r - ggvis in jupyter/ipython notebook -
it possible use rmagic use r plotting in ipython notebook.
example usage
%%r ggplot() + geom_point(data=chickweight, aes(time, weight)) the next evolution of ggplot2 ggvis, has support interactive graphics. naively tried run ggvis code in notebook.
code
%%r library(ggvis) library(dplyr) chickweight %>% ggvis(~time, ~weight) %>% layer_points() error
--------------------------------------------------------------------------- rruntimeerror traceback (most recent call last) <ipython-input-34-d92c06ea4af8> in <module>() ----> 1 get_ipython().run_cell_magic(u'r', u'', u'# chickweight %>% head\nchickweight %>% ggvis(~time, ~weight) %>% layer_points()') /opt/virtualenvs/test/lib/python2.7/site-packages/ipython/core/interactiveshell.pyc in run_cell_magic(self, magic_name, line, cell) 2259 magic_arg_s = self.var_expand(line, stack_depth) 2260 self.builtin_trap: -> 2261 result = fn(magic_arg_s, cell) 2262 return result 2263 /opt/virtualenvs/test/lib/python2.7/site-packages/rpy2/ipython/rmagic.pyc in r(self, line, cell, local_ns) /opt/virtualenvs/test/lib/python2.7/site-packages/ipython/core/magic.pyc in <lambda>(f, *a, **k) 191 # it's overkill 1 bit of state. 192 def magic_deco(arg): --> 193 call = lambda f, *a, **k: f(*a, **k) 194 195 if callable(arg): /opt/virtualenvs/test/lib/python2.7/site-packages/rpy2/ipython/rmagic.pyc in r(self, line, cell, local_ns) 640 old_writeconsole = ri.get_writeconsole() 641 ri.set_writeconsole(self.write_console) --> 642 ro.r.show(result) 643 text_output += self.flush() 644 ri.set_writeconsole(old_writeconsole) /opt/virtualenvs/test/lib/python2.7/site-packages/rpy2/robjects/functions.pyc in __call__(self, *args, **kwargs) 168 v = kwargs.pop(k) 169 kwargs[r_k] = v --> 170 return super(signaturetranslatedfunction, self).__call__(*args, **kwargs) 171 172 pattern_link = re.compile(r'\\link\{(.+?)\}') /opt/virtualenvs/test/lib/python2.7/site-packages/rpy2/robjects/functions.pyc in __call__(self, *args, **kwargs) 98 k, v in kwargs.items(): 99 new_kwargs[k] = conversion.py2ri(v) --> 100 res = super(function, self).__call__(*new_args, **new_kwargs) 101 res = conversion.ri2ro(res) 102 return res rruntimeerror: error in view_static(x, ...) : unused argument (uses4 = false) this code works fine in rstudio.
is possible run ggvis in ipython notebook (or shiny matter, think that's problem)?
long story short, you'll have either call r's print method explicitly or customize rpy2's conversion rules ipython (not shown here).
%%r library(ggvis) library(dplyr) p <- chickweight %>% ggvis(~time, ~weight) %>% layer_points() print(p) note figure obtained in different page ipython notebook, breaks bit idea notebooks self-contained.
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