Basic read and write functions
Welcome to the openxlsx2
update vignette. In this
vignette we will take some common code examples from
openxlsx
and show you how similar results can be replicated
in openxlsx2
. Thank you for taking a look, and let’s get
started. While previous openxlsx
functions used the
.
in function calls, as well as camelCase, we have tried to
switch to snake_case (this is still a work in progress, there may still
be function arguments that use camelCase).
Read xlsx or xlsm files
The basic read function changed from read.xlsx
to
read_xlsx
. Using a default xlsx file included in the
package:
file <- system.file("extdata", "openxlsx2_example.xlsx", package = "openxlsx2")
The old syntax looked like this:
# read in openxlsx
openxlsx::read.xlsx(xlsxFile = file)
This has changed to this:
# read in openxlsx2
openxlsx2::read_xlsx(file = file)
## Var1 Var2 NA Var3 Var4 Var5 Var6 Var7 Var8
## 3 TRUE 1 NA 1 a 2023-05-29 3209324 This #DIV/0! 01:27:15
## 4 TRUE NA NA #NUM! b 2023-05-23 <NA> 0 14:02:57
## 5 TRUE 2 NA 1.34 c 2023-02-01 <NA> #VALUE! 23:01:02
## 6 FALSE 2 NA <NA> #NUM! <NA> <NA> 2 17:24:53
## 7 FALSE 3 NA 1.56 e <NA> <NA> <NA> <NA>
## 8 FALSE 1 NA 1.7 f 2023-03-02 <NA> 2.7 08:45:58
## 9 NA NA NA <NA> <NA> <NA> <NA> <NA> <NA>
## 10 FALSE 2 NA 23 h 2023-12-24 <NA> 25 <NA>
## 11 FALSE 3 NA 67.3 i 2023-12-25 <NA> 3 <NA>
## 12 NA 1 NA 123 <NA> 2023-07-31 <NA> 122 <NA>
As you can see, we return the spreadsheet return codes (e.g.,
#NUM
) in openxlsx2. Another thing to see above, we return
the cell row as rowname for the data frame returned.
openxlsx2
should return a data frame of the selected size,
even if it empty. If you preferred openxlsx::readWorkbook()
this has become wb_read()
. All of these are wrappers for
the newly introduced function wb_to_df()
which provides the
most options. read_xlsx()
and wb_read()
were
created for backward comparability.
Write xlsx files
Basic writing in openxlsx2
behaves identical to
openxlsx
. Though be aware that overwrite
is an
optional parameter in openxlsx2
and just like in other
functions like base::write.csv()
if you write onto an
existing file name, this file will be replaced.
Setting the output to some temporary xlsx file
output <- temp_xlsx()
The previous write function looks like this:
# write in openxlsx
openxlsx::write.xlsx(iris, file = output, colNames = TRUE)
The new function looks quite similar:
# write in openxlsx2
openxlsx2::write_xlsx(iris, file = output, col_names = TRUE)
Basic workbook functions
Workbook functions have been renamed to begin with wb_
there are plenty of these in the package, therefore looking at the man
pages seems to be the fastest way. Yet, it all begins with loading the
workbook.
Loading a workbook
A major feature in openxlsx
are workbooks. Obviously
they remain a central piece in openxlsx2
. Previous you
would load them with:
wb <- openxlsx::loadWorkbook(file = file)
In openxlsx2
loading was changed to:
wb <- wb_load(file = file)
There are plenty of functions to interact with workbooks and we will not describe every single one here. A detailed list can be found over at our references
Styles
One of the biggest user facing change was the removal of the
stylesObject
. In the following section we use code from openxlsx::addStyle()
# openxlsx
## Create a new workbook
wb <- createWorkbook(creator = "My name here")
addWorksheet(wb, "Expenditure", gridLines = FALSE)
writeData(wb, sheet = 1, USPersonalExpenditure, rowNames = TRUE)
## style for body
bodyStyle <- createStyle(border = "TopBottom", borderColor = "#4F81BD")
addStyle(wb, sheet = 1, bodyStyle, rows = 2:6, cols = 1:6, gridExpand = TRUE)
## set column width for row names column
setColWidths(wb, 1, cols = 1, widths = 21)
In openxlsx2
the same code looks something like
this:
# openxlsx2 chained
border_color <- wb_color(hex = "4F81BD")
wb <- wb_workbook(creator = "My name here")$
add_worksheet("Expenditure", grid_lines = FALSE)$
add_data(x = USPersonalExpenditure, row_names = TRUE)$
add_border( # add the outer and inner border
dims = "A1:F6",
top_border = "thin", top_color = border_color,
bottom_border = "thin", bottom_color = border_color,
inner_hgrid = "thin", inner_hcolor = border_color,
left_border = "", right_border = ""
)$
set_col_widths( # set column width
cols = 1:6,
widths = c(20, rep(10, 5))
)$ # remove the value in A1
add_data(dims = "A1", x = "")
The code above uses chaining. If you prefer piping, we provide the
chained functions with the prefix wb_
so
wb_add_worksheet()
, wb_add_data()
,
wb_add_border()
and wb_set_col_widths()
would
be the functions to use with pipes %>%
or
|>
.
With pipes the code from above becomes
# openxlsx2 with pipes
border_color <- wb_color(hex = "4F81BD")
wb <- wb_workbook(creator = "My name here") %>%
wb_add_worksheet(sheet = "Expenditure", grid_lines = FALSE) %>%
wb_add_data(x = USPersonalExpenditure, row_names = TRUE) %>%
wb_add_border( # add the outer and inner border
dims = "A1:F6",
top_border = "thin", top_color = border_color,
bottom_border = "thin", bottom_color = border_color,
inner_hgrid = "thin", inner_hcolor = border_color,
left_border = "", right_border = ""
) %>%
wb_set_col_widths( # set column width
cols = 1:6,
widths = c(20, rep(10, 5))
) %>% # remove the value in A1
wb_add_data(dims = "A1", x = "")
Be aware that chains modify an object in place and pipes do not.
# openxlsx2
wbp <- wb_workbook() %>% wb_add_worksheet()
wbc <- wb_workbook()$add_worksheet()
# need to assign wbp
wbp <- wbp %>% wb_add_data(x = iris)
wbc$add_data(x = iris)
You can re-use styles with wb_get_cell_style()
and
wb_set_cell_style()
. Abandoning stylesObject
in openxlsx2
has the huge benefit that we can import and
export a spreadsheet without changing any cell style. It is still
possible to modify a cell style with wb_add_border()
,
wb_add_fill()
, wb_add_font()
and
wb_add_numfmt()
.
Additional examples regarding styles can be found in the styles vignette.
Conditional formatting
See vignette("conditional-formatting")
for extended
examples on formatting.
Here is a minimal example:
# openxlsx2 with chains
wb <- wb_workbook()$
add_worksheet("a")$
add_data(x = 1:4, col_names = FALSE)$
add_conditional_formatting(dims = "A1:A4", rule = ">2")
# openxlsx2 with pipes
wb <- wb_workbook() %>%
wb_add_worksheet("a") %>%
wb_add_data(x = 1:4, col_names = FALSE) %>%
wb_add_conditional_formatting(dims = "A1:A4", rule = ">2")
Data validation
Similarly, data validation has been updated and improved. This
openxlsx
code for data validation
# openxlsx
wb <- createWorkbook()
addWorksheet(wb, "Sheet 1")
writeDataTable(wb, 1, x = iris[1:30, ])
dataValidation(wb, 1,
col = 1:3, rows = 2:31, type = "whole",
operator = "between", value = c(1, 9)
)
looks in openxlsx2
something like this:
# openxlsx2 with chains
wb <- wb_workbook()$
add_worksheet("Sheet 1")$
add_data_table(1, x = iris[1:30, ])$
add_data_validation(1,
dims = wb_dims(rows = 2:31, cols = 1:3),
# alternatively, dims can also be "A2:C31" if you know the span in your Excel workbook.
type = "whole",
operator = "between",
value = c(1, 9)
)
# openxlsx2 with pipes
wb <- wb_workbook() %>%
wb_add_worksheet("Sheet 1") %>%
wb_add_data_table(1, x = iris[1:30, ]) %>%
wb_add_data_validation(
sheet = 1,
dims = "A2:C31", # alternatively, dims = wb_dims(rows = 2:31, cols = 1:3)
type = "whole",
operator = "between",
value = c(1, 9)
)
Why openxlsx2
?
Originally, openxlsx2
was started as a private branch of
openxlsx
to include the pugixml library and provide a fully
functional XML parser for openxlsx
. At that time, it became
clear that the home-written openxlsx
XML parser was limited
in its ability to reliably parse XML files, leading to some problems
with broken and unreadable xlsx files. Once the inclusion of pugixml was
addressed, a new internal structure was created, and this structure
required changes to most of the old openxlsx
functions.
This was accompanied by the change from methods
to
R6
and the possibility of chaining and piping
functions.
Working with the styles object of openxlsx
it became
clear that while it is a great idea, it does not work well enough for
our needs and that files loaded and modified by openxlsx
never look the same. There are always things that look a little off
because the style objects do not work perfectly. Likewise, there are a
lot of edge cases in openxlsx
that assume a file structure
in xlsx objects that is a simplified approximation of what is actually
going on. For example, openxlsx
assumes that each sheet is
accompanied by a drawing. While this works in many cases, it does not
match the definition of the format in the openxml standard. There may be
worksheets with multiple drawings, and there should be no drawing folder
if no drawings are included. Unfortunately, many of these things are
deeply embedded in the openxlsx
code, and the more
development that took place in openxlsx2
, the more things
differed between the fork from its origin. At some point the fork was
called an independent project and the previously privately developed
branch was made public.
You could say that this went hand in hand with the modification of the actual project goal. Before, it was about creating a similar looking xlsx file and being able to partially edit it. Now it was about writing an identical xlsx file and just being able to change everything.
Since then most of the internal functions of openxlsx
have been cleaned up, fixed and mostly rewritten. The package has
developed new ways to handle styles with the styles manager, it provides
a full range of style options that would be hard or impossible to
include in openxlsx
. We have included support for native
graphs with mschart
and feature the creation of pivot
tables. We support more conditional formatting options, we have improved
the support for data validation, we have sparklines and form control
objects. In addition many of the quirks of the old package have been
ironed out. We have switched to a consistent and stable API build on
dims
and we provide multiple vignettes to document our code
and plenty of functions to interact with the openxml
format. We provide basic xlsb
support and with msoc
we have
created a package encrypt and decrypt openxml
files.
Invitation to contribute
We have put a lot of work into openxls2
to make it
useful for our needs, improving what we found useful about
openxlsx
and removing what we didn’t need. We do not claim
to be omniscient about all the things you can do with spreadsheet
software, nor do we claim to be omniscient about all the things you can
do in openxlsx2
. The package is still under active
development, though we have reached a semi stable API that will not
change until the next major release.
We are quite fond of our little package and invite others to try it
out and comment on what they like and of course what they think we are
missing or if something doesn’t work. openxlsx2
is a
complex piece of software that certainly does not work bug-free, even if
we did our best. If you want to contribute to the development of
openxlsx2
, please be our guest on our Github. Join or open
a discussion, post or fix issues or write us a mail.