df_interchange/from_polars.rs
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use paste::paste;
use std::mem::transmute;
use crate::{error::InterchangeError, ArrowArray, ArrowSchema, Interchange};
macro_rules! polars_to_ffi {
($from_ver:literal) => {
paste! {
impl Interchange {
#[doc = "Move Polars version `" $from_ver "` to the Arrow data interchange format."]
pub fn [<from_polars_ $from_ver>](df: [<polars_crate_ $from_ver>]::frame::DataFrame) -> Result<Self, InterchangeError> {
Ok(Self {
ffi: {
// Number of columns
let num_cols = df.width();
// Prepare ffi series vec
let mut ffi = Vec::with_capacity(num_cols);
// Get the columns from the df, as series
let series: Vec<[<polars_crate_ $from_ver>]::series::Series> = df
.take_columns()
.into_iter()
.map(|s| s.take_materialized_series())
.collect();
for s in series {
// Get arrow-type fields
let field = &s
.field()
.to_arrow([<polars_crate_ $from_ver>]::datatypes::CompatLevel::newest());
// Get name of column
let name = s.name().to_string();
// Get number of chunks in each column
let n_chunks = s.n_chunks();
// Prepare chunk vec
let mut ffi_chunk = Vec::with_capacity(num_cols);
for c in 0..n_chunks {
// Get ffi array
let ffi_array = [<polars_arrow_ $from_ver>]::ffi::export_array_to_c(
s.to_arrow(c, [<polars_crate_ $from_ver>]::datatypes::CompatLevel::newest()),
);
// Get ffi field
let ffi_field = [<polars_arrow_ $from_ver>]::ffi::export_field_to_c(field);
// Convert ffi array from polars-arrow to this crate's version of ArrowArray
let ffi_array = unsafe { transmute::<
[<polars_arrow_ $from_ver>]::ffi::ArrowArray,
ArrowArray,
>(ffi_array)};
// Convert ffi field from polars-arrow to this crate's version of ArrowField
let ffi_field = unsafe{transmute::<
[<polars_arrow_ $from_ver>]::ffi::ArrowSchema,
ArrowSchema,
>(ffi_field)};
// Create series
ffi_chunk.push((ffi_array, ffi_field));
}
ffi.push((name, ffi_chunk));
}
ffi
}
})
}
}
}
};
}
#[cfg(feature = "polars_0_44")]
polars_to_ffi!("0_44");
#[cfg(feature = "polars_0_45")]
polars_to_ffi!("0_45");
#[cfg(feature = "polars_0_46")]
polars_to_ffi!("0_46");
macro_rules! polars_to_ffi {
($from_ver:literal) => {
paste! {
impl Interchange {
#[doc = "Move Polars version `" $from_ver "` to the Arrow data interchange format."]
pub fn [<from_polars_ $from_ver>](df: [<polars_crate_ $from_ver>]::frame::DataFrame) -> Result<Self, InterchangeError> {
Ok(Self {
ffi: {
// Number of columns
let num_cols = df.width();
// Prepare ffi series vec
let mut ffi = Vec::with_capacity(num_cols);
// Get the series from the df
let series: Vec<[<polars_crate_ $from_ver>]::series::Series> = df.take_columns();
for s in series {
// Get arrow-type fields
let field = &s
.field()
.to_arrow([<polars_crate_ $from_ver>]::datatypes::CompatLevel::newest());
// Get name of column
let name = s.name().to_string();
// Get number of chunks in each column
let n_chunks = s.n_chunks();
// Prepare chunk vec
let mut ffi_chunk = Vec::with_capacity(num_cols);
for c in 0..n_chunks {
// Get ffi array
let ffi_array = [<polars_arrow_ $from_ver>]::ffi::export_array_to_c(
s.to_arrow(c, [<polars_crate_ $from_ver>]::datatypes::CompatLevel::newest()),
);
// Get ffi field
let ffi_field = [<polars_arrow_ $from_ver>]::ffi::export_field_to_c(field);
// Convert ffi array from polars-arrow to this crate's version of ArrowArray
let ffi_array = unsafe { transmute::<
[<polars_arrow_ $from_ver>]::ffi::ArrowArray,
ArrowArray,
>(ffi_array)};
// Convert ffi field from polars-arrow to this crate's version of ArrowField
let ffi_field = unsafe{transmute::<
[<polars_arrow_ $from_ver>]::ffi::ArrowSchema,
ArrowSchema,
>(ffi_field)};
// Create series
ffi_chunk.push((ffi_array, ffi_field));
}
ffi.push((name, ffi_chunk));
}
ffi
}
})
}
}
}
};
}
#[cfg(feature = "polars_0_42")]
polars_to_ffi!("0_42");
#[cfg(feature = "polars_0_43")]
polars_to_ffi!("0_43");
macro_rules! polars_to_ffi {
($from_ver:literal) => {
paste! {
impl Interchange {
#[doc = "Move Polars version `" $from_ver "` to the Arrow data interchange format."]
pub fn [<from_polars_ $from_ver>](df: [<polars_crate_ $from_ver>]::frame::DataFrame) -> Result<Self, InterchangeError> {
Ok(Self {
ffi: {
// Number of columns
let num_cols = df.width();
// Prepare ffi series vec
let mut ffi = Vec::with_capacity(num_cols);
// Get column names to remove them one by one
let names = df.get_column_names();
// Get the series from the df
let series: Vec<[<polars_crate_ $from_ver>]::series::Series> = df.select_series(names)?;
for s in series {
// Get arrow-type fields
let field = &s
.field()
.to_arrow(false);
// Get name of column
let name = s.name().to_string();
// Get number of chunks in each column
let n_chunks = s.n_chunks();
// Prepare chunk vec
let mut ffi_chunk = Vec::with_capacity(num_cols);
for c in 0..n_chunks {
// Get ffi array
let ffi_array = [<polars_arrow_ $from_ver>]::ffi::export_array_to_c(
s.to_arrow(c, false),
);
// Get ffi field
let ffi_field = [<polars_arrow_ $from_ver>]::ffi::export_field_to_c(field);
// Convert ffi array from polars-arrow to this crate's version of ArrowArray
let ffi_array = unsafe { transmute::<
[<polars_arrow_ $from_ver>]::ffi::ArrowArray,
ArrowArray,
>(ffi_array)};
// Convert ffi field from polars-arrow to this crate's version of ArrowField
let ffi_field = unsafe{transmute::<
[<polars_arrow_ $from_ver>]::ffi::ArrowSchema,
ArrowSchema,
>(ffi_field)};
// Create series
ffi_chunk.push((ffi_array, ffi_field));
}
ffi.push((name, ffi_chunk));
}
ffi
}
})
}
}
}
};
}
#[cfg(feature = "polars_0_40")]
polars_to_ffi!("0_40");
#[cfg(feature = "polars_0_41")]
polars_to_ffi!("0_41");