lets_plot.scale_y_datetime¶
- lets_plot.scale_y_datetime(name=None, *, breaks=None, labels=None, limits=None, expand=None, na_value=None, format=None, position=None)¶
Position scale y for date/time data.
- 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 vector specifying values to display as ticks on axis.
- labelslist of str
A vector of labels (on ticks).
- limitslist
A vector of length two providing limits of the scale.
- expandlist of two numbers
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.
- formatstr
Define the format for labels on the scale. The syntax resembles Python’s: ‘%d.%m.%y’ -> ‘06.08.19’ ‘%B %Y’ -> ‘August 2019’ ‘%a, %e %b %Y %H:%M:%S’ -> ‘Tue, 6 Aug 2019 04:46:35’ 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 datetime as dt 2from lets_plot import * 3LetsPlot.setup_html() 4n = 12 5rcount = lambda m: 1 if m < 2 else rcount(m - 1) + rcount(m - 2) 6data = { 7 'date': [dt.datetime(2020, m, 1) for m in range(1, n + 1)], 8 'rabbits count': [rcount(m) for m in range(1, n + 1)], 9} 10ggplot(data) + \ 11 geom_segment(aes(x=[0] * n, y='date', xend='rabbits count', yend='date'), size=3, \ 12 tooltips=layer_tooltips().line('@|@{rabbits count}')) + \ 13 scale_y_datetime(format='%b') + \ 14 xlab('rabbits count')