cpp11
like 2.2.0minty
instead of readr
to reduce the
number of dependenciescpp11
to
avoid the “non-API calls”trim_ws
for colnames
behaves
the same as readxl::read_xlsx()
.read_ods()
and
list_ods_sheets()
can also be used to process flat ods
files. read_fods()
and list_fods_sheets()
are
still available, but not as the so-called “common interface.”read_ods()
and read_fods()
have
two arguments - trim_ws
and n_max
which are
the same as the arguments of readxl::read_excel()
.cpp11
versionappend
and
update
of write_ods
in C++Significant speed improvement; also xml2
is no longer a
dependency.
col_names
/ row_names
Prior the previous stable release, <= 1.9.0, reading single-row /
single-column with col_names = TRUE
/
row_names = TRUE
produced errors.
In v1.9.0 (and the stable version v2.0.0 on CRAN), reading single-row
/ single-column (F)ODS with col_names = TRUE
/
row_names = TRUE
will override the two parameters and
return a non-empty data frame. This behaviour is consistent with other
data reading R functions (see #146) such as
readxl::read_xlsx()
, readr::read_csv()
,
data.table::fread()
, and
openxlsx::read.xlsx()
. For these functions, either a empty
or zero-row data.frame is returned.
We changed this behaviour. The following will return a zero-row data.frame by default.
read_ods(write_ods(mtcars[0,])) ## col_names is TRUE by default
However, the previous behaviour is in the stable release and backward
compatibility is needed. If you need that previous behaviour, please set
the options("readODS.v200" = TRUE)
options("readODS.v200" = TRUE)
read_ods(write_ods(mtcars[0,])) ## col_names is TRUE by default
write_ods
and write_fods
allow list of data framesFix #56; and it is now the same as
writexl::write_xlsx()
.
write_ods(list("some_car_data" = mtcars, "some_flower_data" = iris))
list_fods_sheets()
and
read_fods()
cannot accept ~
as pathlist_fods_sheets()
can’t guard non-fods XML
disguised as fodsods_sheets
See discussion #133
col_types
can be character (“shorthand”) or listfix #135 and the review by Dr Ruedni
# Specifying col_types as shorthand, the third column as factor; other by guessing
read_ods("starwars.ods", col_types = "??f")
# Specifying col_types as list
read_ods("starwars.ods", col_types = list(species = "f"))
write_fods
is available, fix #103
write_ods
write_ods
has been partially rewritten in C++ #140
To ensure UTF-8 everywhere, fix #107
Bump requirement to R>=3.6
dttm
column was incorrectly written with one more
column. It’s now fixed.
write_ods(na_as_string)
behaviourThe default for na_as_string
was
getOption("write_ods_na", default = FALSE)
in v1.8. The
default now is FALSE
, but it writes NA as blank cell
(instead of the buggy behaviour of writing NA in the original type,
which is rendered as 0 by LibreOffice for numeric types. see #79). This
behaviour is compatible with the default of
writexl::write_xlsx
.
The behaviour of na_as_string = TRUE
is the same as in
v1.8: writes NA as string.
get_num_sheets_in_{f}ods()
The descendant of getNrOfSheetsInODS()
is not very
useful. If you really need to have the similar function:
length(list_ods_sheets("starwars.ods"))
write_ods()
overwrite
: always TRUEverbose
: always FALSEwrite_ods()
as_tibble
and .name_repair
as
arguments. If as_tibble
is true, outputs as a tibble using
tibble::as_tibble()
passing on .name_repair
(default being "unique"
). By default
as_tibble
is set to TRUE.check_names
argument. All name repairs are now
dealt with using vctrs::vec_as_names()
. This will
significantly change the default names given to
outputs. (Names in the style of check_names = TRUE
can be
obtained by setting .name_repair = minimal
, although this
is not advised)ods_sheets
to v3There are many reverse dependencies using
ods_sheets
.
NEWS.md
file to track changes to the
package.These have been deprecated for several years.
include_external_data
as an argument
(FALSE
by default). This hides stored data from external
sources not normally accessible to the user.range
argument,
e.g. Range = "Sheet2!A2:B7"
. If this and the
sheets
argument are given, this is preferred.NA
.as_tibble
and .name_repair
as
arguments. If as_tibble
is true, outputs as a tibble using
tibble::as_tibble()
passing on .name_repair
(default being "check_unique"
).read_fods()
, list_fods_sheets()
,
get_num_sheets_in_fods()
. These work the same way as their
analogue ODS functions. The extension does not need to be
fods
, however they do need to conform to the OO
specification.