spread_sheet: Spread a data frame of cells into spreadsheet shape
Description
Reshapes a data frame of cells (presumably the output of sheets_cells())
into another data frame, i.e., puts it back into the shape of the source
spreadsheet. This function exists primarily for internal use and for testing.
The flagship function read_sheet() is what most users are looking for. It
is basically sheets_cells() + spread_sheet().
A data frame with one row per (nonempty) cell, integer variables
row and column (probably referring to location within the spreadsheet),
and a list-column cell of SHEET_CELL objects.
col_names
TRUE to use the first row as column names, FALSE to get
default names, or a character vector to provide column names directly. If
user provides col_types, col_names can have one entry per column or one
entry per unskipped column.
col_types
Column types. Either NULL to guess all from the
spreadsheet or a string of readr-style shortcodes, with one character or
code per column. If exactly one col_type is specified, it is recycled.
See Details for more.
na
Character vector of strings to interpret as missing values. By
default, blank cells are treated as missing data.
trim_ws
Logical. Should leading and trailing whitespace be trimmed
from cell contents?
guess_max
Maximum number of data rows to use for guessing column
types.
.name_repair
Handling of column names. By default, googlesheets4
ensures column names are not empty and are unique. There is full support
for .name_repair as documented in tibble::tibble().
Value
A tibble in the shape of the original spreadsheet, but enforcing
user's wishes regarding column names, column types, NA strings, and
whitespace trimming.
# NOT RUN {if (sheets_has_token()) {
df <- sheets_cells(sheets_example("mini-gap"))
spread_sheet(df)
# ^^ gets same result as ... read_sheet(sheets_example("mini-gap"))
}
# }