serializor 1.0.1

Serialization for common Python objects.

Serialization for common Python objects.

Created to be used in a project, this package is published to github for ease of management and installation across different modules.

Features

This package is designed to serialize common Python object, and deserializes it back to the original (or compatiable) Python data type.

Supported data types:

• string: str -> deserialize to str
• float: float & numpy.float_ -> deserialize to float
• integer: int & numpy.int & numpy.uint -> deserialize to int
• boolean: bool & numpy.bool_ -> deserialize to bool
• None: None & numpy.nan -> deserialize to None
• datetime: datetime.datetime, pandas.Timestamp & time.struct_time -> deserialize to datetime.datetime
• datetime64: numpy.datetime64 -> deserialize to numpy.datetime64
• date: datetime.date -> deserialize to datetime.date
• time: datetime.time -> deserialize to datetime.time
• timedelta: datetime.timedelta & pandas.Timedelta -> deserialize to datetime.timedelta
• timedelta64: numpy.timedelta64 -> deserialize to numpy.timedelta64
• decimal: decimal.Decimal -> deserialize to decimal.Decimal
• complex: complex & numpy.complex_ -> deserialize to complex
• bytes: bytes, bytearray & numpy.bytes_ -> deserialize to bytes
• list: list of above supported data types -> deserialize to list
• tuple: tuple of above supported data types -> deserialize to tuple
• set: set & frozenset of above supported data types -> deserialize to set
• dict: dict of above supported data types -> deserialize to dict
• numpy.ndarray: numpy.ndarray of above supported data types -> deserialize to np.ndarray
• pandas.Series: pandas.Series of above supported data types -> deserialize to pandas.Series
• pandas.DataFrame: pandas.DataFrame of above supported data types -> deserialize to pandas.DataFrame

Installation

Install from PyPi

pip install serializor

Install from github

pip install git+https://github.com/AresJef/Serializor.git

Compatibility

Supports Python 3.10 and above.

Acknowledgements

serializor is based on several open-source repositories.

• numpy
• orjson
• pandas