numpyson
cross py2/py3 python object serializer, currently using and extending jsonpickle to dump/load python objects with a primary focus on numpy/pandas types.
The main purpose of numpyson is to allow dumping under a python3 interpreter and loading under python2 and vice versa. This is a use case that is not covered by current serializers AFAIK.
quick simple API example:
import numpyson import numpy s = numpyson.dumps(numpy.array([1,2,3])) data = numpyjson.loads(s) assert data.to_list() == [1,2,3]
Currently supported:
numpy arrays and some other numpy types
pandas.TimeSeries
pandas.DataFrame
pandas.DateTimeIndex
pandas.Int64Index
pandas.Float64Index
pandas.Index
nested python data structures with the above types
0.4
fix bug: respect ordering when serializing/deserializing ndarrays
0.3
depend on pandas>=0.13.1 because we are using Float64Index which does not exist in pandas-0.12
support numpy.float64 and numpy.int64
1 maintainer
Metadata
1 maintainer
Release files for numpyson 0.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| numpyson-0.4.tar.gz | 5.9 kB | Without provenance | Details for numpyson-0.4.tar.gz |
Release files / numpyson-0.4.tar.gz
| Download URL | numpyson-0.4.tar.gz |
|---|---|
| Size | 5.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
f192ee4206bedc5bf71ad02edc0d5bd0cd10a521b4596dafb1cea9528a3888d4
|
|
BLAKE2b-256 checksum How to use checksums |
8e72dde1cac188714e734c4b8a7517665c7cc486dc48911cb836fa237cc2e613
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Security for numpyson 0.4
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
