lets_plot.scale_x_continuous

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

Continuous position scale x.

Parameters
namestr

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.

breakslist

A numeric vector of positions (of ticks).

labelslist of str

A vector of labels (on ticks).

limitslist

A numeric vector of length two providing limits of the scale.

expandlist

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.

formatstr

Define 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.

positionstr

The position of the axis:

  • ‘left’, ‘right’ or ‘both’ for y-axis;

  • ‘top’, ‘bottom’ or ‘both’ for x-axis.

Returns
FeatureSpec

Scale specification.

Examples

1import numpy as np
2from lets_plot import *
3LetsPlot.setup_html()
4np.random.seed(42)
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')