polars_core/chunked_array/ops/
fill_null.rs1use arrow::bitmap::{Bitmap, BitmapBuilder};
2use arrow::legacy::kernels::set::set_at_nulls;
3use bytemuck::Zeroable;
4use num_traits::{NumCast, One, Zero};
5use polars_utils::itertools::Itertools;
6
7use crate::prelude::*;
8
9fn err_fill_null() -> PolarsError {
10 polars_err!(ComputeError: "could not determine the fill value")
11}
12
13impl Series {
14 pub fn fill_null(&self, strategy: FillNullStrategy) -> PolarsResult<Series> {
59 let nc = self.null_count();
61 if nc == 0
62 || (nc == self.len()
63 && matches!(
64 strategy,
65 FillNullStrategy::Forward(_)
66 | FillNullStrategy::Backward(_)
67 | FillNullStrategy::Max
68 | FillNullStrategy::Min
69 | FillNullStrategy::Mean
70 ))
71 {
72 return Ok(self.clone());
73 }
74
75 let physical_type = self.dtype().to_physical();
76
77 match strategy {
78 FillNullStrategy::Forward(None) if !physical_type.is_primitive_numeric() => {
79 fill_forward_gather(self)
80 },
81
82 FillNullStrategy::Forward(Some(limit)) if limit >= nc as IdxSize => {
84 self.fill_null(FillNullStrategy::Forward(None))
85 },
86 FillNullStrategy::Backward(Some(limit)) if limit >= nc as IdxSize => {
87 self.fill_null(FillNullStrategy::Backward(None))
88 },
89
90 FillNullStrategy::Forward(Some(limit)) => fill_forward_gather_limit(self, limit),
91 FillNullStrategy::Backward(None) if !physical_type.is_primitive_numeric() => {
92 fill_backward_gather(self)
93 },
94 FillNullStrategy::Backward(Some(limit)) => fill_backward_gather_limit(self, limit),
95 #[cfg(feature = "dtype-decimal")]
96 FillNullStrategy::One if self.dtype().is_decimal() => {
97 use polars_compute::decimal::i128_to_dec128;
98
99 let ca = self.decimal().unwrap();
100 let precision = ca.precision();
101 let scale = ca.scale();
102 let fill_value = i128_to_dec128(1, precision, scale).ok_or_else(|| {
103 polars_err!(ComputeError: "value '1' is out of range for Decimal({precision}, {scale})")
104 })?;
105 let phys = ca.physical().fill_null_with_values(fill_value)?;
106 Ok(phys.into_decimal_unchecked(precision, scale).into_series())
107 },
108 _ => {
109 let logical_type = self.dtype();
110 let s = self.to_physical_repr();
111 use DataType::*;
112 let out = match s.dtype() {
113 Boolean => fill_null_bool(s.bool().unwrap(), strategy),
114 String => {
115 let s = unsafe { s.cast_unchecked(&Binary)? };
116 let out = s.fill_null(strategy)?;
117 return unsafe { out.cast_unchecked(&String) };
118 },
119 Binary => {
120 let ca = s.binary().unwrap();
121 fill_null_binary(ca, strategy).map(|ca| ca.into_series())
122 },
123 dt if dt.is_primitive_numeric() => {
124 with_match_physical_numeric_polars_type!(dt, |$T| {
125 let ca: &ChunkedArray<$T> = s.as_ref().as_ref().as_ref();
126 fill_null_numeric(ca, strategy).map(|ca| ca.into_series())
127 })
128 },
129 dt => {
130 polars_bail!(InvalidOperation: "fill null strategy not yet supported for dtype: {}", dt)
131 },
132 }?;
133 unsafe { out.from_physical_unchecked(logical_type) }
134 },
135 }
136 }
137}
138
139fn fill_forward_numeric<'a, T>(ca: &'a ChunkedArray<T>) -> ChunkedArray<T>
140where
141 T: PolarsDataType,
142 T::ZeroablePhysical<'a>: Copy,
143{
144 let values: Vec<T::ZeroablePhysical<'a>> = ca
146 .iter()
147 .scan(T::ZeroablePhysical::zeroed(), |prev, v| {
148 *prev = v.map(|v| v.into()).unwrap_or(*prev);
149 Some(*prev)
150 })
151 .collect_trusted();
152
153 let num_start_nulls = ca.first_non_null().unwrap_or(ca.len());
155 let mut bm = BitmapBuilder::with_capacity(ca.len());
156 bm.extend_constant(num_start_nulls, false);
157 bm.extend_constant(ca.len() - num_start_nulls, true);
158 ChunkedArray::from_chunk_iter_like(
159 ca,
160 [
161 T::Array::from_zeroable_vec(values, ca.dtype().to_arrow(CompatLevel::newest()))
162 .with_validity_typed(bm.into_opt_validity()),
163 ],
164 )
165}
166
167fn fill_backward_numeric<'a, T>(ca: &'a ChunkedArray<T>) -> ChunkedArray<T>
168where
169 T: PolarsDataType,
170 T::ZeroablePhysical<'a>: Copy,
171{
172 let values: Vec<T::ZeroablePhysical<'a>> = ca
174 .iter()
175 .rev()
176 .scan(T::ZeroablePhysical::zeroed(), |prev, v| {
177 *prev = v.map(|v| v.into()).unwrap_or(*prev);
178 Some(*prev)
179 })
180 .collect_reversed();
181
182 let num_end_nulls = ca
184 .last_non_null()
185 .map(|i| ca.len() - 1 - i)
186 .unwrap_or(ca.len());
187 let mut bm = BitmapBuilder::with_capacity(ca.len());
188 bm.extend_constant(ca.len() - num_end_nulls, true);
189 bm.extend_constant(num_end_nulls, false);
190 ChunkedArray::from_chunk_iter_like(
191 ca,
192 [
193 T::Array::from_zeroable_vec(values, ca.dtype().to_arrow(CompatLevel::newest()))
194 .with_validity_typed(bm.into_opt_validity()),
195 ],
196 )
197}
198
199fn fill_null_numeric<T>(
200 ca: &ChunkedArray<T>,
201 strategy: FillNullStrategy,
202) -> PolarsResult<ChunkedArray<T>>
203where
204 T: PolarsNumericType,
205 ChunkedArray<T>: ChunkAgg<T::Native>,
206{
207 let mut out = match strategy {
209 FillNullStrategy::Min => {
210 ca.fill_null_with_values(ChunkAgg::min(ca).ok_or_else(err_fill_null)?)?
211 },
212 FillNullStrategy::Max => {
213 ca.fill_null_with_values(ChunkAgg::max(ca).ok_or_else(err_fill_null)?)?
214 },
215 FillNullStrategy::Mean => ca.fill_null_with_values(
216 ca.mean()
217 .map(|v| NumCast::from(v).unwrap())
218 .ok_or_else(err_fill_null)?,
219 )?,
220 FillNullStrategy::One => return ca.fill_null_with_values(One::one()),
221 FillNullStrategy::Zero => return ca.fill_null_with_values(Zero::zero()),
222 FillNullStrategy::Forward(None) => fill_forward_numeric(ca),
223 FillNullStrategy::Backward(None) => fill_backward_numeric(ca),
224 FillNullStrategy::Forward(_) => unreachable!(),
226 FillNullStrategy::Backward(_) => unreachable!(),
227 };
228 out.rename(ca.name().clone());
229 Ok(out)
230}
231
232fn fill_with_gather<F: Fn(&Bitmap) -> Vec<IdxSize>>(
233 s: &Series,
234 bits_to_idx: F,
235) -> PolarsResult<Series> {
236 let s = s.rechunk();
237 let arr = s.chunks()[0].clone();
238 let validity = arr.validity().expect("nulls");
239
240 let idx = bits_to_idx(validity);
241
242 Ok(unsafe { s.take_slice_unchecked(&idx) })
243}
244
245fn fill_forward_gather(s: &Series) -> PolarsResult<Series> {
246 fill_with_gather(s, |validity| {
247 let mut last_valid = 0;
248 validity
249 .iter()
250 .enumerate_idx()
251 .map(|(i, v)| {
252 if v {
253 last_valid = i;
254 i
255 } else {
256 last_valid
257 }
258 })
259 .collect::<Vec<_>>()
260 })
261}
262
263fn fill_forward_gather_limit(s: &Series, limit: IdxSize) -> PolarsResult<Series> {
264 fill_with_gather(s, |validity| {
265 let mut last_valid = 0;
266 let mut conseq_invalid_count = 0;
267 validity
268 .iter()
269 .enumerate_idx()
270 .map(|(i, v)| {
271 if v {
272 last_valid = i;
273 conseq_invalid_count = 0;
274 i
275 } else if conseq_invalid_count < limit {
276 conseq_invalid_count += 1;
277 last_valid
278 } else {
279 i
280 }
281 })
282 .collect::<Vec<_>>()
283 })
284}
285
286fn fill_backward_gather(s: &Series) -> PolarsResult<Series> {
287 fill_with_gather(s, |validity| {
288 let last = validity.len() as IdxSize - 1;
289 let mut last_valid = last;
290 unsafe {
291 validity
292 .iter()
293 .rev()
294 .enumerate_idx()
295 .map(|(i, v)| {
296 if v {
297 last_valid = last - i;
298 last - i
299 } else {
300 last_valid
301 }
302 })
303 .trust_my_length((last + 1) as usize)
304 .collect_reversed::<Vec<_>>()
305 }
306 })
307}
308
309fn fill_backward_gather_limit(s: &Series, limit: IdxSize) -> PolarsResult<Series> {
310 fill_with_gather(s, |validity| {
311 let last = validity.len() as IdxSize - 1;
312 let mut last_valid = last;
313 let mut conseq_invalid_count = 0;
314 unsafe {
315 validity
316 .iter()
317 .rev()
318 .enumerate_idx()
319 .map(|(i, v)| {
320 if v {
321 last_valid = last - i;
322 conseq_invalid_count = 0;
323 last - i
324 } else if conseq_invalid_count < limit {
325 conseq_invalid_count += 1;
326 last_valid
327 } else {
328 last - i
329 }
330 })
331 .trust_my_length((last + 1) as usize)
332 .collect_reversed()
333 }
334 })
335}
336
337fn fill_null_bool(ca: &BooleanChunked, strategy: FillNullStrategy) -> PolarsResult<Series> {
338 match strategy {
339 FillNullStrategy::Min => ca
340 .fill_null_with_values(ca.min().ok_or_else(err_fill_null)?)
341 .map(|ca| ca.into_series()),
342 FillNullStrategy::Max => ca
343 .fill_null_with_values(ca.max().ok_or_else(err_fill_null)?)
344 .map(|ca| ca.into_series()),
345 FillNullStrategy::Mean => polars_bail!(opq = mean, "Boolean"),
346 FillNullStrategy::One => ca.fill_null_with_values(true).map(|ca| ca.into_series()),
347 FillNullStrategy::Zero => ca.fill_null_with_values(false).map(|ca| ca.into_series()),
348 FillNullStrategy::Forward(_) => unreachable!(),
349 FillNullStrategy::Backward(_) => unreachable!(),
350 }
351}
352
353fn fill_null_binary(ca: &BinaryChunked, strategy: FillNullStrategy) -> PolarsResult<BinaryChunked> {
354 match strategy {
355 FillNullStrategy::Min => {
356 ca.fill_null_with_values(ca.min_binary().ok_or_else(err_fill_null)?)
357 },
358 FillNullStrategy::Max => {
359 ca.fill_null_with_values(ca.max_binary().ok_or_else(err_fill_null)?)
360 },
361 FillNullStrategy::Zero => ca.fill_null_with_values(&[]),
362 FillNullStrategy::Forward(_) => unreachable!(),
363 FillNullStrategy::Backward(_) => unreachable!(),
364 strat => polars_bail!(InvalidOperation: "fill-null strategy {:?} is not supported", strat),
365 }
366}
367
368impl<T> ChunkFillNullValue<T::Native> for ChunkedArray<T>
369where
370 T: PolarsNumericType,
371{
372 fn fill_null_with_values(&self, value: T::Native) -> PolarsResult<Self> {
373 Ok(self.apply_kernel(&|arr| Box::new(set_at_nulls(arr, value))))
374 }
375}
376
377impl ChunkFillNullValue<bool> for BooleanChunked {
378 fn fill_null_with_values(&self, value: bool) -> PolarsResult<Self> {
379 self.set(&self.is_null(), Some(value))
380 }
381}
382
383impl ChunkFillNullValue<&[u8]> for BinaryChunked {
384 fn fill_null_with_values(&self, value: &[u8]) -> PolarsResult<Self> {
385 self.set(&self.is_null(), Some(value))
386 }
387}