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Localize formatting and symbols

Source: R/topics.R
locale.Rd

Localize formatting and symbols

Specify locale

gt(), some cols_*() and fmt_*() functions have a locale argument. You can pass locale as a 2 letters string or 4. (e.g. "fr" for French, "pt-BR" for Brazilian Portuguese). gt also resolves different spellings internally as much as possible. For example "en_GB" will work out of the box.

Range of action of locale

One of the advantage of using gt its consistency in using symbols and currencies in multiple languages

There are two ways to localize your results with gt.

  • Passing it globally gt(locale = "<locale>")

Will localize everything possible in the gt() pipeline.

Will only affect the output of one specific function (or override global setting).

locale has very low precedence usually. As soon as you override some parameters, sep_mark, dec_mark, incl_space, they will be override locale.

See also

info_locales(), info_flags()

Examples

# The Spanish locale uses `.` as thousands sep (English uses ,), and
# uses , as the decimal mark

# Using the locale in gt() will format automatically all output in subsequent
# fmt_*() calls.
exibble %>%
  gt(locale = "es-AR") %>%
  fmt_number()



  
num
      char
      fctr
      date
      time
      datetime
      currency
      row
      group
    
0,11
apricot
one
2015-01-15
13:35
2018-01-01 02:22
49,95
row_1
grp_a
2,22
banana
two
2015-02-15
14:40
2018-02-02 14:33
17,95
row_2
grp_a
33,33
coconut
three
2015-03-15
15:45
2018-03-03 03:44
1,39
row_3
grp_a
444,40
durian
four
2015-04-15
16:50
2018-04-04 15:55
65.100,00
row_4
grp_a
5.550,00
NA
five
2015-05-15
17:55
2018-05-05 04:00
1.325,81
row_5
grp_b
NA
fig
six
2015-06-15
NA
2018-06-06 16:11
13,26
row_6
grp_b
777.000,00
grapefruit
seven
NA
19:10
2018-07-07 05:22
NA
row_7
grp_b
8.880.000,00
honeydew
eight
2015-08-15
20:20
NA
0,44
row_8
grp_b

# Only format currency as mexican peso

exibble %>%
  gt(locale = "fr") %>%
  fmt_currency(currency, locale = "es-MX")



  
num
      char
      fctr
      date
      time
      datetime
      currency
      row
      group
    
1.111e-01
apricot
one
2015-01-15
13:35
2018-01-01 02:22
Mex$49.95
row_1
grp_a
2.222e+00
banana
two
2015-02-15
14:40
2018-02-02 14:33
Mex$17.95
row_2
grp_a
3.333e+01
coconut
three
2015-03-15
15:45
2018-03-03 03:44
Mex$1.39
row_3
grp_a
4.444e+02
durian
four
2015-04-15
16:50
2018-04-04 15:55
Mex$65,100.00
row_4
grp_a
5.550e+03
NA
five
2015-05-15
17:55
2018-05-05 04:00
Mex$1,325.81
row_5
grp_b
NA
fig
six
2015-06-15
NA
2018-06-06 16:11
Mex$13.26
row_6
grp_b
7.770e+05
grapefruit
seven
NA
19:10
2018-07-07 05:22
NA
row_7
grp_b
8.880e+06
honeydew
eight
2015-08-15
20:20
NA
Mex$0.44
row_8
grp_b

# will use sep_mark provided
exibble %>%
  gt(locale = "fr") %>%
  fmt_currency(currency, sep_mark = "", locale = "es-MX")



  
num
      char
      fctr
      date
      time
      datetime
      currency
      row
      group
    
1.111e-01
apricot
one
2015-01-15
13:35
2018-01-01 02:22
Mex$49.95
row_1
grp_a
2.222e+00
banana
two
2015-02-15
14:40
2018-02-02 14:33
Mex$17.95
row_2
grp_a
3.333e+01
coconut
three
2015-03-15
15:45
2018-03-03 03:44
Mex$1.39
row_3
grp_a
4.444e+02
durian
four
2015-04-15
16:50
2018-04-04 15:55
Mex$65,100.00
row_4
grp_a
5.550e+03
NA
five
2015-05-15
17:55
2018-05-05 04:00
Mex$1,325.81
row_5
grp_b
NA
fig
six
2015-06-15
NA
2018-06-06 16:11
Mex$13.26
row_6
grp_b
7.770e+05
grapefruit
seven
NA
19:10
2018-07-07 05:22
NA
row_7
grp_b
8.880e+06
honeydew
eight
2015-08-15
20:20
NA
Mex$0.44
row_8
grp_b
# Use your imagination, and mix and match.