breaks
and lables
arguments in scale_xxx()
function family each accepts list of values for customizing the scale breaks or labels.
However, it is often more convenient to use a dictionary of breaks (in the labels
parameter) or a dictionary of labels (in the breaks
parameter) for the breaks/labels customization.
Similar situation is with parameters breaks
and values
in the scale_xxx_manual()
function family.
import pandas as pd
from lets_plot import *
LetsPlot.setup_html()
mpg_df = pd.read_csv ("https://raw.githubusercontent.com/JetBrains/lets-plot-docs/master/data/mpg.csv")
mpg_df.head(3)
Unnamed: 0 | manufacturer | model | displ | year | cyl | trans | drv | cty | hwy | fl | class | |
---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | 1 | audi | a4 | 1.8 | 1999 | 4 | auto(l5) | f | 18 | 29 | p | compact |
1 | 2 | audi | a4 | 1.8 | 1999 | 4 | manual(m5) | f | 21 | 29 | p | compact |
2 | 3 | audi | a4 | 2.0 | 2008 | 4 | manual(m6) | f | 20 | 31 | p | compact |
p = ggplot(mpg_df, aes(x='displ', y='hwy', color='drv')) + geom_point()
p
p = p + scale_color_discrete(labels={
'f': 'front',
'r': 'rear',
'4': '4WD'
})
p
breaks
and labels
¶p = p + scale_x_continuous(breaks={
'min': 1.6,
'3.4': 3.4,
'5.2': 5.2,
'max': 7
})
p
p + scale_color_manual(values={
'f': 'dark_blue',
'r': 'dark_green',
'4': 'dark_magenta'
})