Nothing
#' Read a fixed width file into a tibble
#'
#' @details
#' *Note*: `fwf_empty()` cannot take a R connection such as a URL as input, as
#' this would result in reading from the connection twice. In these cases it is
#' better to download the file first before reading.
#' @inheritParams readr::read_fwf
#' @inheritParams vroom
#' @export
#' @examples
#' fwf_sample <- vroom_example("fwf-sample.txt")
#' writeLines(vroom_lines(fwf_sample))
#'
#' # You can specify column positions in several ways:
#' # 1. Guess based on position of empty columns
#' vroom_fwf(fwf_sample, fwf_empty(fwf_sample, col_names = c("first", "last", "state", "ssn")))
#' # 2. A vector of field widths
#' vroom_fwf(fwf_sample, fwf_widths(c(20, 10, 12), c("name", "state", "ssn")))
#' # 3. Paired vectors of start and end positions
#' vroom_fwf(fwf_sample, fwf_positions(c(1, 30), c(20, 42), c("name", "ssn")))
#' # 4. Named arguments with start and end positions
#' vroom_fwf(fwf_sample, fwf_cols(name = c(1, 20), ssn = c(30, 42)))
#' # 5. Named arguments with column widths
#' vroom_fwf(fwf_sample, fwf_cols(name = 20, state = 10, ssn = 12))
vroom_fwf <- function(file,
col_positions = fwf_empty(file, skip, n = guess_max),
col_types = NULL,
col_select = NULL, id = NULL,
locale = default_locale(), na = c("", "NA"),
comment = "",
skip_empty_rows = TRUE,
trim_ws = TRUE, skip = 0, n_max = Inf,
guess_max = 100,
altrep = TRUE,
altrep_opts = deprecated(),
num_threads = vroom_threads(),
progress = vroom_progress(),
show_col_types = NULL,
.name_repair = "unique") {
verify_fwf_positions(col_positions)
if (!is_missing(altrep_opts)) {
deprecate_warn("1.1.0", "vroom_fwf(altrep_opts = )", "vroom_fwf(altrep = )")
altrep <- altrep_opts
}
file <- standardise_path(file)
if (!is_ascii_compatible(locale$encoding)) {
file <- reencode_file(file, locale$encoding)
locale$encoding <- "UTF-8"
}
if (length(file) == 0 || (n_max == 0 & identical(col_positions$col_names, FALSE))) {
out <- tibble::tibble()
class(out) <- c("spec_tbl_df", class(out))
return(out)
}
if (n_max < 0 || is.infinite(n_max)) {
n_max <- -1
}
if (guess_max < 0 || is.infinite(guess_max)) {
guess_max <- -1
}
col_select <- vroom_enquo(enquo(col_select))
has_col_types <- !is.null(col_types)
col_types <- as.col_spec(col_types)
out <- vroom_fwf_(file, as.integer(col_positions$begin), as.integer(col_positions$end),
trim_ws = trim_ws, col_names = col_positions$col_names,
col_types = col_types, col_select = col_select,
name_repair = .name_repair,
id = id, na = na, guess_max = guess_max, skip = skip, comment = comment,
skip_empty_rows = skip_empty_rows,
n_max = n_max, num_threads = num_threads,
altrep = vroom_altrep(altrep), locale = locale,
progress = progress)
out <- tibble::as_tibble(out, .name_repair = .name_repair)
out <- vroom_select(out, col_select, id)
class(out) <- c("spec_tbl_df", class(out))
if (should_show_col_types(has_col_types, show_col_types)) {
show_col_types(out, locale)
}
out
}
#' @rdname vroom_fwf
#' @inheritParams readr::read_fwf
#' @export
#' @param n Number of lines the tokenizer will read to determine file structure. By default
#' it is set to 100.
fwf_empty <- function(file, skip = 0, col_names = NULL, comment = "", n = 100L) {
file <- standardise_one_path(standardise_path(file)[[1]])
if (inherits(file, "connection")) {
stop("`file` must be a regular file, not a connection", call. = FALSE)
}
if (n < 0 || is.infinite(n)) {
n <- -1
}
out <- whitespace_columns_(file[[1]], skip, comment = comment, n = n)
out$end[length(out$end)] <- NA
col_names <- fwf_col_names(col_names, length(out$begin))
out$col_names <- col_names
out
}
#' @rdname vroom_fwf
#' @export
#' @param widths Width of each field. Use NA as width of last field when
#' reading a ragged fwf file.
#' @param col_names Either NULL, or a character vector column names.
fwf_widths <- function(widths, col_names = NULL) {
pos <- cumsum(c(1L, abs(widths)))
fwf_positions(pos[-length(pos)], pos[-1] - 1L, col_names)
}
#' @rdname vroom_fwf
#' @export
#' @param start,end Starting and ending (inclusive) positions of each field.
#' Use NA as last end field when reading a ragged fwf file.
fwf_positions <- function(start, end = NULL, col_names = NULL) {
stopifnot(length(start) == length(end))
col_names <- fwf_col_names(col_names, length(start))
tibble::tibble(
begin = start - 1L,
end = end, # -1 to change to 0 offset, +1 to be exclusive,
col_names = as.character(col_names)
)
}
#' @rdname vroom_fwf
#' @export
#' @param ... If the first element is a data frame,
#' then it must have all numeric columns and either one or two rows.
#' The column names are the variable names. The column values are the
#' variable widths if a length one vector, and if length two, variable start and end
#' positions. The elements of `...` are used to construct a data frame
#' with or or two rows as above.
fwf_cols <- function(...) {
x <- lapply(list(...), as.integer)
names(x) <- fwf_col_names(names(x), length(x))
x <- tibble::as_tibble(x)
if (nrow(x) == 2) {
fwf_positions(as.integer(x[1, ]), as.integer(x[2, ]), names(x))
} else if (nrow(x) == 1) {
fwf_widths(as.integer(x[1, ]), names(x))
} else {
stop("All variables must have either one (width) two (start, end) values.",
call. = FALSE)
}
}
fwf_col_names <- function(nm, n) {
nm <- nm %||% rep("", n)
nm_empty <- (nm == "")
nm[nm_empty] <- paste0("X", seq_len(n))[nm_empty]
nm
}
verify_fwf_positions <- function(col_positions) {
is_greater <- stats::na.omit(col_positions$begin > col_positions$end)
if (any(is_greater)) {
bad <- which(is_greater)
stop("`col_positions` must have begin less than end.\n* Invalid values at position(s): ", paste0(collapse = ", ", bad), call. = FALSE)
}
}
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.