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