# as.data.frame.cubeConvert a data cube to a data.frame```{r include=FALSE}library(gdalcubes)```## DescriptionConvert a data cube to a data.frame## Usage```ras.data.frame.cube(x, ..., complete_only =FALSE)```## Arguments| Argument | Description ||:------------|:----------------------------------|| x | data cube object || ... | not used || complete_only | logical; if TRUE, remove rows with one or more missing values |## ValueA data.frame with bands / variables of the cube as columns and pixels as rows## Examples```{r}# create image collection from example Landsat data only # if not already done in other examplesif (!file.exists(file.path(tempdir(), "L8.db"))) { L8_files <-list.files(system.file("L8NY18", package ="gdalcubes"),".TIF", recursive =TRUE, full.names =TRUE)create_image_collection(L8_files, "L8_L1TP", file.path(tempdir(), "L8.db"), quiet =TRUE) }L8.col =image_collection(file.path(tempdir(), "L8.db"))v =cube_view(extent=list(left=388941.2, right=766552.4, bottom=4345299, top=4744931, t0="2018-04", t1="2018-05"),srs="EPSG:32618", nx =100, ny=100, dt="P1M")x =select_bands(raster_cube(L8.col, v), c("B04", "B05"))df =as.data.frame(x, complete_only =TRUE)head(df)```