UK Biobank data processing library
Project description
ukbparse is a Python library for pre-processing of UK BioBank data.
Installation
Install ukbparse via pip:
pip install ukbparse
Comprehensive documentation does not yet exist.
Introductory notebook
The ukbparse_demo command will start a Jupyter Notebook which introduces the main features provided by ukbparse. To run it, you need to install a few additional dependencies:
pip install ukbparse[demo]
You can then start the demo by running ukbparse_demo.
Usage
General usage is as follows:
ukbparse [options] output.tsv input1.tsv input2.tsv
You can get information on all of the options by typing ukbparse --help.
Options can be specified on the command line, and/or stored in a configuration file. For example, the options in the following command line:
ukbparse \ --overwrite \ --import_all \ --log_file log.txt \ --icd10_map_file icd_codes.tsv \ --category 10 \ --category 11 \ output.tsv input1.tsv input2.tsv
Could be stored in a configuration file config.txt:
overwrite import_all log_file log.txt icd10_map_file icd_codes.tsv category 10 category 11
And then executed as follows:
ukbparse -cfg config.txt output.tsv input1.tsv input2.tsv
Customising
ukbparse contains a large number of built-in rules which have been specifically written to pre-process UK BioBank data variables. These rules are stored in the following files:
ukbparse/data/variables.tsv: Cleaning rules for individual variables
ukbparse/data/datacodings.tsv: Cleaning rules for data codings
ukbparse/data/types.tsv: Cleaning rules for specific types
ukbparse/data/processing.tsv: Processing steps
You can customise or replace these files as you see fit. You can also pass your own versions of these files to ukbparse via the --variable_file, --datacoding_file, --type_file and --processing_file command-line options respectively.
The variables.tsv file defines all of the variables that ukbparse is aware of. If your UK BioBank data set contains variables which are not listed in this file, you may wish to generate your own version - you can do so by following these steps:
Use the ukbconv utility (available through the BioBank Data showcase) to generate a HTML file describing all of the variables in your data set, and data codings used by them.
Use the ukbparse_htmlparse command to convert this html file into variable and data coding “base” files, which just contain the meta-data for each variable/data coding.
Code up your custom cleaning rules for each variable and data coding, in the same format as can be seen in the ukbparse/data/ directory. For data codings, create these flies:
datacodings_navalues.tsv: contains NA value replacement rules
datacodings_recoding.tsv: contains categorical recoding rules
And for variables, create these files:
variables_navalues.tsv: Contains NA value replacement rules
variables_recoding.tsv: Contains categorical recoding rules
variables_clean.tsv: Contains variable-specific cleaning functions
variables_parentvalues.tsv: Contains child value replacement rules.
Use the ukbparse_join command to generate the final variable and data coding tables from your base files, e.g.:
ukbparse_join final_variables_table.tsv \ variables_base.tsv \ variables_navalues.tsv \ variables_recoding.tsv \ variables_parentvalues.tsv \ variables_clean.tsv ukbparse_join final_datacodings.tsv \ datacodings_base.tsv \ datacodings_navalues.tsv \ datacodings_recoding.tsv
Tests
To run the test suite, you need to install some additional dependencies:
pip install ukbparse[test]
Then you can run the test suite using pytest:
pytest
Citing
If you would like to cite ukbparse, please refer to its Zenodo page.
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