def activate():
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('numpy conversion',
template=original_converter)
for k,v in py2ri.registry.items():
if k is object:
continue
new_converter.py2ri.register(k, v)
for k,v in ri2ro.registry.items():
if k is object:
continue
new_converter.ri2ro.register(k, v)
for k,v in py2ro.registry.items():
if k is object:
continue
new_converter.py2ro.register(k, v)
for k,v in ri2py.registry.items():
if k is object:
continue
new_converter.ri2py.register(k, v)
conversion.set_conversion(new_converter)
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('numpy 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 activate():
global original_converter
# If module is already activated, there is nothing to do
if original_converter is not None:
return
original_converter = conversion.Converter(
'snapshot before pandas conversion', template=conversion.converter)
numpy2ri.activate()
new_converter = conversion.Converter('snapshot before pandas conversion',
template=conversion.converter)
numpy2ri.deactivate()
for k, v in py2ri.registry.items():
if k is object:
continue
new_converter.py2ri.register(k, v)
for k, v in ri2ro.registry.items():
if k is object:
continue
new_converter.ri2ro.register(k, v)
for k, v in py2ro.registry.items():
if k is object:
continue
new_converter.py2ro.register(k, v)
for k, v in ri2py.registry.items():
if k is object:
continue
new_converter.ri2py.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
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
def deactivate():
"""Deactivate the conversion described above if it is active."""
global original_converter
if original_converter is None:
return
conversion.set_conversion(original_converter)
original_converter = None
def deactivate():
"""Deactivate!"""
global original_converter
if original_converter is None:
return
conversion.set_conversion(original_converter)
original_converter = None
def activate():
"""
Activate conversion for :class:`~anndata.AnnData` objects
as well as :doc:`numpy` arrays and :class:`pandas.DataFrame`\ s
via ``rpy2.robjects.numpy2ri`` and ``rpy2.robjects.pandas2ri``.
"""
global original_converter
if original_converter is not None:
return
new_converter = full_converter()
original_converter = conversion.converter
conversion.set_conversion(new_converter)
def activate():
r"""
Activate conversion for :class:`~anndata.AnnData` objects
as well as :ref:`numpy:arrays` and :class:`pandas.DataFrame`\ s
via ``rpy2.robjects.numpy2ri`` and ``rpy2.robjects.pandas2ri``.
Does nothing if this is the active converter.
"""
global original_converter
if original_converter is not None:
return
new_converter = full_converter()
original_converter = conversion.converter
conversion.set_conversion(new_converter)
def activate():
"""
Activate conversion between sparse matrices from Scipy and R’s Matrix package.
Does nothing if this is the active conversion.
"""
global original_converter
if original_converter is not None:
return
original_converter = conversion.converter
numpy2ri.activate()
new_converter = conversion.Converter("scipy conversion",
template=conversion.converter)
numpy2ri.deactivate()
overlay_converter(converter, new_converter)
conversion.set_conversion(new_converter)
def activate():
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('numpy 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)