Convert an Array into an R vector — convert

Converts array to the type specified by to. This is a low-level interface; most users should use as.data.frame() or as.vector() unless finer-grained control is needed over the conversion. This function is an S3 generic dispatching on to: developers may implement their own S3 methods for custom vector types.

Usage

convert_array(array, to = NULL, ...)

Arguments

array: A nanoarrow_array.
to: A target prototype object describing the type to which array should be converted, or NULL to use the default conversion as returned by infer_nanoarrow_ptype(). Alternatively, a function can be passed to perform an alternative calculation of the default ptype as a function of array and the default inference of the prototype.
...: Passed to S3 methods

Value

An R vector of type to.

Details

Note that unregistered extension types will by default issue a warning. Use options(nanoarrow.warn_unregistered_extension = FALSE) to disable this behaviour.

Conversions are implemented for the following R vector types:

logical(): Any numeric type can be converted to logical() in addition to the bool type. For numeric types, any non-zero value is considered TRUE.
integer(): Any numeric type can be converted to integer(); however, a warning will be signaled if the any value is outside the range of the 32-bit integer.
double(): Any numeric type can be converted to double(). This conversion currently does not warn for values that may not roundtrip through a floating-point double (e.g., very large uint64 and int64 values).
character(): String and large string types can be converted to character(). The conversion does not check for valid UTF-8: if you need finer-grained control over encodings, use to = blob::blob().
factor(): Dictionary-encoded arrays of strings can be converted to factor(); however, this must be specified explicitly (i.e., convert_array(array, factor())) because arrays arriving in chunks can have dictionaries that contain different levels. Use convert_array(array, factor(levels = c(...))) to materialize an array into a vector with known levels.
Date: Only the date32 type can be converted to an R Date vector.
hms::hms(): Time32 and time64 types can be converted to hms::hms().
difftime(): Time32, time64, and duration types can be converted to R difftime() vectors. The value is converted to match the units() attribute of to.
blob::blob(): String, large string, binary, and large binary types can be converted to blob::blob().
vctrs::list_of(): List, large list, and fixed-size list types can be converted to vctrs::list_of().
data.frame(): Struct types can be converted to data.frame().
vctrs::unspecified(): Any type can be converted to vctrs::unspecified(); however, a warning will be raised if any non-null values are encountered.

In addition to the above conversions, a null array may be converted to any target prototype except data.frame(). Extension arrays are currently converted as their storage type.

Examples

array <- as_nanoarrow_array(data.frame(x = 1:5))
str(convert_array(array))
#> 'data.frame':	5 obs. of  1 variable:
#>  $ x: int  1 2 3 4 5
str(convert_array(array, to = data.frame(x = double())))
#> 'data.frame':	5 obs. of  1 variable:
#>  $ x: num  1 2 3 4 5