clean_nans.py

nan = float('nan')
def convert_nans(obj):
    if isinstance(obj, list):
        return [convert_nans(x) for x in obj]
    elif isinstance(obj, dict):
        return {k: convert_nans(v) for k, v in obj.iter()}
    elif obj is nan or obj is None:
        return None
    elif isinstance(obj, (str, float, int)):
        return obj
    else:
        raise ValueError('Unserializable value: {}'.format(obj))