rpy2.robjects.lib.grid — rpy2 3.5.13 documentation (original) (raw)
""" Mapping of the R library "grid" for graphics.
The R library provides a low-level coordinate system and graphic primitives to built visualizations.
"""
import warnings import rpy2.rinterface as rinterface import rpy2.robjects as robjects import rpy2.robjects.conversion as conversion from rpy2.robjects.packages import importr, WeakPackage
NULL = robjects.NULL
grid = importr('grid')
grid = WeakPackage(grid._env, grid.rname, translation=grid._translation, exported_names=grid._exported_names, on_conflict="warn", version=grid.version, symbol_r2python=grid._symbol_r2python, symbol_resolve=grid._symbol_resolve)
original_converter = None converter = conversion.Converter('original grid conversion') py2rpy = converter.py2rpy rpy2py = converter.rpy2py
grid_env = robjects.baseenv'as.environment'
layout = grid.grid_layout newpage = grid.grid_newpage grill = grid.grid_grill edit = grid.grid_edit get = grid.grid_get remove = grid.grid_remove add = grid.grid_add xaxis = grid.grid_xaxis yaxis = grid.grid_yaxis
class BaseGrid(robjects.RObject):
@classmethod
def r(cls, *args, **kwargs):
""" Constructor (as it looks like on the R side)."""
res = cls._r_constructor(*args, **kwargs)
return cls(res)
class Unit(BaseGrid): """ Vector of unit values (as in R's grid package) """ _r_constructor = grid_env['unit']
unit = Unit.r
class Gpar(BaseGrid): """ Graphical parameters """ _r_constructor = grid_env['gpar'] _get_gpar = grid_env['get.gpar']
def get(self, names=None):
return self._get_gpar(names)
gpar = Gpar.r
[docs]class Grob(BaseGrid): """ Graphical object """ _r_constructor = grid_env['grob'] _draw = grid_env['grid.draw']
[docs] def draw(self, recording=True): """ Draw a graphical object (calling the R function grid::grid.raw())""" self._draw(self, recording=recording)
grob = Grob.r
class Rect(Grob): _r_constructor = grid_env['rectGrob']
rect = Rect.r
class Lines(Grob): _r_constructor = grid_env['linesGrob']
lines = Lines.r
class Circle(Grob): _r_constructor = grid_env['circleGrob']
circle = Circle.r
class Points(Grob): _r_constructor = grid_env['pointsGrob']
points = Points.r
class Text(Grob): _r_constructor = grid_env['textGrob']
text = Text.r
[docs]class GTree(Grob): """ gTree """ _gtree = grid_env['gTree'] _grobtree = grid_env['grobTree']
[docs] @classmethod def gtree(cls, **kwargs): """ Constructor (uses the R function grid::gTree())""" res = cls._gtree(**kwargs) return cls(res)
[docs] @classmethod def grobtree(cls, **kwargs): """ Constructor (uses the R function grid::grobTree())""" res = cls._grobtree(**kwargs) return cls(res)
class Axis(GTree): pass
class XAxis(Axis): _xaxis = xaxis _xaxisgrob = grid.xaxisGrob
@classmethod
def xaxis(cls, **kwargs):
""" Constructor (uses the R function grid::xaxis())"""
res = cls._xaxis(**kwargs)
return cls(res)
@classmethod
def xaxisgrob(cls, **kwargs):
""" Constructor (uses the R function grid::xaxisgrob())"""
res = cls._xaxisgrob(**kwargs)
return cls(res)
class YAxis(Axis): _yaxis = yaxis _yaxisgrob = grid.yaxisGrob
@classmethod
def yaxis(cls, **kwargs):
""" Constructor (uses the R function grid::yaxis())"""
res = cls._yaxis(**kwargs)
return cls(res)
@classmethod
def yaxisgrob(cls, **kwargs):
""" Constructor (uses the R function grid::yaxisgrob())"""
res = cls._yaxisgrob(**kwargs)
return cls(res)
[docs]class Viewport(robjects.RObject): """ Drawing context. Viewports can be thought of as nodes in a scene graph. """
_pushviewport = grid_env['pushViewport']
_popviewport = grid_env['popViewport']
_current = grid_env['current.viewport']
_plotviewport = grid_env['plotViewport']
_downviewport = grid_env['downViewport']
_seek = grid_env['seekViewport']
_upviewport = grid_env['upViewport']
_viewport = grid_env['viewport']
[docs] def push(self, recording=True): self._pushviewport(self, recording=recording)
[docs] @classmethod def pop(cls, n): """ Pop n viewports from the stack. """ cls._popviewport(n)
[docs] @classmethod def current(cls): """ Return the current viewport in the stack. """ cls._current()
[docs] @classmethod def default(cls, **kwargs): cls._plotviewport(**kwargs)
[docs] @classmethod def down(cls, name, strict=False, recording=True): """ Return the number of Viewports it went down """ cls._downviewport(name, strict=strict, recording=recording)
[docs] @classmethod def seek(cls, name, recording=True): """ Seek and return a Viewport given its name """ cls._seek(name, recording=recording)
[docs] @classmethod def up(cls, n, recording=True): """ Go up n viewports """ cls._downviewport(n, recording=recording)
[docs] @classmethod def viewport(cls, **kwargs): """ Constructor: create a Viewport """ res = cls._viewport(**kwargs) res = cls(res) return res
viewport = Viewport.viewport
_grid_dict = { 'gpar': Gpar, 'grob': Grob, 'gTree': GTree, 'unit': Unit, 'xaxis': XAxis, 'yaxis': YAxis, 'viewport': Viewport }
original_py2rpy = None original_rpy2py = None
TODO: remove after v3.5.0
def grid_rpy2py(robj): warnings.warn('This function is deprecated.', category=DeprecationWarning) pyobj = original_rpy2py(robj)
if not isinstance(pyobj, robjects.RS4):
rcls = pyobj.rclass
if rcls is NULL:
rcls = (None, )
try:
cls = _grid_dict[rcls[0]]
pyobj = cls(pyobj)
except KeyError:
pass
return pyobj
converter._rpy2py_nc_map.update( { rinterface.FloatSexpVector: conversion.NameClassMap( lambda obj: robjects.default_converter.rpy2py(obj), {'unit': Unit.r} ), rinterface.ListSexpVector: conversion.NameClassMap( lambda obj: robjects.default_converter.rpy2py(obj), {'gpar': Gpar.r, 'grob': Grob.r} ), } )
def activate(): warnings.warn('The global conversion available with activate() ' 'is deprecated and will be removed in the next ' 'major release. Use a local converter.', category=DeprecationWarning) global original_converter # If module is already activated, there is nothing to do. if original_converter is not None: return
original_converter = conversion.converter
new_converter = conversion.Converter('grid conversion',
template=original_converter)
for k, v in py2rpy.registry.items():
if k is object:
continue
new_converter.py2rpy.register(k, v)
for k, v in rpy2py.registry.items():
if k is object:
continue
new_converter.rpy2py.register(k, v)
conversion.set_conversion(new_converter)
def deactivate(): global original_converter
# If module has never been activated or already deactivated,
# there is nothing to do
if original_converter is None:
return
conversion.set_conversion(original_converter)
original_converter = None