data.wrangling.json

Data - Wrangling - json

JSONEncoder (JSONEncoder)

data serializer for json

default(self, obj)

default serializer

Source code in dietbox/data/wrangling/json.py

def default(self, obj):
    """
    default serializer
    """
    if isinstance(obj, (datetime.datetime, datetime.date)):
        return {"__type__": "__datetime__", "datetime": obj.isoformat()}

    return json.JSONEncoder.default(self, obj)

NumpyEncoder (JSONEncoder)

default(self, obj)

Implement this method in a subclass such that it returns a serializable object for o, or calls the base implementation (to raise a TypeError).

For example, to support arbitrary iterators, you could implement default like this::

def default(self, o):
    try:
        iterable = iter(o)
    except TypeError:
        pass
    else:
        return list(iterable)
    return JSONEncoder.default(self, o)

Source code in dietbox/data/wrangling/json.py

def default(self, obj):
    if isinstance(obj, np.ndarray):
        return obj.tolist()
    return json.JSONEncoder.default(self, obj)

decode(obj)

decode decodes the JSONEncoder results

Source code in dietbox/data/wrangling/json.py

def decode(obj):
    """
    decode decodes the JSONEncoder results
    """
    if "__type__" in obj:
        if obj["__type__"] == "__datetime__":
            return dateutil.parser.parse(obj["datetime"])
    return obj

isoencode(obj)

isoencode decodes many different objects such as np.bool -> regular bool

Source code in dietbox/data/wrangling/json.py

def isoencode(obj):
    """
    isoencode decodes many different objects such as
    np.bool -> regular bool
    """
    if isinstance(obj, datetime.datetime):
        return obj.isoformat()
    if isinstance(obj, datetime.date):
        return obj.isoformat()
    if isinstance(obj, np.ndarray):
        return obj.tolist()
    if isinstance(obj, np.int64):
        return int(obj)
    if isinstance(obj, np.float64):
        return float(obj)
    if isinstance(obj, np.bool_):
        return bool(obj)