parserR2py

[jsnagai]

import rpy2.robjects as ro
from rpy2.robjects.packages import importr
import rpy2.robjects.packages as rpackages
from rpy2.robjects import pandas2ri

def parse_CrossTalkeR(path):
	"""
	Parameters
    ----------
    path: Location to the RDS object generated by CrossTalkeR 
    
    Returns
    -------
    tbldata : DataFrame Containing all the Results from CrossTalkeR

    Notes
    -----
    This algorithm was proposed in [1]_ and [2]_.

	"""
	d = {'package.dependencies': 'package_dot_dependencies',
     'package_dependencies': 'package_uscore_dependencies'}
	ctker = importr('CrossTalkeR', 
                   robject_translations = d)
	readRDS = ro.r['readRDS']
	df = readRDS(path)
	phdat = df.slots['tables']
	tbldata = {}
	for i in enumerate(phdat.names):
	    with (ro.default_converter + pandas2ri.converter).context():
	        tbldata[i[1]] = pandas2ri.conversion.get_conversion().rpy2py(phdat[i[0]])
	return(tbldata)