prelude-parser 0.6.0

Creator: bradpython12

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Description:

preludeparser 0.6.0

Prelude Parser





Parses XML files exported from Prelude EDC into formats Python can use.
Installation
pip install prelude-parser

Optionally the pandas extra can be installed to parse to a Pandas DataFrame
Note: Pandas only supports Python 3.9+ so this is not available in Python 3.8.
pip install prelude-parser[pandas]

Optionally the polars extra can be installed to parse to a Polars DataFrame
pip install prelude-parser[polars]

All extras can be install with
pip install prelude-parser[all]

Usage
Parse a Prelude flat XML file to a Python dictionary.
from prelude_parser import parse_to_dict
data = parse_to_dict("physical_examination.xml")

Parse a Prelude flat XML file into a list of Python class. The name of the class is taken from the
form name node in the XML file converted to pascal case. For example a <physical_examination> node
will result in a PhysicalExamination class being created.
from prelude_parser import parse_to_classes
data = parse_to_classes("physical_examination.xml")

Parse a Prelude flat XML file into a Pandas DataFrame. This works for Prelude flat XML files that
were exported with the "write tables to seperate files" option. In order to use this option
prelude-parser either needs to be installed with the pandas extra or the all extras.
from prelude_parser.pandas import to_dataframe
df = to_dataframe("physical_examination.xml")

Parse a Prelude flat XML file into a Polars DataFrame. This works for Prelude flat XML files that
were exported with the "write tables to seperate files" option. In order to use this option
prelude-parser either needs to be installed with the polars extra or the all extras.
from prelude_parser.polars import to_dataframe
df = to_dataframe("physical_examination.xml")

Contributing
Contributions to this project are welcome. If you are interesting in contributing please see our contributing guide

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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