Metadata-Version: 2.1
Name: parseUALF
Version: 0.0.1
Summary: Python class that allows for a python requests response received in the universal ascii lightning format to be parsed to a pandas dataframe object.
Home-page: https://github.com/hildeha/UAFL_dataframe_parser
Author: Hilde Haland
Author-email: hilde.tveit.haland@gmail.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE

# Data Parser for Universal ascii lightning format âš¡
<br>
Python class that allows for a python requests response received in the universal ascii lightning format to be parsed to a pandas dataframe object.
<br><br>

Publicly available lightning data though MET Norway and Swedish SMHI are returned in the universal ascii lightning format. <br>The purpose of this Python project is to easily parse that data into a pandas dataframe (and numpy array).
<br>

PyPI link: https://pypi.org/project/UALF-dataframe-parser/0.0.1/

<br>
A visualisation of the format can be found on MET Norway's Frost API resource pages:

![ualf](https://frost.met.no/images/concepts/UALF_format.png)


