lets_plot.scale_x_discrete#
- lets_plot.scale_x_discrete(name=None, *, breaks=None, labels=None, lablim=None, limits=None, expand=None, na_value=None, reverse=None, format=None, position=None)#
Discrete 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 or dict
A list of data values specifying the positions of ticks, or a dictionary which maps the tick labels to the breaks values.
- labelslist of str or dict
A list of labels on ticks, or a dictionary which maps the breaks values to the tick labels.
- lablimint, default=None
The maximum label length (in characters) before trimming is applied.
- limitslist
A vector specifying the data range for the scale and the default order of their display in guides.
- 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, additive = 0.2.
- na_value
Missing values will be replaced with this value.
- reversebool
When True the scale is reversed.
- 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/python/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(43) 5scores = {'rating': np.random.randint(3, 6, size=10)} 6ggplot(scores, aes(x='rating')) + geom_bar() + \ 7 scale_x_discrete(name='rating', format='.1f')