/usr/lib/python3/dist-packages/rpy2/robjects/lib/dplyr.py is in python3-rpy2 2.8.5-1.
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from six import with_metaclass
from rpy2.robjects.packages import (importr, data,
Package, default_symbol_r2python,
default_symbol_check_after,
WeakPackage)
import warnings
with warnings.catch_warnings():
warnings.simplefilter("ignore")
dplyr = importr('dplyr', on_conflict="warn")
lazyeval = importr('lazyeval', on_conflict="warn")
dplyr = WeakPackage(dplyr._env,
dplyr.__rname__,
translation=dplyr._translation,
exported_names=dplyr._exported_names,
on_conflict="warn",
version=dplyr.__version__,
symbol_r2python=dplyr._symbol_r2python,
symbol_check_after=dplyr._symbol_check_after)
TARGET_VERSION = '0.4.3'
if dplyr.__version__ != TARGET_VERSION:
warnings.warn('This was designed againt dplyr version %s but you have %s' % (TARGET_VERSION, dplyr.__version__))
from rpy2 import robjects
StringInEnv = namedtuple('StringInEnv', 'string env')
def _fix_args_inenv(args, env):
args_inenv = list()
for v in args:
if isinstance(v, StringInEnv):
args_inenv.append(lazyeval.as_lazy(v.string, env=v.env))
else:
args_inenv.append(lazyeval.as_lazy(v, env=env))
return args_inenv
def _fix_kwargs_inenv(kwargs, env):
kwargs_inenv = dict()
for k,v in kwargs.items():
if isinstance(v, StringInEnv):
kwargs_inenv[k] = lazyeval.as_lazy(v.string, env=v.env)
else:
kwargs_inenv[k] = lazyeval.as_lazy(v, env=env)
return kwargs_inenv
def _wrap(rfunc, cls, env=robjects.globalenv):
def func(dataf, *args, **kwargs):
args_inenv = _fix_args_inenv(args, env)
kwargs_inenv = _fix_kwargs_inenv(kwargs, env)
if cls is None:
return type(dataf)(rfunc(dataf, *args_inenv, **kwargs_inenv))
else:
return cls(rfunc(dataf, *args_inenv, **kwargs_inenv))
return func
def _wrap2(rfunc, cls, env=robjects.globalenv):
def func(dataf_a, dataf_b, *args, **kwargs):
args_inenv = _fix_args_inenv(args, env)
kwargs_inenv = _fix_kwargs_inenv(kwargs, env)
if cls is None:
return type(dataf_a)(rfunc(dataf_a, dataf_b,
*args_inenv, **kwargs_inenv))
else:
return cls(rfunc(dataf_a, dataf_b,
*args_inenv, **kwargs_inenv))
return func
def _make_pipe(rfunc, cls, env=robjects.globalenv):
def func(*args, **kwargs):
def func2(obj):
args_inenv = _fix_args_inenv(args, env)
kwargs_inenv = _fix_kwargs_inenv(kwargs, env)
return cls(rfunc(obj, *args_inenv, **kwargs_inenv))
return func2
return func
def _make_pipe2(rfunc, cls, env=robjects.globalenv):
def func(*args, **kwargs):
def func2(obj_a, obj_b):
args_inenv = _fix_args_inenv(args, env)
kwargs_inenv = _fix_kwargs_inenv(kwargs, env)
return cls(rfunc(obj_a, obj_b, *args_inenv, **kwargs_inenv))
return func2
return func
class DataFrame(robjects.DataFrame):
""" DataFrame object extending the object of the same name in
`rpy2.robjects.vectors` with functionalities defined in the R
package `dplyr`."""
def __rshift__(self, other):
return other(self)
def copy_to(self, destination, name, **kwargs):
"""
- destination: database
- name: table name in the destination database
"""
res = dplyr.copy_to(destination, self, name=name)
return type(self)(res)
def collapse(self, *args, **kwargs):
"""
Call the function `collapse` in the R package `dplyr`.
"""
cls = type(self)
return cls(dplyr.collapse(self, *args, **kwargs))
def collect(self, *args, **kwargs):
"""Call the function `collect` in the R package `dplyr`."""
cls = type(self)
return cls(dplyr.collect(self, *args, **kwargs))
class GroupedDataFrame(DataFrame):
pass
DataFrame.arrange = _wrap(dplyr.arrange_, None)
DataFrame.distinct = _wrap(dplyr.distinct_, None)
DataFrame.mutate = _wrap(dplyr.mutate_, None)
DataFrame.transmute = _wrap(dplyr.transmute_, None)
DataFrame.filter = _wrap(dplyr.filter_, None)
DataFrame.select = _wrap(dplyr.select_, None)
DataFrame.group_by = _wrap(dplyr.group_by_, GroupedDataFrame)
DataFrame.distinct = _wrap(dplyr.distinct_, None)
DataFrame.inner_join = _wrap2(dplyr.inner_join, None)
DataFrame.left_join = _wrap2(dplyr.left_join, None)
DataFrame.right_join = _wrap2(dplyr.right_join, None)
DataFrame.full_join = _wrap2(dplyr.full_join, None)
DataFrame.semi_join = _wrap2(dplyr.semi_join, None)
DataFrame.anti_join = _wrap2(dplyr.anti_join, None)
DataFrame.union = _wrap2(dplyr.union, None)
DataFrame.intersect = _wrap2(dplyr.intersect, None)
DataFrame.setdiff = _wrap2(dplyr.setdiff, None)
DataFrame.sample_n = _wrap(dplyr.sample_n, None)
DataFrame.sample_frac = _wrap(dplyr.sample_frac, None)
DataFrame.slice = _wrap(dplyr.slice_, None)
DataFrame.count = _wrap(dplyr.count_, None)
DataFrame.tally = _wrap(dplyr.tally, None)
GroupedDataFrame.summarize = _wrap(dplyr.summarize_, DataFrame)
GroupedDataFrame.summarise = GroupedDataFrame.summarize
GroupedDataFrame.ungroup = _wrap(dplyr.ungroup, DataFrame)
arrange = _make_pipe(dplyr.arrange_, DataFrame)
count = _make_pipe(dplyr.count_, DataFrame)
distinct = _make_pipe(dplyr.distinct_, DataFrame)
mutate = _make_pipe(dplyr.mutate_, DataFrame)
transmute = _make_pipe(dplyr.transmute_, DataFrame)
filter = _make_pipe(dplyr.filter_, DataFrame)
select = _make_pipe(dplyr.select_, DataFrame)
group_by = _make_pipe(dplyr.group_by_, DataFrame)
summarize = _make_pipe(dplyr.summarize_, DataFrame)
summarise = summarize
distinct = _make_pipe(dplyr.distinct_, DataFrame)
inner_join = _make_pipe2(dplyr.inner_join, DataFrame)
left_join = _make_pipe2(dplyr.left_join, DataFrame)
right_join = _make_pipe2(dplyr.right_join, DataFrame)
full_join = _make_pipe2(dplyr.full_join, DataFrame)
semi_join = _make_pipe2(dplyr.semi_join, DataFrame)
anti_join = _make_pipe2(dplyr.anti_join, DataFrame)
union = _make_pipe2(dplyr.union, DataFrame)
intersect = _make_pipe2(dplyr.intersect, DataFrame)
setdiff = _make_pipe2(dplyr.setdiff, DataFrame)
sample_n = _make_pipe(dplyr.sample_n, DataFrame)
sample_frac = _make_pipe(dplyr.sample_frac, DataFrame)
slice = _make_pipe(dplyr.slice_, DataFrame)
tally = _make_pipe(dplyr.tally, DataFrame)
# family of functions 'src'
class DataSource(robjects.ListVector):
""" Source of data tables (e.g., a schema in a relational database). """
@property
def tablenames(self):
""" Call the R function dplyr::src_tbls() and return a vector
of table names."""
return tuple(dplyr.src_tbls(self))
def get_table(self, name):
""" "Get" table from a source (R dplyr's function `tbl`). """
return DataFrame(tbl(self, name))
src = dplyr.src
src_desc = dplyr.src_desc
src_tbls = dplyr.src_tbls
src_local = dplyr.src_local
src_df = dplyr.src_df
src_dt = dplyr.src_dt
def src_sql(*args, **kwargs):
res = dplyr.src_sql(*args, **kwargs)
return DataSource(res)
def src_mysql(*args, **kwargs):
res = dplyr.src_mysql(*args, **kwargs)
return DataSource(res)
def src_postgres(*args, **kwargs):
res = dplyr.src_postgres(*args, **kwargs)
return DataSource(res)
def src_sqlite(*args, **kwargs):
res = dplyr.src_sqlite(*args, **kwargs)
return DataSource(res)
# family of functions 'tbl'
tbl = dplyr.tbl
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