fmt_image | R Documentation |
To more easily insert graphics into body cells, we can use fmt_image()
.
This allows for one or more images to be placed in the targeted cells.
The cells need to contain some reference to an image file, either: (1)
complete http/https or local paths to the files; (2) the file names, where a
common path can be provided via path
; or (3) a fragment of the file name,
where the file_pattern
helps to compose the entire file name and path
provides the path information. This should be expressly used on columns that
contain only references to image files (i.e., no image references as part
of a larger block of text). Multiple images can be included per cell by
separating image references by commas. The sep
argument allows for a common
separator to be applied between images.
fmt_image(
data,
columns = everything(),
rows = everything(),
height = NULL,
width = NULL,
sep = " ",
path = NULL,
file_pattern = "{x}",
encode = TRUE
)
data |
The gt table data object
This is the gt table object that is commonly created through use of the
|
columns |
Columns to target
Can either be a series of column names provided in |
rows |
Rows to target
In conjunction with |
height , width |
Height and width of images
The absolute height of the image in the table cell. If you set the |
sep |
Separator between images
In the output of images within a body cell, |
path |
Path to image files
An optional path to local image files (this is combined with all filenames). |
file_pattern |
File pattern specification
The pattern to use for mapping input values in the body cells to the names
of the graphics files. The string supplied should use |
encode |
Use Base64 encoding
The option to always use Base64 encoding for image paths that are
determined to be local. By default, this is |
An object of class gt_tbl
.
from_column()
helper functionfrom_column()
can be used with certain arguments of fmt_image()
to obtain
varying parameter values from a specified column within the table. This means
that each row could be formatted a little bit differently. These arguments
provide support for from_column()
:
height
width
sep
path
file_pattern
encode
Please note that for each of the aforementioned arguments, a from_column()
call needs to reference a column that has data of the correct type (this is
different for each argument). Additional columns for parameter values can be
generated with cols_add()
(if not already present). Columns that contain
parameter data can also be hidden from final display with cols_hide()
.
Finally, there is no limitation to how many arguments the from_column()
helper is applied so long as the arguments belong to this closed set.
Using a small portion of metro
dataset, let's create a gt table. We
will only include a few columns and rows from that table. The lines
and
connect_rer
columns have comma-separated listings of numbers/letters
(corresponding to lines served at each station). We have a directory of SVG
graphics for all of these lines within the package (the path for the
directory containing the images can be accessed via
system.file("metro_svg", package = "gt")
), and the filenames roughly
correspond to the data in those two columns. fmt_image()
can be used with
these inputs since the path
and file_pattern
arguments allow us to
compose complete and valid file locations. What you get from all of this are
sequences of images in the table cells, taken from the referenced graphics
files on disk.
metro |> dplyr::select(name, caption, lines, connect_rer) |> dplyr::slice_head(n = 10) |> gt() |> cols_merge( columns = c(name, caption), pattern = "{1}<< ({2})>>" ) |> text_replace( locations = cells_body(columns = name), pattern = "\\((.*?)\\)", replacement = "<br>(<em>\\1</em>)" ) |> sub_missing(columns = connect_rer, missing_text = "") |> fmt_image( columns = lines, path = system.file("metro_svg", package = "gt"), file_pattern = "metro_{x}.svg" ) |> fmt_image( columns = connect_rer, path = system.file("metro_svg", package = "gt"), file_pattern = "rer_{x}.svg" ) |> cols_label( name = "Station", lines = "Lines", connect_rer = "RER" ) |> cols_align(align = "left") |> tab_style( style = cell_borders( sides = c("left", "right"), weight = px(1), color = "gray85" ), locations = cells_body(columns = lines) ) |> opt_stylize(style = 6, color = "blue") |> opt_all_caps() |> opt_horizontal_padding(scale = 1.75)
3-23
v0.9.0
(Mar 31, 2023)
Other data formatting functions:
data_color()
,
fmt()
,
fmt_auto()
,
fmt_bins()
,
fmt_bytes()
,
fmt_chem()
,
fmt_country()
,
fmt_currency()
,
fmt_date()
,
fmt_datetime()
,
fmt_duration()
,
fmt_email()
,
fmt_engineering()
,
fmt_flag()
,
fmt_fraction()
,
fmt_icon()
,
fmt_index()
,
fmt_integer()
,
fmt_markdown()
,
fmt_number()
,
fmt_partsper()
,
fmt_passthrough()
,
fmt_percent()
,
fmt_roman()
,
fmt_scientific()
,
fmt_spelled_num()
,
fmt_tf()
,
fmt_time()
,
fmt_units()
,
fmt_url()
,
sub_large_vals()
,
sub_missing()
,
sub_small_vals()
,
sub_values()
,
sub_zero()
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