📜  seaborrn set figsize - Python (1)

📅  最后修改于: 2023-12-03 15:34:53.930000             🧑  作者: Mango

Introduction to Seaborn Set Figsize in Python

Seaborn is a data visualization library built on top of matplotlib. It provides a high-level interface for creating informative and attractive statistical graphics. One important aspect of creating effective visualizations is choosing the right size for your plot. In this article, we will explore how to set the figure size in Seaborn using its set function.

Seaborn Set Function

Seaborn's set function is an easy way to customize the appearance of your plot. It allows you to set several parameters such as the figure size, font size, color palette, etc.

Syntax
seaborn.set(context='notebook', style='darkgrid', palette='deep', font='sans-serif', font_scale=1, color_codes=True, rc=None)
Parameters
  • context: string, optional (default: "notebook")
    • Plotting context parameters, see plotting_context().
  • style: string, optional (default: "darkgrid")
    • Axes style parameters, see axes_style().
  • palette: string or sequence, optional (default: "deep")
    • Color palette, see color_palette().
  • font: string, optional (default: "sans-serif")
    • Font family, see matplotlib font manager.
  • font_scale: float, optional (default: 1)
    • Separate scaling factor to independently scale the size of the font elements.
  • color_codes: bool, optional (default: True)
    • Whether to interpret color codes in the palette as RGB or hex strings.
  • rc: dict or None, optional (default: None)
    • Dictionary of rc parameter mappings to override the above.
Example

Here's an example of how to set the figure size using Seaborn set function:

import seaborn as sns
import matplotlib.pyplot as plt

# Create a scatter plot
sns.scatterplot(x="total_bill", y="tip", data=tips)

# Set the figure size
sns.set(rc={'figure.figsize':(8,6)})

# Show the plot
plt.show()

In this example, we first create a scatter plot using Seaborn's scatterplot function. Then, we use the set function to set the figure size to (8,6). Finally, we show the plot using Matplotlib's show function.

Conclusion

The Seaborn set function is a powerful tool for customizing the appearance of your plot. By setting the figure size, you can create more effective and informative visualizations.