jsonpickle#

jsonpickle(obj, filename=None, tostring=False, **kwargs)[source]#

Save any Python object to a JSON using jsonpickle.

Wrapper for the jsonpickle library: https://jsonpickle.github.io/

Note: unlike regular pickle, this is not guaranteed to exactly restore the original object. For example, at the time of writing it does not support pandas dataframes with mixed-dtype columns. If this sort of thing does not sound like it would be an issue for you, please proceed!

Parameters:

obj (any) – the object to pickle as a JSON
= (filename) –
tostring (bool) – whether to return a string (rather than the JSONified Python object)
kwargs (dict) – passed to jsonpickle.pickler.Pickler()

Returns:

Either a Python object for the JSON, a string, or save to file

Examples:

# Create data
df1  = sc.dataframe(a=[1,2,3], b=['a','b','c'])

# Convert to JSON and read back
json = sc.jsonpickle(df1)
df2  = sc.jsonunpickle(json)

# Save to JSON and load back
sc.jsonpickle(df1, 'my-data.json')
df3  = sc.jsonunpickle('my-data.json')

New in version 3.1.0: “filename” argument