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 mut last = T::ZeroablePhysical::zeroed();
146 let values: Vec<T::ZeroablePhysical<'a>> = ca
147 .iter()
148 .map(|v| {
149 last = v.map(|v| v.into()).unwrap_or(last);
150 last
151 })
152 .collect_trusted();
153
154 let num_start_nulls = ca.first_non_null().unwrap_or(ca.len());
156 let mut bm = BitmapBuilder::with_capacity(ca.len());
157 bm.extend_constant(num_start_nulls, false);
158 bm.extend_constant(ca.len() - num_start_nulls, true);
159 ChunkedArray::from_chunk_iter_like(
160 ca,
161 [
162 T::Array::from_zeroable_vec(values, ca.dtype().to_arrow(CompatLevel::newest()))
163 .with_validity_typed(bm.into_opt_validity()),
164 ],
165 )
166}
167
168fn fill_backward_numeric<'a, T>(ca: &'a ChunkedArray<T>) -> ChunkedArray<T>
169where
170 T: PolarsDataType,
171 T::ZeroablePhysical<'a>: Copy,
172{
173 let mut last = T::ZeroablePhysical::zeroed();
175 let values: Vec<T::ZeroablePhysical<'a>> = ca
176 .iter()
177 .rev()
178 .map(|v| {
179 last = v.map(|v| v.into()).unwrap_or(last);
180 last
181 })
182 .collect_reversed();
183
184 let num_end_nulls = ca
186 .last_non_null()
187 .map(|i| ca.len() - 1 - i)
188 .unwrap_or(ca.len());
189 let mut bm = BitmapBuilder::with_capacity(ca.len());
190 bm.extend_constant(ca.len() - num_end_nulls, true);
191 bm.extend_constant(num_end_nulls, false);
192 ChunkedArray::from_chunk_iter_like(
193 ca,
194 [
195 T::Array::from_zeroable_vec(values, ca.dtype().to_arrow(CompatLevel::newest()))
196 .with_validity_typed(bm.into_opt_validity()),
197 ],
198 )
199}
200
201fn fill_null_numeric<T>(
202 ca: &ChunkedArray<T>,
203 strategy: FillNullStrategy,
204) -> PolarsResult<ChunkedArray<T>>
205where
206 T: PolarsNumericType,
207 ChunkedArray<T>: ChunkAgg<T::Native>,
208{
209 let mut out = match strategy {
211 FillNullStrategy::Min => {
212 ca.fill_null_with_values(ChunkAgg::min(ca).ok_or_else(err_fill_null)?)?
213 },
214 FillNullStrategy::Max => {
215 ca.fill_null_with_values(ChunkAgg::max(ca).ok_or_else(err_fill_null)?)?
216 },
217 FillNullStrategy::Mean => ca.fill_null_with_values(
218 ca.mean()
219 .map(|v| NumCast::from(v).unwrap())
220 .ok_or_else(err_fill_null)?,
221 )?,
222 FillNullStrategy::One => return ca.fill_null_with_values(One::one()),
223 FillNullStrategy::Zero => return ca.fill_null_with_values(Zero::zero()),
224 FillNullStrategy::Forward(None) => fill_forward_numeric(ca),
225 FillNullStrategy::Backward(None) => fill_backward_numeric(ca),
226 FillNullStrategy::Forward(_) => unreachable!(),
228 FillNullStrategy::Backward(_) => unreachable!(),
229 };
230 out.rename(ca.name().clone());
231 Ok(out)
232}
233
234fn fill_with_gather<F: Fn(&Bitmap) -> Vec<IdxSize>>(
235 s: &Series,
236 bits_to_idx: F,
237) -> PolarsResult<Series> {
238 let s = s.rechunk();
239 let arr = s.chunks()[0].clone();
240 let validity = arr.validity().expect("nulls");
241
242 let idx = bits_to_idx(validity);
243
244 Ok(unsafe { s.take_slice_unchecked(&idx) })
245}
246
247fn fill_forward_gather(s: &Series) -> PolarsResult<Series> {
248 fill_with_gather(s, |validity| {
249 let mut last_valid = 0;
250 validity
251 .iter()
252 .enumerate_idx()
253 .map(|(i, v)| {
254 if v {
255 last_valid = i;
256 i
257 } else {
258 last_valid
259 }
260 })
261 .collect::<Vec<_>>()
262 })
263}
264
265fn fill_forward_gather_limit(s: &Series, limit: IdxSize) -> PolarsResult<Series> {
266 fill_with_gather(s, |validity| {
267 let mut last_valid = 0;
268 let mut conseq_invalid_count = 0;
269 validity
270 .iter()
271 .enumerate_idx()
272 .map(|(i, v)| {
273 if v {
274 last_valid = i;
275 conseq_invalid_count = 0;
276 i
277 } else if conseq_invalid_count < limit {
278 conseq_invalid_count += 1;
279 last_valid
280 } else {
281 i
282 }
283 })
284 .collect::<Vec<_>>()
285 })
286}
287
288fn fill_backward_gather(s: &Series) -> PolarsResult<Series> {
289 fill_with_gather(s, |validity| {
290 let last = validity.len() as IdxSize - 1;
291 let mut last_valid = last;
292 unsafe {
293 validity
294 .iter()
295 .rev()
296 .enumerate_idx()
297 .map(|(i, v)| {
298 if v {
299 last_valid = last - i;
300 last - i
301 } else {
302 last_valid
303 }
304 })
305 .trust_my_length((last + 1) as usize)
306 .collect_reversed::<Vec<_>>()
307 }
308 })
309}
310
311fn fill_backward_gather_limit(s: &Series, limit: IdxSize) -> PolarsResult<Series> {
312 fill_with_gather(s, |validity| {
313 let last = validity.len() as IdxSize - 1;
314 let mut last_valid = last;
315 let mut conseq_invalid_count = 0;
316 unsafe {
317 validity
318 .iter()
319 .rev()
320 .enumerate_idx()
321 .map(|(i, v)| {
322 if v {
323 last_valid = last - i;
324 conseq_invalid_count = 0;
325 last - i
326 } else if conseq_invalid_count < limit {
327 conseq_invalid_count += 1;
328 last_valid
329 } else {
330 last - i
331 }
332 })
333 .trust_my_length((last + 1) as usize)
334 .collect_reversed()
335 }
336 })
337}
338
339fn fill_null_bool(ca: &BooleanChunked, strategy: FillNullStrategy) -> PolarsResult<Series> {
340 match strategy {
341 FillNullStrategy::Min => ca
342 .fill_null_with_values(ca.min().ok_or_else(err_fill_null)?)
343 .map(|ca| ca.into_series()),
344 FillNullStrategy::Max => ca
345 .fill_null_with_values(ca.max().ok_or_else(err_fill_null)?)
346 .map(|ca| ca.into_series()),
347 FillNullStrategy::Mean => polars_bail!(opq = mean, "Boolean"),
348 FillNullStrategy::One => ca.fill_null_with_values(true).map(|ca| ca.into_series()),
349 FillNullStrategy::Zero => ca.fill_null_with_values(false).map(|ca| ca.into_series()),
350 FillNullStrategy::Forward(_) => unreachable!(),
351 FillNullStrategy::Backward(_) => unreachable!(),
352 }
353}
354
355fn fill_null_binary(ca: &BinaryChunked, strategy: FillNullStrategy) -> PolarsResult<BinaryChunked> {
356 match strategy {
357 FillNullStrategy::Min => {
358 ca.fill_null_with_values(ca.min_binary().ok_or_else(err_fill_null)?)
359 },
360 FillNullStrategy::Max => {
361 ca.fill_null_with_values(ca.max_binary().ok_or_else(err_fill_null)?)
362 },
363 FillNullStrategy::Zero => ca.fill_null_with_values(&[]),
364 FillNullStrategy::Forward(_) => unreachable!(),
365 FillNullStrategy::Backward(_) => unreachable!(),
366 strat => polars_bail!(InvalidOperation: "fill-null strategy {:?} is not supported", strat),
367 }
368}
369
370impl<T> ChunkFillNullValue<T::Native> for ChunkedArray<T>
371where
372 T: PolarsNumericType,
373{
374 fn fill_null_with_values(&self, value: T::Native) -> PolarsResult<Self> {
375 Ok(self.apply_kernel(&|arr| Box::new(set_at_nulls(arr, value))))
376 }
377}
378
379impl ChunkFillNullValue<bool> for BooleanChunked {
380 fn fill_null_with_values(&self, value: bool) -> PolarsResult<Self> {
381 self.set(&self.is_null(), Some(value))
382 }
383}
384
385impl ChunkFillNullValue<&[u8]> for BinaryChunked {
386 fn fill_null_with_values(&self, value: &[u8]) -> PolarsResult<Self> {
387 self.set(&self.is_null(), Some(value))
388 }
389}