Pair plot#

A pair plot shows scatter plots for every pair of numeric columns, with histograms along the diagonal. Useful for quickly exploring relationships across multiple variables.

gufo.pairplot(df).show()

Color by category#

gufo.pairplot(df, color="species").show()

Column subset#

By default, all numeric columns are included. Use columns to limit which variables appear.

gufo.pairplot(df, columns=["sepal_length", "sepal_width", "petal_length"]).show()

Saving and customization#

pairplot() returns a Grid, so all grid methods work:

gufo.pairplot(df, color="species").title("Iris Dataset").save("pairs.png", dpi=300)

API reference#

gufo.layout.pairplot.pairplot(data, columns=None, *, color=None, figsize=None)[source]#

Create a pair plot grid from columnar data.

Generates an NxN grid where diagonal cells show histograms and off-diagonal cells show scatter plots for every pair of numeric columns.

Parameters#

dataDataFrame, dict, or similar: The data source. Must have named columns.
columnslist of str or None: Which columns to include. If None, all numeric columns are used automatically.
colorstr or None: Column name for categorical color encoding. Applied to all panels.
figsizetuple or None: Figure size as (width, height). Defaults to (n*3, n*3).

Returns#

Grid: A Grid instance ready for .show() or .save().