lets_plot.scale_x_continuous(name=None, breaks=None, labels=None, limits=None, expand=None, na_value=None, trans=None, format=None)

Continuous position scale x.

  • name (str) – The name of the scale - used as the axis label or the legend title. If None, the default, the name of the scale is taken from the first mapping used for that aesthetic.

  • breaks (list) – A numeric vector of positions (of ticks).

  • labels (list of str) – A vector of labels (on ticks).

  • limits (list) – A numeric vector of length two providing limits of the scale.

  • expand (list) – A numeric vector of length two giving multiplicative and additive expansion constants. The vector size == 1 => only multiplicative expand (and additive expand by default). Defaults: multiplicative = 0.05, additive = 0.

  • na_value – Missing values will be replaced with this value.

  • trans ({‘identity’, ‘log10’, ‘sqrt’, ‘reverse’}) – Name of built-in transformation.

  • format (str) – Defines the format for labels on the scale. The syntax resembles Python’s: ‘.2f’ -> ‘12.45’ ‘Num {}’ -> ‘Num 12.456789’ ‘TTL: {.2f}$’ -> ‘TTL: 12.45$’ For more info see https://lets-plot.org/pages/formats.html.


Scale specification.

Return type



1import numpy as np
2from lets_plot import *
5x = np.random.randint(-10, 10, size=100)
6ggplot({'x': x}, aes(x='x')) + geom_bar(stat='bin', bins=8) + \
7    scale_x_continuous(name='observations', breaks=[-9, -3, 3, 9], \
8                       limits=[-8, 11], expand=[.2], format='.1f')