Print pipeflow objects
Usage
# S3 method for class 'pipeflow_pip'
print(
x,
rows = integer(),
cols = getOption("pipeflow.print.cols", default = "core"),
topn = getOption("pipeflow.print.topn", default = 5),
nrows = getOption("pipeflow.print.nrows", default = 50),
row.names = getOption("pipeflow.print.rownames", default = TRUE),
class = getOption("pipeflow.print.class", default = FALSE),
header = TRUE,
...
)
# S3 method for class 'pipeflow_view'
print(x, header = TRUE, ...)Arguments
- x
A pipeflow pipeline or view.
- rows
Row indices to be printed. If empty, all rows are printed.
- cols
The columns to be printed. Can be either one of
coreorallto print the core or all columns, respectively, or an explicit character vector of columns to be printed.- topn
The number of rows to be printed from the beginning and end of tables with more than
nrowsrows.- nrows
The number of rows printed before truncation is enforced.
- row.names
If TRUE, row indices will be printed alongside x.
- class
If TRUE, the resulting output will include above each column its storage class (or a self-evident abbreviation thereof).
- header
If TRUE, a header with the pipeline name and number of steps will be printed.
- ...
Other arguments passed to
print.data.table
Examples
p <- pip_new("demo") |>
pip_add("load", \(n = 5) seq_len(n), group = "io", tags = "raw") |>
pip_add("square", \(x = ~load) x^2, group = "compute") |>
pip_add("total", \(x = ~square) sum(x), group = "compute")
print(p) # core columns: step, group, depends, tags, out, state
#> <pipeflow_pip> demo (3 steps)
#> -----------------------------
#> step group depends out state tags
#> 1: load io [NULL] new raw
#> 2: square compute load [NULL] new
#> 3: total compute square [NULL] new
print(p, cols = "all") # all non-hidden columns
#> <pipeflow_pip> demo (3 steps)
#> -----------------------------
#> step group fun params signature depends out state
#> 1: load io <function[1]> <list[1]> (n = 5) [NULL] new
#> 2: square compute <function[1]> <list[1]> (x = ~load) load [NULL] new
#> 3: total compute <function[1]> <list[1]> (x = ~square) square [NULL] new
#> tags time locked exec
#> 1: raw 2026-06-07 17:34:11 FALSE auto
#> 2: 2026-06-07 17:34:11 FALSE auto
#> 3: 2026-06-07 17:34:11 FALSE auto
print(p, rows = 2:3) # print only steps 2 and 3
#> <pipeflow_pip> demo (3 steps)
#> -----------------------------
#> step group depends out state tags
#> 1: square compute load [NULL] new
#> 2: total compute square [NULL] new
p <- pip_new() |>
pip_add("s1", \(x = 1) x, group = "io") |>
pip_add("s2", \(x = ~s1) x + 1, group = "model")
# A view header shows how many steps are selected out of the total
v <- pip_view(p, filter = list(group = "model"))
print(v) # "<pipeflow_view> pipe view (1 of 2 steps)"
#> <pipeflow_view> pipe view (1 of 2 steps)
#> ----------------------------------------
#> step group depends out state
#> s2 model s1 [NULL] new
