Skip to main content

No project description provided

Project description

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


  • fix bug: respect ordering when serializing/deserializing ndarrays


  • 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

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Filename, size & hash SHA256 hash help File type Python version Upload date
numpyson-0.4.tar.gz (5.9 kB) Copy SHA256 hash SHA256 Source None

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page