lets_plot.scale_color_manual(values, name=None, breaks=None, labels=None, limits=None, na_value=None, guide=None, format=None)

Create your own discrete scale for color aesthetic.

  • values (list of str) – A set of aesthetic values to map data values to. If this is a named vector, then the values will be matched based on the names. If unnamed, values will be matched in order (usually alphabetical) with the limits of the scale.

  • name (str) – 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.

  • breaks (list) – A numeric vector of positions (of ticks).

  • labels (list of str) – A vector of labels (on ticks).

  • limits (list) – Continuous scale: a numeric vector of length two providing limits of the scale. Discrete scale: a vector specifying the data range for the scale and the default order of their display in guides.

  • na_value – Missing values will be replaced with this value.

  • guide – Guide to use for this scale. It can either be a string (‘colorbar’, ‘legend’) or a call to a guide function (guide_colorbar(), guide_legend()) specifying additional arguments. ‘none’ will hide the guide.

  • format (str) – Defines 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.


Scale specification.

Return type



Create your own color scale. Values are strings, encoding colors.


1from lets_plot import *
3x = list(range(9))
4ggplot({'x': x, 'y': x}, aes('x', 'y')) + \
5    geom_point(aes(color='x'), shape=1, size=5) + \
6    scale_color_manual(values=['red', 'green', 'blue'], \
7                       name='color', labels=['red', 'green', 'blue'])