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')