dash-info.yaml

pkg_help_description: >-
    An interactive table component designed for editing and exploring
    large datasets, 'dashDataTable' is rendered with standard, semantic HTML
    <table/> markup, which makes it accessible, responsive, and easy
    to style. This component was written from scratch in 'React.js'
    specifically for the 'Dash' community. Its API was designed to be
    ergonomic and its behaviour is completely customizable through its 
    properties.
pkg_help_title: >-
    Core Interactive Table Component for 'Dash'
pkg_authors: >-
    c(person("Chris", "Parmer", email = "chris@plotly.com", role = c("aut")), person("Ryan Patrick", "Kyle", email = "ryan@plotly.com", role = c("cre"), comment = c(ORCID = "0000-0002-4958-2844")), person(family = "Plotly Technologies, Inc.", role = "cph")) 
pkg_copyright: >-
    Plotly Technologies, Inc.
r_examples:
    - name: dashDataTable
      dontrun: FALSE
      code: |
            # For comprehensive documentation of this package's features,
            # please consult https://dashr.plot.ly/datatable
            #
            # A package vignette is currently in development and will
            # provide many of the same examples currently available online
            # in an offline-friendly format.

            # The following if statement is not required to run this
            # example locally, but was added at the request of CRAN
            # maintainers.
            if (interactive() && require(dash)) {
              library(dash)
              library(dashTable)

              app <- Dash$new()

              # We can easily restrict the number of rows to display at
              # once by using style_table:
              app$layout(
                dashDataTable(
                  id = "table",
                  columns = lapply(colnames(iris),
                                   function(colName){
                                     list(
                                       id = colName,
                                       name = colName
                                     )
                                   }),
                  style_table = list(
                    maxHeight = "250px",
                    overflowY = "scroll"
                  ),
                  data = df_to_list(iris)
                )
              )

              app$run_server()
              
              app <- Dash$new()

              # We can also make rows and columns selectable/deletable
              # by setting a few additional attributes:
              app$layout(
                dashDataTable(
                  id = "table",
                  columns = lapply(colnames(iris),
                                   function(colName){
                                     list(
                                       id = colName,
                                       name = colName,
                                       deletable = TRUE
                                     )
                                   }),
                  style_table = list(
                    maxHeight = "250px",
                    overflowY = "scroll"
                  ),
                  data = df_to_list(iris),
                  editable = TRUE,
                  filter_action = "native",
                  sort_action = "native",
                  sort_mode = "multi",
                  column_selectable = "single",
                  row_selectable = "multi",
                  row_deletable = TRUE
                )
              )

              app$run_server()
            }