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#[cfg(feature = "dtype-categorical")]
use crate::chunked_array::categorical::CategoricalChunkedBuilder;
use crate::prelude::*;
use polars_arrow::compute::cast;
use std::convert::TryFrom;
pub(crate) fn cast_chunks(chunks: &[ArrayRef], dtype: &DataType) -> Result<Vec<ArrayRef>> {
let chunks = chunks
.iter()
.map(|arr| cast::cast(arr.as_ref(), &dtype.to_arrow()))
.map(|arr| arr.map(|x| x.into()))
.collect::<arrow::error::Result<Vec<_>>>()?;
Ok(chunks)
}
fn cast_impl(name: &str, chunks: &[ArrayRef], dtype: &DataType) -> Result<Series> {
let chunks = cast_chunks(chunks, &dtype.to_physical())?;
let out = Series::try_from((name, chunks))?;
use DataType::*;
let out = match dtype {
Date => out.into_date(),
Datetime(tu, tz) => out.into_datetime(*tu, tz.clone()),
Duration(tu) => out.into_duration(*tu),
#[cfg(feature = "dtype-time")]
Time => out.into_time(),
_ => out,
};
Ok(out)
}
impl<T> ChunkCast for ChunkedArray<T>
where
T: PolarsNumericType,
{
fn cast(&self, data_type: &DataType) -> Result<Series> {
match data_type {
#[cfg(feature = "dtype-categorical")]
DataType::Categorical(_) => {
Ok(CategoricalChunked::full_null(self.name(), self.len()).into_series())
}
_ => cast_impl(self.name(), &self.chunks, data_type),
}
}
}
impl ChunkCast for Utf8Chunked {
fn cast(&self, data_type: &DataType) -> Result<Series> {
match data_type {
#[cfg(feature = "dtype-categorical")]
DataType::Categorical(_) => {
let iter = self.into_iter();
let mut builder = CategoricalChunkedBuilder::new(self.name(), self.len());
builder.drain_iter(iter);
let ca = builder.finish();
Ok(ca.into_series())
}
_ => cast_impl(self.name(), &self.chunks, data_type),
}
}
}
fn boolean_to_utf8(ca: &BooleanChunked) -> Utf8Chunked {
ca.into_iter()
.map(|opt_b| match opt_b {
Some(true) => Some("true"),
Some(false) => Some("false"),
None => None,
})
.collect()
}
impl ChunkCast for BooleanChunked {
fn cast(&self, data_type: &DataType) -> Result<Series> {
if matches!(data_type, DataType::Utf8) {
let mut ca = boolean_to_utf8(self);
ca.rename(self.name());
Ok(ca.into_series())
} else {
cast_impl(self.name(), &self.chunks, data_type)
}
}
}
fn cast_inner_list_type(list: &ListArray<i64>, child_type: &DataType) -> Result<ArrayRef> {
let child = list.values();
let offsets = list.offsets();
let child = cast::cast(child.as_ref(), &child_type.to_arrow())?.into();
let data_type = ListArray::<i64>::default_datatype(child_type.to_arrow());
let list = ListArray::from_data(data_type, offsets.clone(), child, list.validity().cloned());
Ok(Arc::new(list) as ArrayRef)
}
impl ChunkCast for ListChunked {
fn cast(&self, data_type: &DataType) -> Result<Series> {
match data_type {
DataType::List(child_type) => {
let mut ca = if child_type.to_physical() != self.inner_dtype() {
let chunks = self
.downcast_iter()
.map(|list| cast_inner_list_type(list, &**child_type))
.collect::<Result<_>>()?;
ListChunked::from_chunks(self.name(), chunks)
} else {
self.clone()
};
ca.with_inner_type(*child_type.clone());
Ok(ca.into_series())
}
_ => Err(PolarsError::ComputeError("Cannot cast list type".into())),
}
}
}
#[cfg(test)]
mod test {
use crate::prelude::*;
#[test]
fn test_cast_list() -> Result<()> {
let mut builder = ListPrimitiveChunkedBuilder::<i32>::new("a", 10, 10, DataType::Int32);
builder.append_slice(Some(&[1i32, 2, 3]));
builder.append_slice(Some(&[1i32, 2, 3]));
let ca = builder.finish();
let new = ca.cast(&DataType::List(DataType::Float64.into()))?;
assert_eq!(new.dtype(), &DataType::List(DataType::Float64.into()));
Ok(())
}
#[test]
#[cfg(feature = "dtype-categorical")]
fn test_cast_noop() {
let ca = Utf8Chunked::new("foo", &["bar", "ham"]);
let out = ca.cast(&DataType::Categorical(None)).unwrap();
let out = out.cast(&DataType::Categorical(None)).unwrap();
assert!(matches!(out.dtype(), &DataType::Categorical(_)))
}
}