from StringIO import StringIO import numpy as np from IPython.testing.decorators import skip_without from IPython.extensions import rmagic from rpy2 import rinterface import nose.tools as nt ip = get_ipython() ip.magic('load_ext rmagic') def test_push(): rm = rmagic.RMagics(ip) ip.push({'X':np.arange(5), 'Y':np.array([3,5,4,6,7])}) ip.run_line_magic('Rpush', 'X Y') np.testing.assert_almost_equal(np.asarray(rm.r('X')), ip.user_ns['X']) np.testing.assert_almost_equal(np.asarray(rm.r('Y')), ip.user_ns['Y']) def test_push_localscope(): """Test that Rpush looks for variables in the local scope first.""" ip.run_cell(''' def rmagic_addone(u): %Rpush u %R result = u+1 %Rpull result return result[0] u = 0 result = rmagic_addone(12344) ''') result = ip.user_ns['result'] np.testing.assert_equal(result, 12345) @skip_without('pandas') def test_push_dataframe(): from pandas import DataFrame rm = rmagic.RMagics(ip) df = DataFrame([{'a': 1, 'b': 'bar'}, {'a': 5, 'b': 'foo', 'c': 20}]) ip.push({'df':df}) ip.run_line_magic('Rpush', 'df') # This is converted to factors, which are currently converted back to Python # as integers, so for now we test its representation in R. sio = StringIO() rinterface.set_writeconsole(sio.write) try: rm.r('print(df$b[1])') nt.assert_in('[1] bar', sio.getvalue()) finally: rinterface.set_writeconsole(None) # Values come packaged in arrays, so we unbox them to test. nt.assert_equal(rm.r('df$a[2]')[0], 5) missing = rm.r('df$c[1]')[0] assert np.isnan(missing), missing def test_pull(): rm = rmagic.RMagics(ip) rm.r('Z=c(11:20)') ip.run_line_magic('Rpull', 'Z') np.testing.assert_almost_equal(np.asarray(rm.r('Z')), ip.user_ns['Z']) np.testing.assert_almost_equal(ip.user_ns['Z'], np.arange(11,21)) def test_Rconverter(): datapy= np.array([(1, 2.9, 'a'), (2, 3.5, 'b'), (3, 2.1, 'c')], dtype=[('x', '