Comments (1)
import polars
polars.version
'0.20.23'
import pyarrow
pyarrow.version
'16.1.0'
from polars.
Related Issues (20)
- `pl.lit(None, dtype=pl.Struct({"a": pl.Int64()}))` gives `{'a': None}`, not `None` HOT 1
- Support equality operation on nested Array types
- Unordered enum data type HOT 4
- Support interval expressions in Python SQL Context
- minimal `dyn int` when reading from python HOT 1
- Panic when casting Array of Categoricals to Array of String HOT 2
- dt.epoch() is much slower than truediv() for the same operations HOT 1
- PanicException when using collect(streaming=True) on two LazyFrames from `scan_parquet()` calls.
- Allow Zero width no-break space in float parser HOT 7
- Alternative method 10x faster than dt.offset_by() HOT 2
- Sampling with groupby HOT 1
- Sample by Group HOT 4
- Add `make test-ci` to (mostly) replicate CI tests HOT 4
- Allow use of ParquetWriter, ParquetReader w/o compiling all compression deps (WASM support) HOT 8
- rename π to selected_columns and σ to filters in logal graph dot? HOT 4
- Add `polars.Expr.list.drop_nans()` HOT 2
- `read_parquet` don't recognize OSS url scheme HOT 1
- Not clear if Parquet statistics are used when filter applied HOT 2
- `bottom_k` should not include nulls if the column contains at least `k` valid elements
- Construct CsvReader from bytestream using CsvReadOptions
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from polars.