rwrap 0.1.1

A thin wrapper around rpy2 with strong opinions on how data types should be converted.

rwrap

A thin wrapper around rpy2 with strong opinions on how data types should be converted. This enables easy usage of R packages from Python with no boilerplate code.

Warning: still work-in-progress, issues and PRs welcome

Installation

pip install rwrap

Usage

For example, accessing biomaRt can be as simple as follows:

from rwrap import biomaRt

snp_list = ['rs7329174', 'rs4948523', 'rs479445']
ensembl = biomaRt.useMart('ENSEMBL_MART_SNP', dataset='hsapiens_snp')

df = biomaRt.getBM(
    attributes=['refsnp_id', 'chr_name', 'chrom_start', 'consequence_type_tv'],
    filters='snp_filter', values=snp_list, mart=ensembl
)

print(df)  # pandas.DataFrame
#    refsnp_id  chr_name  chrom_start     consequence_type_tv
# 1   rs479445         1     60875960          intron_variant
# 2   rs479445         1     60875960  NMD_transcript_variant
# 3  rs4948523        10     58579338          intron_variant
# 4  rs7329174        13     40983974          intron_variant

Check the tests/ directory for more examples showing how to rewrite R scripts in Python.

Tests

A comprehensive test suite aims at providing stability and avoiding regressions. The examples in tests/ are validated using pytest.

Run tests as follows:

$ pytest tests/