scale_x_time#

scale_x_time(name=None, *, breaks=None, labels=None, lablim=None, limits=None, expand=None, na_value=None, position=None)#

Position scale x for data representing “time delta” values expressed in milliseconds.

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 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.

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
 2import numpy as np
 3from lets_plot import *
 4LetsPlot.setup_html()
 5n = 31
 6np.random.seed(42)
 7data = {
 8    'time': [dt.timedelta(days=v).total_seconds() * 1000 for v in range(n)],
 9    'value': np.random.normal(loc=-5, scale=6, size=n)
10}
11ggplot(data) + \
12    geom_line(aes('time', 'value')) + \
13    scale_x_time()
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