seaborn.lineplot — seaborn 0.13.2 documentation
Draw a line plot with possibility of several semantic groupings. The relationship between x and y can be shown for different subsets of the data using the hue, size, and style parameters. …
An introduction to seaborn — seaborn 0.13.2 documentation
Seaborn is a library for making statistical graphics in Python. It builds on top of matplotlib and integrates closely with pandas data structures. Seaborn helps you explore and understand …
seaborn.lineplot — seaborn 0.11.2 documentation
Draw a line plot with possibility of several semantic groupings. The relationship between x and y can be shown for different subsets of the data using the hue, size, and style parameters. …
Overview of seaborn plotting functions
Most of your interactions with seaborn will happen through a set of plotting functions. Later chapters in the tutorial will explore the specific features offered by each function. This chapter …
seaborn.regplot — seaborn 0.13.2 documentation
If True, estimate and plot a regression model relating the x and y variables. ci int in [0, 100] or None, optional. Size of the confidence interval for the regression estimate. This will be drawn …
Estimating regression fits — seaborn 0.13.2 documentation
In the simplest invocation, both functions draw a scatterplot of two variables, x and y, and then fit the regression model y ~ x and plot the resulting regression line and a 95% confidence interval …
seaborn: statistical data visualization — seaborn 0.13.2 …
Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics. For a brief introduction to …
Line plots on multiple facets — seaborn 0.13.2 documentation
Line plots on multiple facets# seaborn components used: set_theme(), load_dataset(), color_palette(), relplot()
Visualizing statistical relationships — seaborn 0.13.2 documentation
This is a figure-level function for visualizing statistical relationships using two common approaches: scatter plots and line plots. relplot() combines a FacetGrid with one of two axes …
Visualizing distributions of data — seaborn 0.13.2 documentation
Plotting univariate histograms# Perhaps the most common approach to visualizing a distribution is the histogram . This is the default approach in displot() , which uses the same underlying code …