break_width Parameter in Position Scales

The break_width parameter specifies a fixed distance between axis breaks.

If the scale has an associated transformation, the distance is measured in transformed units.
For example, on a log10 scale, break_width=1 places breaks at every power of 10, and break_width=0.5 — at every half-power.

import pandas as pd

from lets_plot import *

LetsPlot.setup_html()

df = (pd.read_csv("https://raw.githubusercontent.com/JetBrains/lets-plot-docs/refs/heads/master/data/diamonds.csv")
       .sample(n=5000, random_state=42))
print(df.shape)

(5000, 10)

ggplot(df, aes(x='carat', y='price')) + \
    geom_point(alpha=0.3) + \
    scale_y_log10()             # <-- a log10 scale with auto-selected breaks

ggplot(df, aes(x='carat', y='price')) + \
    geom_point(alpha=0.3) + \
    scale_y_log10(break_width=0.5)   # <-- breaks every 0.5 powers of 10