Comments (2)
Some struct methods were recently added to .name
which could help.
df.with_columns(
pl.col("equipment").name.prefix_fields("equipment_"),
pl.col("sensor").name.prefix_fields("sensor_")
).unnest("equipment", "sensor")
Also related: #12353
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Thanks @cmdlineluser that works for me
from polars.
Related Issues (20)
- Different join behavior when streaming during join on different types HOT 1
- Allow remapping of hive partitioning columns (or physical parquet columns) before they're unified.
- DataFrame.vstack() deadlocks in asyncio background task HOT 2
- Panic when calling `top_k` on list-of-lists type
- Scan parquet should allow manual schema overrides (and/or should treat any `list[null]` encountered as a type to be resolved at query execution time?)
- Support sorting list-of-lists column
- Change `dt.week()` to be more consistent with `dt.year()` (Gregorian Year) HOT 1
- Deserializing list-of-null data leads to incorrect results
- Cannot instantiate Series of type Struct(List(UInt64)) with large integer value
- Aliasing Columns Names in Map_Element () with Dataclass Fields HOT 3
- Parallel string operations HOT 1
- add option for `to_dummies` to respect nulls
- `.mean_horizontal()` does not work with `pl.datetime` (but `.mean()` does) HOT 1
- floor_div runtime error for i64, u32 and u64 HOT 1
- Support No-op round() on Int columns HOT 1
- `sort_by("col", nulls_last=True).over("other")` does not put nulls at the end HOT 2
- Native `delta` reader and writer using delta-kernel-rs
- ComputeError: could not append value when creating Polars DataFrame HOT 4
- `pl.Expr.list.get` returns erroneous results after version `0.20.19` HOT 3
- Implement (de)serialization of Series/DataFrames using IPC HOT 3
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