The list of sheet names is especially useful when you want to iterate over all of the sheets in a workbook. The vignette("readxl-workflows") article provides several worked examples of this, showing how to combine readxl with other packages in the tidyverse, such as purrr, or with base R functions like lapply().

excel_sheets(path)

Arguments

path

Path to the xls/xlsx file.

Examples

excel_sheets(readxl_example("datasets.xlsx"))
#> [1] "iris" "mtcars" "chickwts" "quakes"
excel_sheets(readxl_example("datasets.xls"))
#> [1] "iris" "mtcars" "chickwts" "quakes"
# To load all sheets in a workbook, use lapply() path <- readxl_example("datasets.xls") lapply(excel_sheets(path), read_excel, path = path)
#> [[1]] #> # A tibble: 150 x 5 #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> <dbl> <dbl> <dbl> <dbl> <chr> #> 1 5.1 3.5 1.4 0.2 setosa #> 2 4.9 3 1.4 0.2 setosa #> 3 4.7 3.2 1.3 0.2 setosa #> 4 4.6 3.1 1.5 0.2 setosa #> 5 5 3.6 1.4 0.2 setosa #> 6 5.4 3.9 1.7 0.4 setosa #> 7 4.6 3.4 1.4 0.3 setosa #> 8 5 3.4 1.5 0.2 setosa #> 9 4.4 2.9 1.4 0.2 setosa #> 10 4.9 3.1 1.5 0.1 setosa #> # … with 140 more rows #> #> [[2]] #> # A tibble: 32 x 11 #> mpg cyl disp hp drat wt qsec vs am gear carb #> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> #> 1 21 6 160 110 3.9 2.62 16.5 0 1 4 4 #> 2 21 6 160 110 3.9 2.88 17.0 0 1 4 4 #> 3 22.8 4 108 93 3.85 2.32 18.6 1 1 4 1 #> 4 21.4 6 258 110 3.08 3.22 19.4 1 0 3 1 #> 5 18.7 8 360 175 3.15 3.44 17.0 0 0 3 2 #> 6 18.1 6 225 105 2.76 3.46 20.2 1 0 3 1 #> 7 14.3 8 360 245 3.21 3.57 15.8 0 0 3 4 #> 8 24.4 4 147. 62 3.69 3.19 20 1 0 4 2 #> 9 22.8 4 141. 95 3.92 3.15 22.9 1 0 4 2 #> 10 19.2 6 168. 123 3.92 3.44 18.3 1 0 4 4 #> # … with 22 more rows #> #> [[3]] #> # A tibble: 71 x 2 #> weight feed #> <dbl> <chr> #> 1 179 horsebean #> 2 160 horsebean #> 3 136 horsebean #> 4 227 horsebean #> 5 217 horsebean #> 6 168 horsebean #> 7 108 horsebean #> 8 124 horsebean #> 9 143 horsebean #> 10 140 horsebean #> # … with 61 more rows #> #> [[4]] #> # A tibble: 1,000 x 5 #> lat long depth mag stations #> <dbl> <dbl> <dbl> <dbl> <dbl> #> 1 -20.4 182. 562 4.8 41 #> 2 -20.6 181. 650 4.2 15 #> 3 -26 184. 42 5.4 43 #> 4 -18.0 182. 626 4.1 19 #> 5 -20.4 182. 649 4 11 #> 6 -19.7 184. 195 4 12 #> 7 -11.7 166. 82 4.8 43 #> 8 -28.1 182. 194 4.4 15 #> 9 -28.7 182. 211 4.7 35 #> 10 -17.5 180. 622 4.3 19 #> # … with 990 more rows #>