Published April 15, 2023
| Version py-0.17.3
Software
Open
pola-rs/polars: Python Polars 0.17.3
Creators
- Ritchie Vink
- Stijn de Gooijer
- Alexander Beedie
- J van Zundert
- Gert Hulselmans1
- Marco Edward Gorelli2
- Cory Grinstead
- Matteo Santamaria3
- Daniël Heres4
- ibENPC
- Jorge Leitao5
- Marc van Heerden
- Colin Jermain
- Ryan Russell
- Chris Pryer6
- Adrián Gallego Castellanos7
- Jeremy Goh
- Moritz Wilksch8
- illumination-k
- Oliver Borchert9
- Joshua Peek
- Max Conradt10
- Liam Brannigan
- Yu Ri Tan
- elbaro
- Nicolas Stalder11
- Robert
- Søren Havelund Welling12
- Adam Gregory13
- 1. @aertslab
- 2. Quansight
- 3. University of California, Berkeley
- 4. @coralogix
- 5. Munin Data ApS
- 6. @twin-labs
- 7. Universidad Carlos III(student)
- 8. @QuantCo
- 9. @Quantco
- 10. Jupiter Intelligence
- 11. @solokeys @trussed-dev @yamnord @ycrypto
- 12. Pharmatronics (a one man consultancy)
- 13. Aguila Engineering
Description
🏆 Highlights
- support
DataFrame
init frompydantic
model data (#8178)
- fail fast on non-inferable strings in strptime if no
fmt
is provided (#8111) - make chunks search more resilient (#8229)
- SIMD accelerated
arg_min
/arg_max
(viaargminmax
) (#8074) - speed up csv parsing for slower datetimes formats (#8213)
- improve datetime interpret perf (#8209)
arr.eval
run on groupby expression engine when possible (#8199)- ~2-3x speedup for
DataFrame
init frompydantic
models (#8181)
- add
use_earliest
argument toreplace_time_zone
for dealing with ambiguous datetimes (#8087) - fail loudly on .%f directive, as it differs from the Python standard library (#8237)
- SQL CTE's (#8208)
- automatically convert
series OP expr
->pl.lit(series) OP expr
where OP is arithmetic (#8225) - add pickle support for
LazyFrame
(#8220) - add duration cumsum and remainder (#8219)
- support
DataFrame
init from nesteddataclass
,pydantic
, andNamedTuple
objects (#8185) - better algorithm for streaming unique (#8003)
- Add approx distinct count via
approx_unique()
(#7937) - add percentiles to
describe
methods (#8169) - support
DataFrame
init frompydantic
model data (#8178) - display skipped row if same number of rows (#8170)
- add special numpy float branch in anyvalue conversion (#8259)
- fix boolean par materialization (#8257)
- improve null/empty list construction (#8255)
- fix offsets in parallel utf8 materialization (#8254)
- nested struct logical type consistency (#8249)
- keep literal state if elementwise function is applied (#8195)
- decimal ensure backed arrow arrays have correct dtype (#8193)
- parametric/hypothesis testing code cleanups (#8253)
- Rename
strptime
/strftime
args (#8221) - change sampling ratio for groupby strategy (#8223)
- Rename
Expr.list
toimplode
(#8165) - don't panic on err in offset_by (#8210)
- re-enable test parallization for Windows tests (#8214)
- Fix small typo: "im memory" -> "in memory" (#8187)
- remove unused dtype_to_arrow_type (#8177)
Thank you to all our contributors for making this release possible! @MarcoGorelli, @alexander-beedie, @avimallu, @borchero, @chitralverma, @clickingbuttons, @ghuls, @josh, @jvdd, @rben01, @ritchie46, @stinodego and @universalmind303
Files
pola-rs/polars-py-0.17.3.zip
Files
(2.2 MB)
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Additional details
Related works
- Is supplement to
- https://github.com/pola-rs/polars/tree/py-0.17.3 (URL)