django-polars
Like django-pandas but way faster, with support for parallel DataFrame processing and larger-than-memory DataFrame processing.
Uses polars under the hood.
Usage
Head over to test code in tests/test_*.
Conceptually polars differs from pandas.
E.g. polars does not have a multi-index/index
and a different behavior w.r.t. missing data.
As a consequence django-polars will not be API-compatible with django-pandas.
Refer to the migration from pandas user guide for more information.
Limitations
- Reading a
DataFrameviadjango_polars.io.read_frame(...)with an asynchronous connection is unstable ATM.
Contribution
We appreciate contributions.
Metadata
Release files for django-polars 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| django_polars-0.2.0.tar.gz | 5.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| django_polars-0.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 9.2 kB
Release files / django_polars-0.2.0.tar.gz
| Download URL | django_polars-0.2.0.tar.gz |
|---|---|
| Size | 5.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/4.0.2 CPython/3.12.3
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Release files / django_polars-0.2.0-py3-none-any.whl
| Download URL | django_polars-0.2.0-py3-none-any.whl |
|---|---|
| Size | 3.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
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| Uploaded via |
twine/4.0.2 CPython/3.12.3
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