An artisanally crafted set of print methods for data.frame
family
rectangles:
data.frame
- tibble (
tbl_df
) - simple features geometry collection (
sf
) data.table
- tsibble (
tbl_ts
)
Get the latest release from my r-universe:
install.packages(
"paint",
repos = c(mm = "https://milesmcbain.r-universe.dev", getOption("repos")))
Call paint()
on any compatible data.frame
. Relevant metadata is
printed for each class.
library(spData)
library(paint)
paint(nz)
#> sf [16, 7]
#> active geometry column: geom (MULTIPOLYGON)
#> crs: 2193 (NZGD2000 / New Zealand Transverse Mercator 2000)
#> crs unit: metre
#> Name chr Northland Auckland Waikato Bay of Plenty ~
#> Island chr North North North North North North
#> Land_area dbl 12500.561149 4941.572557 23900.036383 120~
#> Population dbl 175500 1657200 460100 299900 48500 164000
#> Median_income int 23400 29600 27900 26200 24400 26100
#> Sex_ratio dbl 0.942453 0.944286 0.95205 0.928039 0.9349~
#> geom sfc MPOLY 1,784B MPOLY 2,288B MPOLY 2,376B MP~
You can choose replace the print()
methods with paint()
to paint
datafames any time they are output:
paint::mask_print()
#> {paint} masked print.data.frame
#> {paint} masked print.tbl_df
#> {paint} masked print.sf
library(tibble)
library(sf)
#> Linking to GEOS 3.10.1, GDAL 3.4.0, PROJ 8.2.0; sf_use_s2() is TRUE
library(spData)
coffee_data
#> tibble [47, 3]
#> name_long chr Angola Bolivia Brazil Burundi Ca~
#> coffee_production_2016 int NA 3 3277 37 8 NA
#> coffee_production_2017 int NA 4 2786 38 6 NA
paint::mask_print()
can be placed in the .Rprofile
so paint()
is
always preferred. unmask_print()
will return the print()
methods to
their defaults for the current session.
By default a reminder message is posted when S3 methods are masked.
Disable this with options(paint_remind_mask_print = FALSE)
.
While using paint()
as your default print()
, you can call the
original print()
method with unpaint()
:
library(paint)
unpaint(nz)
#> Simple feature collection with 16 features and 6 fields
#> Geometry type: MULTIPOLYGON
#> Dimension: XY
#> Bounding box: xmin: 1090144 ymin: 4748537 xmax: 2089533 ymax: 6191874
#> Projected CRS: NZGD2000 / New Zealand Transverse Mercator 2000
#> First 10 features:
#> Name Island Land_area Population Median_income Sex_ratio
#> 1 Northland North 12500.561 175500 23400 0.9424532
#> 2 Auckland North 4941.573 1657200 29600 0.9442858
#> 3 Waikato North 23900.036 460100 27900 0.9520500
#> 4 Bay of Plenty North 12071.145 299900 26200 0.9280391
#> 5 Gisborne North 8385.827 48500 24400 0.9349734
#> 6 Hawke's Bay North 14137.524 164000 26100 0.9238375
#> 7 Taranaki North 7254.480 118000 29100 0.9569363
#> 8 Manawatu-Wanganui North 22220.608 234500 25000 0.9387734
#> 9 Wellington North 8048.553 513900 32700 0.9335524
#> 10 West Coast South 23245.456 32400 26900 1.0139072
#> geom
#> 1 MULTIPOLYGON (((1745493 600...
#> 2 MULTIPOLYGON (((1803822 590...
#> 3 MULTIPOLYGON (((1860345 585...
#> 4 MULTIPOLYGON (((2049387 583...
#> 5 MULTIPOLYGON (((2024489 567...
#> 6 MULTIPOLYGON (((2024489 567...
#> 7 MULTIPOLYGON (((1740438 571...
#> 8 MULTIPOLYGON (((1866732 566...
#> 9 MULTIPOLYGON (((1881590 548...
#> 10 MULTIPOLYGON (((1557042 531...
For convenience unpaint()
it will call print()
on .LastValue
by
default if no argument is provided.
Supported options:
paint_palette
the palette to paint row colours with, defaults torainbow_6()
, 6 standard ANSI colours that are supported in most terminals.paint_n_rows
the number of rows to print for each column. Defaults to the number of colours in thepaint_palette
, but can be set higher for repeating sequences.paint_max_width
the maximum width of the output. 60 is the default.{paint}
does not resize based on terminal width by design.paint_align_row_head = c("left", "center", "right")
. How to align the column title and type. Defaults to"left"
.paint_dark_mode
darken thepaint_palette
usingcrayon::blurred
- not supported in all terminals.paint_remind_mask_print
show a reminder message whenprint()
methods are manipulated by{paint}
? defaults toTRUE
.
There are a number of built in palettes - see ?paintpals. Creating your
own palettes is matter of creating a list of {crayon}
styles. These
can be created from hex colour codes e.g. #8DD3C7
. A bit easier than
it sounds it practice:
library(viridisLite)
library(crayon)
my_magma <- lapply(viridisLite::magma(6), crayon::make_style)
options(paint_palette = my_magma)
paint(mtcars)
#> data.frame [32, 11]
#> mpg dbl 21 21 22.8 21.4 18.7 18.1
#> cyl dbl 6 6 4 6 8 6
#> disp dbl 160 160 108 258 360 225
#> hp dbl 110 110 93 110 175 105
#> drat dbl 3.9 3.9 3.85 3.08 3.15 2.76
#> wt dbl 2.62 2.875 2.32 3.215 3.44 3.46
#> qsec dbl 16.46 17.02 18.61 19.44 17.02 20.22
#> vs dbl 0 0 1 1 0 1
#> am dbl 1 1 1 0 0 0
#> gear dbl 4 4 4 3 3 3
#> carb dbl 4 4 1 1 2 1
Colours are applied to rows in the order they appear in the palette. You
can also use more advanced {crayon}
styles, but that is beyond the
scope of this document.
{paint}
is a response to my frustrations with standard print methods
on wide rectangles with long naming schemes. It tries to be less noisy,
harnessing the eyes’ ability to see colour patterns to reduce markup
characters. Only the most important information for data wrangling is
highlighted, the pinnacle being the column names, which always appear
down the left and are never truncated.
Important issues with the data, e.g. sticky dplyr
groups, or missing
values, are highlighted to draw extra attention.
{paint}
draws inspiration from
glimpse()
,
str()
, {emphatic}
, and
the Rainbow CSV
addin for VSCode.