Regression overlay#
A regression overlay adds a fit line to a scatter plot. Pass a
gufo.regression() config to the fit parameter of .scatter().
gufo.chart(df).scatter("x", "y", fit=gufo.regression()).show()
Polynomial fit#
gufo.chart(df).scatter("x", "y", fit=gufo.regression(degree=2)).show()
Styling the fit line#
gufo.chart(df).scatter(
"x", "y",
fit=gufo.regression(color="red", linestyle="--", linewidth=3),
).show()
With grouped scatter#
When using categorical color encoding, the regression fits across all groups (one line for the full dataset).
gufo.chart(df).scatter(
"x", "y", color="category", fit=gufo.regression()
).show()
Custom label#
gufo.chart(df).scatter(
"x", "y", fit=gufo.regression(label="Trend")
).legend().show()
By default, the label is “Linear fit” (degree 1) or “Poly(N) fit” (degree N).