Comments (3)
Other contexts where this issue appears is when using
df.filter(pl.col("a") == pl.col("b"))
or
df.select(pl.col("a") == pl.col("b"))
instead of df.select(pl.sum_horizontal(pl.all()))
.
from polars.
I think this may have already been fixed. #16830
Perhaps you can test the latest pre-release polars-1.0.0b1
to see if it still reproduces for you.
>>> pl.__version__
... df.select(pl.sum_horizontal(pl.all()))
# '1.0.0-beta.1'
# shape: (15_000, 1)
# ┌─────┐
# │ a │
# │ --- │
# │ i32 │
# ╞═════╡
# │ 2 │
# │ 2 │
# │ 2 │
# │ 2 │
# │ 2 │
# │ … │
# │ 3 │
# │ 3 │
# │ 3 │
# │ 3 │
# │ 3 │
# └─────┘
from polars.
Nice, thanks for the hint @cmdlineluser, this actually fixes the issue!
from polars.
Related Issues (20)
- Feature Request: add to `df.write_ndjson(json_columns: list[str])`, for columns to be decoded and written out as JSON HOT 2
- sql conbine CTE and cross join leads to internal error
- Expression/context evaluation bug HOT 3
- Expose `coalesce` option to asof joins
- Nested struct column is null after pivoting DataFrame HOT 1
- Panic when glob scanning with two files with different schemas HOT 3
- `quantile` fails on various numeric edge cases HOT 2
- Tracking Issue: utilize and track array metadata/statistics HOT 1
- `.last()` can't be used on LazyGroupBy HOT 2
- Panic when doing an invalid melt HOT 2
- Panic on DataFrame.pivot when using common aggregate function on string data HOT 2
- Read data with Float32 and Float64 have different outputs HOT 3
- `group_by` with `map_elements` result incorrectly gets wrapped in a list for lazyframes
- Support writing Parquet `distinct_count` statistics for all types
- Platform Dependent pyo3_runtime.PanicException HOT 3
- `.struct.field('*')` PanicException when used after `.list.to_struct()`
- DATE() SQL function always returns Date type, even with DateTime strftime format string HOT 2
- Add formatting option to `write_excel` for dataframe values HOT 1
- Performance scaling not working (at least as expected) HOT 6
- Parquet file writer uses non-compliant list element field name HOT 1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from polars.