📅  最后修改于: 2023-12-03 15:34:53.930000             🧑  作者: Mango
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'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.
seaborn.set(context='notebook', style='darkgrid', palette='deep', font='sans-serif', font_scale=1, color_codes=True, rc=None)
plotting_context()
.axes_style()
.color_palette()
.matplotlib font manager
.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.
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.