lets_plot.scale_fill_identity

lets_plot.scale_fill_identity(name=None, breaks=None, labels=None, limits=None, na_value=None, guide='none', format=None)

Use this scale when your data has already been scaled. I.e. it already represents aesthetic values that ggplot2 can handle directly. This will not produce a legend unless you also supply the breaks and labels.

Parameters

namestr

The name of the scale - used as the axis label or the legend title.

breakslist of float

A vector specifying values to display as ticks on axis.

labelslist of str

A vector of labels (on ticks).

limitslist

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.

guide, default=’none’

Guide to use for this scale. Defaults to ‘none’.

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.

Returns

FeatureSpec

Scale specification.

Notes

Input data expected: list of strings containing:

• names of colors (e.g. ‘green’),

• hex codes of colors (e.g. ‘x00ff00’),

• css colors (e.g. ‘rgb(0, 255, 0)’).

Examples

import numpy as np
from lets_plot import *
LetsPlot.setup_html()
np.random.seed(42)
colors = {'red': '#e41a1c', 'green': '#4daf4a', 'blue': '#377eb8'}
c = np.random.choice(list(colors.values()), size=20)
ggplot({'c': c}, aes(x='c')) + geom_bar(aes(fill='c')) + \
    scale_fill_identity(guide=guide_legend(), name='color', \
                        breaks=list(colors.values()), \
                        labels=list(colors.keys()))