Function polars_core::utils::slice_slice
source · Examples found in repository?
src/frame/groupby/proxy.rs (line 374)
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pub fn slice(&self, offset: i64, len: usize) -> SlicedGroups {
// Safety:
// we create new `Vec`s from the sliced groups. But we wrap them in ManuallyDrop
// so that we never call drop on them.
// These groups lifetimes are bounded to the `self`. This must remain valid
// for the scope of the aggregation.
let sliced = match self {
GroupsProxy::Idx(groups) => {
let first = unsafe {
let first = slice_slice(groups.first(), offset, len);
let ptr = first.as_ptr() as *mut _;
Vec::from_raw_parts(ptr, first.len(), first.len())
};
let all = unsafe {
let all = slice_slice(groups.all(), offset, len);
let ptr = all.as_ptr() as *mut _;
Vec::from_raw_parts(ptr, all.len(), all.len())
};
ManuallyDrop::new(GroupsProxy::Idx(GroupsIdx::new(
first,
all,
groups.is_sorted(),
)))
}
GroupsProxy::Slice { groups, rolling } => {
let groups = unsafe {
let groups = slice_slice(groups, offset, len);
let ptr = groups.as_ptr() as *mut _;
Vec::from_raw_parts(ptr, groups.len(), groups.len())
};
ManuallyDrop::new(GroupsProxy::Slice {
groups,
rolling: *rolling,
})
}
};
SlicedGroups {
sliced,
borrowed: self,
}
}More examples
src/frame/hash_join/mod.rs (line 417)
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pub fn _finish_left_join(
&self,
ids: LeftJoinIds,
other: &DataFrame,
suffix: Option<String>,
slice: Option<(i64, usize)>,
) -> PolarsResult<DataFrame> {
let (left_idx, right_idx) = ids;
let materialize_left = || match left_idx {
JoinIds::Left(left_idx) => {
let mut left_idx = &*left_idx;
if let Some((offset, len)) = slice {
left_idx = slice_slice(left_idx, offset, len);
}
unsafe { self._create_left_df_from_slice(left_idx, true, true) }
}
JoinIds::Right(left_idx) => {
let mut left_idx = &*left_idx;
if let Some((offset, len)) = slice {
left_idx = slice_slice(left_idx, offset, len);
}
unsafe { self.create_left_df_chunked(left_idx, true) }
}
};
let materialize_right = || match right_idx {
JoinOptIds::Left(right_idx) => {
let mut right_idx = &*right_idx;
if let Some((offset, len)) = slice {
right_idx = slice_slice(right_idx, offset, len);
}
unsafe {
other.take_opt_iter_unchecked(
right_idx.iter().map(|opt_i| opt_i.map(|i| i as usize)),
)
}
}
JoinOptIds::Right(right_idx) => {
let mut right_idx = &*right_idx;
if let Some((offset, len)) = slice {
right_idx = slice_slice(right_idx, offset, len);
}
unsafe { other.take_opt_chunked_unchecked(right_idx) }
}
};
let (df_left, df_right) = POOL.join(materialize_left, materialize_right);
_finish_join(df_left, df_right, suffix.as_deref())
}
pub fn _left_join_from_series(
&self,
other: &DataFrame,
s_left: &Series,
s_right: &Series,
suffix: Option<String>,
slice: Option<(i64, usize)>,
verbose: bool,
) -> PolarsResult<DataFrame> {
#[cfg(feature = "dtype-categorical")]
_check_categorical_src(s_left.dtype(), s_right.dtype())?;
// ensure that the chunks are aligned otherwise we go OOB
let mut left = self.clone();
let mut s_left = s_left.clone();
let mut right = other.clone();
let mut s_right = s_right.clone();
if left.should_rechunk() {
left.as_single_chunk_par();
s_left = s_left.rechunk();
}
if right.should_rechunk() {
right.as_single_chunk_par();
s_right = s_right.rechunk();
}
let ids = sort_or_hash_left(&s_left, &s_right, verbose);
left._finish_left_join(ids, &right.drop(s_right.name()).unwrap(), suffix, slice)
}
#[cfg(feature = "semi_anti_join")]
/// # Safety
/// `idx` must be in bounds
pub unsafe fn _finish_anti_semi_join(
&self,
mut idx: &[IdxSize],
slice: Option<(i64, usize)>,
) -> DataFrame {
if let Some((offset, len)) = slice {
idx = slice_slice(idx, offset, len);
}
// idx from anti-semi join should always be sorted
self._take_unchecked_slice2(idx, true, IsSorted::Ascending)
}
#[cfg(feature = "semi_anti_join")]
pub fn _semi_anti_join_from_series(
&self,
s_left: &Series,
s_right: &Series,
slice: Option<(i64, usize)>,
anti: bool,
) -> PolarsResult<DataFrame> {
#[cfg(feature = "dtype-categorical")]
_check_categorical_src(s_left.dtype(), s_right.dtype())?;
let idx = s_left.hash_join_semi_anti(s_right, anti);
// Safety:
// indices are in bounds
Ok(unsafe { self._finish_anti_semi_join(&idx, slice) })
}
pub fn _outer_join_from_series(
&self,
other: &DataFrame,
s_left: &Series,
s_right: &Series,
suffix: Option<String>,
slice: Option<(i64, usize)>,
) -> PolarsResult<DataFrame> {
#[cfg(feature = "dtype-categorical")]
_check_categorical_src(s_left.dtype(), s_right.dtype())?;
// store this so that we can keep original column order.
let join_column_index = self.iter().position(|s| s.name() == s_left.name()).unwrap();
// Get the indexes of the joined relations
let opt_join_tuples = s_left.hash_join_outer(s_right);
let mut opt_join_tuples = &*opt_join_tuples;
if let Some((offset, len)) = slice {
opt_join_tuples = slice_slice(opt_join_tuples, offset, len);
}
// Take the left and right dataframes by join tuples
let (mut df_left, df_right) = POOL.join(
|| unsafe {
self.drop(s_left.name()).unwrap().take_opt_iter_unchecked(
opt_join_tuples
.iter()
.map(|(left, _right)| left.map(|i| i as usize)),
)
},
|| unsafe {
other.drop(s_right.name()).unwrap().take_opt_iter_unchecked(
opt_join_tuples
.iter()
.map(|(_left, right)| right.map(|i| i as usize)),
)
},
);
let mut s = s_left
.to_physical_repr()
.zip_outer_join_column(&s_right.to_physical_repr(), opt_join_tuples);
s.rename(s_left.name());
let s = match s_left.dtype() {
#[cfg(feature = "dtype-categorical")]
DataType::Categorical(_) => {
let ca_left = s_left.categorical().unwrap();
let new_rev_map = ca_left.merge_categorical_map(s_right.categorical().unwrap())?;
let logical = s.u32().unwrap().clone();
// safety:
// categorical maps are merged
unsafe {
CategoricalChunked::from_cats_and_rev_map_unchecked(logical, new_rev_map)
.into_series()
}
}
dt @ DataType::Datetime(_, _)
| dt @ DataType::Time
| dt @ DataType::Date
| dt @ DataType::Duration(_) => s.cast(dt).unwrap(),
_ => s,
};
df_left.get_columns_mut().insert(join_column_index, s);
_finish_join(df_left, df_right, suffix.as_deref())
}src/frame/asof_join/groups.rs (line 691)
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pub fn _join_asof_by(
&self,
other: &DataFrame,
left_on: &str,
right_on: &str,
left_by: Vec<String>,
right_by: Vec<String>,
strategy: AsofStrategy,
tolerance: Option<AnyValue<'static>>,
slice: Option<(i64, usize)>,
) -> PolarsResult<DataFrame> {
let left_asof = self.column(left_on)?.to_physical_repr();
let right_asof = other.column(right_on)?.to_physical_repr();
let right_asof_name = right_asof.name();
let left_asof_name = left_asof.name();
check_asof_columns(&left_asof, &right_asof)?;
let mut left_by = self.select_physical(left_by)?;
let mut right_by = other.select_physical(right_by)?;
let left_by_s = left_by.get_columns()[0].to_physical_repr().into_owned();
let right_by_s = right_by.get_columns()[0].to_physical_repr().into_owned();
let right_join_tuples = with_match_physical_numeric_polars_type!(left_asof.dtype(), |$T| {
let left_asof: &ChunkedArray<$T> = left_asof.as_ref().as_ref().as_ref();
let right_asof: &ChunkedArray<$T> = right_asof.as_ref().as_ref().as_ref();
dispatch_join(
left_asof,
right_asof,
&left_by_s,
&right_by_s,
&mut left_by,
&mut right_by,
strategy,
tolerance
)
})?;
let mut drop_these = right_by.get_column_names();
if left_asof_name == right_asof_name {
drop_these.push(right_asof_name);
}
let cols = other
.get_columns()
.iter()
.filter_map(|s| {
if drop_these.contains(&s.name()) {
None
} else {
Some(s.clone())
}
})
.collect();
let other = DataFrame::new_no_checks(cols);
let mut left = self.clone();
let mut right_join_tuples = &*right_join_tuples;
if let Some((offset, len)) = slice {
left = left.slice(offset, len);
right_join_tuples = slice_slice(right_join_tuples, offset, len);
}
// Safety:
// join tuples are in bounds
let right_df = unsafe {
other.take_opt_iter_unchecked(
right_join_tuples
.iter()
.map(|opt_idx| opt_idx.map(|idx| idx as usize)),
)
};
_finish_join(left, right_df, None)
}src/frame/asof_join/mod.rs (line 181)
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pub fn _join_asof(
&self,
other: &DataFrame,
left_on: &str,
right_on: &str,
strategy: AsofStrategy,
tolerance: Option<AnyValue<'static>>,
suffix: Option<String>,
slice: Option<(i64, usize)>,
) -> PolarsResult<DataFrame> {
let left_key = self.column(left_on)?;
let right_key = other.column(right_on)?;
check_asof_columns(left_key, right_key)?;
let left_key = left_key.to_physical_repr();
let right_key = right_key.to_physical_repr();
let take_idx = match left_key.dtype() {
DataType::Int64 => left_key
.i64()
.unwrap()
.join_asof(&right_key, strategy, tolerance),
DataType::Int32 => left_key
.i32()
.unwrap()
.join_asof(&right_key, strategy, tolerance),
DataType::UInt64 => left_key
.u64()
.unwrap()
.join_asof(&right_key, strategy, tolerance),
DataType::UInt32 => left_key
.u32()
.unwrap()
.join_asof(&right_key, strategy, tolerance),
DataType::Float32 => left_key
.f32()
.unwrap()
.join_asof(&right_key, strategy, tolerance),
DataType::Float64 => left_key
.f64()
.unwrap()
.join_asof(&right_key, strategy, tolerance),
_ => {
let left_key = left_key.cast(&DataType::Int32).unwrap();
let right_key = right_key.cast(&DataType::Int32).unwrap();
left_key
.i32()
.unwrap()
.join_asof(&right_key, strategy, tolerance)
}
}?;
// take_idx are sorted so this is a bound check for all
if let Some(Some(idx)) = take_idx.last() {
assert!((*idx as usize) < other.height())
}
// drop right join column
let other = if left_on == right_on {
Cow::Owned(other.drop(right_on)?)
} else {
Cow::Borrowed(other)
};
let mut left = self.clone();
let mut take_idx = &*take_idx;
if let Some((offset, len)) = slice {
left = left.slice(offset, len);
take_idx = slice_slice(take_idx, offset, len);
}
// Safety:
// join tuples are in bounds
let right_df = unsafe {
other.take_opt_iter_unchecked(
take_idx
.iter()
.map(|opt_idx| opt_idx.map(|idx| idx as usize)),
)
};
_finish_join(left, right_df, suffix.as_deref())
}