Comments (1)
This is now implemented for Frame.from_records()
; other constructors will follow the same conventions.
>>> records = [dict(a=1, b='2', c=3), dict(a=4, b='5', c=6)]
>>> dtypes = {'b': np.int64}
>>> f1 = sf.Frame.from_records(records, dtypes=dtypes)
>>> f1
<Frame>
<Index> a b c <<U1>
<Index>
0 1 2 3
1 4 5 6
<int64> <int64> <int64> <int64>
from static-frame.
Related Issues (20)
- Expose non-reductive `Series` methods on `Index` objects.
- Invalid index type "List[str]" for "Frame"
- Reimplement `container_util.matmul` for type sanity
- `sf.CallGuard.check`: decorator for run-time validatiion of type hints, other run-time constraints
- Using `Frame.sort_values` on axis with `IndexAutoFactory` reorders rows HOT 1
- In `WWW`, quote / sanitize URLs before passing to `urlopen` HOT 2
- Better error message for `sf.Frame.from_sql`
- Better error message when loading index/columns that have non-unique labels (i.e., specify index or columns)
- Enhance `to_json_split()` to encode type information as in NPZ encoding for better round-trip serialization
- Data type generic for Series too restrictive? HOT 2
- Pull TypeClinic out into its own package? HOT 1
- Support for generic type variables in loc, iloc, __getitem__, ... HOT 2
- `TypeClinic` support for callables
- `to_json_typed`, `from_json_typed`
- `json_typed` should not encode auto-incremented indices
- Update `mypy`, `pyright`
- 3.12 support
- Flaky tests HOT 8
- Docs - Print Frame Before Methods Are Executed HOT 1
- NPZ Performance review
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