Format values as dates

Format input date values that are either of the Date type, or, are character-based and expressed according to the ISO 8601 date format (YYYY-MM-DD). Once the appropriate data cells are targeted with columns (and, optionally, rows), we can simply apply a preset date style to format the dates. The following date styles are available for simpler formatting of ISO dates (all using the input date of 2000-02-29 in the example output dates):

1. iso: 2000-02-29

2. wday_month_day_year: Tuesday, February 29, 2000

3. wd_m_day_year: Tue, Feb 29, 2000

4. wday_day_month_year: Tuesday 29 February 2000

5. month_day_year: February 29, 2000

6. m_day_year: Feb 29, 2000

7. day_m_year: 29 Feb 2000

8. day_month_year: 29 February 2000

9. day_month: 29 February

10. year: 2000

11. month: February

12. day: 29

13. year.mn.day: 2000/02/29

14. y.mn.day: 0/02/29

We can use the info_date_style() function for a useful reference on all of the possible inputs to date_style.

fmt_date(data, columns, rows = NULL, date_style = 2)

Arguments

data	A table object that is created using the gt() function.
columns	The columns to format. Can either be a series of column names provided in vars(), a vector of column indices, or a helper function focused on selections. The select helper functions are: starts_with(), ends_with(), contains(), matches(), one_of(), and everything().
rows	Optional rows to format. Not providing any value results in all rows in columns being formatted. Can either be a vector of row captions provided c(), a vector of row indices, or a helper function focused on selections. The select helper functions are: starts_with(), ends_with(), contains(), matches(), one_of(), and everything(). We can also use expressions to filter down to the rows we need (e.g., [colname_1] > 100 & [colname_2] < 50).
date_style	The date style to use. Supply a number (from 1 to 14) that corresponds to the preferred date style. Use info_date_style() to see the different numbered and named date presets.

Value

An object of class gt_tbl.

Details

Targeting of values is done through columns and additionally by rows (if nothing is provided for rows then entire columns are selected). A number of helper functions exist to make targeting more effective. Conditional formatting is possible by providing a conditional expression to the rows argument. See the Arguments section for more information on this.

Figures

Function ID

3-5

See also

Other Format Data: data_color(), fmt_currency(), fmt_datetime(), fmt_markdown(), fmt_missing(), fmt_number(), fmt_passthrough(), fmt_percent(), fmt_scientific(), fmt_time(), fmt(), text_transform()

Examples

# Use `exibble` to create a gt table;
# keep only the `date` and `time` columns;
# format the `date` column to have
# dates formatted as `month_day_year`
# (date style `5`)
tab_1 <-
  exibble %>%
  dplyr::select(date, time) %>%
  gt() %>%
  fmt_date(
    columns = vars(date),
    date_style = 5
  )

# Use `exibble` to create a gt table;
# keep only the `date` and `time` columns;
# format the `date` column to have mixed
# date formats (dates after April will
# be different than the others)
tab_2 <-
  exibble %>%
  dplyr::select(date, time) %>%
  gt() %>%
  fmt_date(
    columns = vars(date),
    rows =
      as.Date(date) > as.Date("2015-04-01"),
    date_style = 6
  ) %>%
  fmt_date(
    columns = vars(date),
    rows =
      as.Date(date) <= as.Date("2015-04-01"),
    date_style = 7
  )