def import_datafile(self,uri):
'''Take a file and try to extract data from it using the lib.readfiles'''
path = get_path_from_url(uri)
if not os.path.isfile(path):
return
filename = os.path.split(uri)[1]
#There are a lot of things that can go wrong here... R isn't friendly with external files
try:
(columns, data, rows) = readfiles.readfile(uri)
dataframe = rsession.dataframe(data,columns,filename,rownames=rows)
self.add_r_object(dataframe,filename)
self.set_active_robject(dataframe)
except:
error("Could not read file: %s" % uri)
return
def render_dataframe(self,data,columns=None,name=None,rownames=None):
'''Take a numpy matrix and bring it into the Python enviroment, also add it to the r session'''
if not columns:
columns = dict()
#Map the columns to anoymous V1,V2,V3... variables
for i in range(data.shape[1]):
columns['V%s' % (i+1)] = float
if not name:
inc = 0
for unmes in self.robjects.keys():
if 'unnamed' in unmes:
inc += 1
name = 'unnamed' + str(inc+1)
#Set the main title to include the open file name.
self.window.set_title(__name__ + ' - ' + name)
dataframe = rsession.dataframe(data,columns,label=name,rownames=rownames)
self.add_r_object(dataframe,name)
self.set_active_robject(dataframe)
self.handle_dataview(data,columns,rownames=rownames,editable=True)
