Seaborn¶

Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics.

As Seaborn builds on matplotlib it works perfectly with PyXLL’s plot function.

All Seaborn plot functions use matplotlib.pyplot to plot to the current pyplot figure. This can then be displayed in Excel using plot. When passed no arguments, plot plots the current matplotlib.pyplot figure and closes it.

Plots created using Seaborn are displayed in Excel as images and are not interactive controls.

from pyxll import plot, xl_func
import seaborn as sns

@xl_func
def sns_plot():
    # Load a dataset to plot
    penguins = sns.load_dataset("penguins")

    # Plot a histogram, plotted to the current matplotlib.pyplot figure
    sns.histplot(data=penguins, x="flipper_length_mm", hue="species", multiple="stack")

    # Show the current matplotlib.pyplot figure using pyxll.plot
    plot()

As with the previous matplotlib examples, when this function is called from Excel the plot is shown below the calling cell.

The Seaborn plotting functions also optionally take matplotlib.Axes objects. This can be used to plot to a specific Axes object instead of to the current matplotlib.pyplot figure. For example, for doing subplots or if you need more control over the matplotlib.Figure being used.

from pyxll import plot, xl_func
import matplotlib.pyplot as plt
import seaborn as sns

@xl_func
def sns_plot():
    # Load a dataset to plot
    penguins = sns.load_dataset("penguins")

    # Create the matplotlib Figure and Axes objects
    fig, ax = plt.subplots()

    # Plot a histogram to the Axes we just created
    sns.histplot(data=penguins, x="flipper_length_mm", hue="species", multiple="stack", ax=ax)

    # Show the matplotlib Figure created above
    plot(fig)