Python for Data Science - Tips Dataset EDA with Matplotlib, Pandas and Seaborn Relplot
Автор: SlideScope
Загружено: 2025-10-13
Просмотров: 40
#seaborn #python #pythonfordatascience
Seaborn’s relplot() is a powerful function used to create relationship plots in Python. It acts as a figure-level interface for visualizing the relationship between two or more variables, combining the functionality of scatterplot() and lineplot() into a flexible and easy-to-use tool. By default, relplot() creates a scatter plot but can also display line plots using the kind parameter (kind='line'). It supports additional grouping through the hue, size, and style arguments, allowing users to visualize complex datasets with multiple dimensions. Moreover, it integrates seamlessly with Seaborn’s FacetGrid, enabling easy creation of multi-plot grids using col or row to display data subsets. This makes it especially useful for exploring trends, correlations, and comparisons across categories or time. Overall, relplot() simplifies exploratory data analysis by providing a high-level, visually appealing, and highly customizable approach to relational data visualization in Python.
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