numpyencoder
Custom Python JSON encoder for handling Numpy data types.
Example Use:
from numpyencoder import NumpyEncoder
numpy_data = np.array([0, 1, 2, 3])
with open(json_file, 'w') as file:
json.dump(
numpy_data,
file,
indent=4,
sort_keys=True,
separators=(', ', ': '),
ensure_ascii=False,
cls=NumpyEncoder
)
Installation
pip install numpyencoder==0.3.2
1 maintainer
Metadata
1 maintainer
Release files for numpyencoder 0.3.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| numpyencoder-0.3.2.tar.gz | 3.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| numpyencoder-0.3.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 6.8 kB
Release files / numpyencoder-0.3.2.tar.gz
| Download URL | numpyencoder-0.3.2.tar.gz |
|---|---|
| Size | 3.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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No |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
Release files / numpyencoder-0.3.2-py3-none-any.whl
| Download URL | numpyencoder-0.3.2-py3-none-any.whl |
|---|---|
| Size | 3.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
