AIRR Community Data Representation Standard reference library for antibody and TCR sequencing data.
Install in the usual manner from PyPI:
> pip3 install airr --user
Or from the downloaded source code directory:
> python3 setup.py install --user
Reading AIRR formatted files
The airr package contains functions to read and write AIRR data files as either iterables or pandas data frames. The usage is straightforward, as the file format is a typical tab delimited file, but the package performs some additional validation and type conversion beyond using a standard CSV reader.
import airr # Create an iteratable that returns a dictionary for each row reader = airr.read_rearrangement('input.tsv') # Load the entire file into a pandas data frame df = airr.load_rearrangement('input.tsv')
Writing AIRR formatted files
Similar to the read operations, write functions are provided for either creating a writer class to perform row-wise output or writing the entire contents of a pandas data frame to a file. Again, usage is straightforward with the airr output functions simply performing some type conversion and field ordering operations.
import airr # Create a writer class for iterative row output writer = airr.create_rearrangement('output.tsv') for row in reader: writer.write(row) # Write an entire pandas data frame to a file airr.dump_rearrangement(df, 'file.tsv')
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size||File type||Python version||Upload date||Hashes|
|Filename, size airr-1.2.1.tar.gz (35.3 kB)||File type Source||Python version None||Upload date||Hashes View hashes|