot
plt.show()

Seaborn

##  
### Code explanation
Here is a line-by-line explanation of the code above:
- **Lines 9–11:** We set the size of the figure by using `sns.set()`. Here, `width` and `height` is set as $20$ and $8$, respectively.

- **Line 14:** We draw the scatter plot of the `tips` dataset using the `sns.scatterplot()` function.

- **Line 17:** The `plt.show()` function is used to display the plot.

seaborn5.tar.gz

How to change the figure size in seaborn

To adjust figure size in seaborn, use `sns.set(rc={'figure.figsize':(width, height)})` before plotting.