%R magic no longer works in IPython or Jupyter following update to Canopy Ver 1.7.4.3348 - r

Question

Previously %R and %%R magics were working in IPython and Jupyter python notebooks.
The R terminal version is:
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-apple-darwin13.4.0 (64-bit)
After upgrading to Version 1.7.4.3348 in Enthought Canopy, the notebooks and IPython no longer work. I have tried reinstalling following Installing RKernel and http://irkernel.github.io/installation/, which worked before. I run the command to load the R-extension as per
%load_ext rpy2.ipython
I get the error message as follows:
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-2-691c6d73b073> in <module>()
----> 1 get_ipython().magic(u'load_ext rpy2.ipython')
/Users/Llewelyn_home/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/IPython/core/interactiveshell.pyc in magic(self, arg_s)
2161 magic_name, _, magic_arg_s = arg_s.partition(' ')
2162 magic_name = magic_name.lstrip(prefilter.ESC_MAGIC)
-> 2163 return self.run_line_magic(magic_name, magic_arg_s)
2164
2165 #-------------------------------------------------------------------------
/Users/Llewelyn_home/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/IPython/core/interactiveshell.pyc in run_line_magic(self, magic_name, line)
2082 kwargs['local_ns'] = sys._getframe(stack_depth).f_locals
2083 with self.builtin_trap:
-> 2084 result = fn(*args,**kwargs)
2085 return result
2086
<decorator-gen-64> in load_ext(self, module_str)
/Users/Llewelyn_home/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/IPython/core/magic.pyc in <lambda>(f, *a, **k)
191 # but it's overkill for just that one bit of state.
192 def magic_deco(arg):
--> 193 call = lambda f, *a, **k: f(*a, **k)
194
195 if callable(arg):
/Users/Llewelyn_home/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/IPython/core/magics/extension.pyc in load_ext(self, module_str)
64 if not module_str:
65 raise UsageError('Missing module name.')
---> 66 res = self.shell.extension_manager.load_extension(module_str)
67
68 if res == 'already loaded':
/Users/Llewelyn_home/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/IPython/core/extensions.pyc in load_extension(self, module_str)
82 if module_str not in sys.modules:
83 with prepended_to_syspath(self.ipython_extension_dir):
---> 84 __import__(module_str)
85 mod = sys.modules[module_str]
86 if self._call_load_ipython_extension(mod):
/Users/Llewelyn_home/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/rpy2/ipython/__init__.py in <module>()
----> 1 from .rmagic import load_ipython_extension
/Users/Llewelyn_home/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/rpy2/ipython/rmagic.py in <module>()
57 template_converter = ro.conversion.converter
58 try:
---> 59 from rpy2.robjects import pandas2ri as baseconversion
60 template_converter = template_converter + baseconversion.converter
61 except ImportError:
/Users/Llewelyn_home/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/rpy2/robjects/pandas2ri.py in <module>()
7 INTSXP)
8
----> 9 from pandas.core.frame import DataFrame as PandasDataFrame
10 from pandas.core.series import Series as PandasSeries
11 from pandas.core.index import Index as PandasIndex
/Users/Llewelyn_home/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/pandas/__init__.py in <module>()
20
21 # numpy compat
---> 22 from pandas.compat.numpy_compat import *
23
24 try:
/Users/Llewelyn_home/Library/Enthought/Canopy_64bit/User/lib/python2.7/site-packages/pandas/compat/numpy_compat.py in <module>()
13
14 # numpy versioning
---> 15 _np_version = np.version.short_version
16 _np_version_under1p8 = LooseVersion(_np_version) < '1.8'
17 _np_version_under1p9 = LooseVersion(_np_version) < '1.9'
AttributeError: 'module' object has no attribute 'version'
Could it be related to Canopy version of numpy being listed as 1.10.4-1 and the np.version result being 1.11.1 (based on error message)? Any suggestions gratefully received. PS. R works in the console still, plus in terminal and in Jupyter with an R kernel...

Answer 1

The support crew at Enthought examined the version of numpy, then pandas. Reinstalling both did not solve the problem. The unexplained resolution occurred from the pip install theano --upgrade command on the Canopy Terminal. Logging this error as an unexplained issue with %R but with the strong indication that it is about dependency version.