Source code for dtale.cli.loaders.r_loader

from six import PY3

from dtale.app import show
from dtale.cli.clickutils import get_loader_options

"""
  IMPORTANT!!! These global variables are required for building any customized CLI loader.
  When build_loaders runs startup it will search for any modules containing the global variable LOADER_KEY.
"""
LOADER_KEY = "r"
LOADER_PROPS = [
    dict(name="path", help="path to R dataset file"),
    dict(name="dataset", help="the name of the dataset within your file"),
]


# IMPORTANT!!! This function is required if you would like to be able to use this loader from the back-end.
[docs]def show_loader(**kwargs): return show(data_loader=lambda: loader_func(**kwargs), **kwargs)
[docs]def loader_func(**kwargs): if not PY3: raise EnvironmentError("In order to use the R you must be on python3!") try: import rpy2.robjects as ro from rpy2.robjects.packages import importr from rpy2.robjects import pandas2ri from rpy2.robjects.conversion import localconverter except ImportError: raise ImportError("In order to use the R loader you must install rpy2!") pandas2ri.activate() base = importr("base") path = kwargs.pop("path") base.load(path) with localconverter(ro.default_converter + pandas2ri.converter): dataset = kwargs.pop("dataset", None) or base.ls()[0] df = ro.conversion.rpy2py(base.get(dataset)) return df
# IMPORTANT!!! This function is required for building any customized CLI loader.
[docs]def find_loader(kwargs): """ R dataset implementation of data loader which will return a function if any of the `click` options based on LOADER_KEY & LOADER_PROPS have been used, otherwise return None :param kwargs: Optional keyword arguments to be passed from `click` :return: data loader function for R dataset implementation """ r_opts = get_loader_options(LOADER_KEY, LOADER_PROPS, kwargs) if len([f for f in r_opts.values() if f]): def _r_loader(): return loader_func(**r_opts) return _r_loader return None