def update_plot(self):
'''
update the plot parameters to select the user's
preferences. also writes these to disk.
'''
# map the ui elements to the corresponding
# parameter names in the plot params list
add_plot_params(self)
# load things up in the R side
python_to_R.load_vars_for_plot(self.img_params_path)
# update relevant variables (on the R side)
# with new values -- we also write the updated
# params out to disk here
python_to_R.update_plot_params(self.current_param_vals,
write_them_out=True,
outpath="%s.params" % self.img_params_path)
print("out path for params: %s" % "%s.params" % self.img_params_path)
# now re-generate the plot data on the R side of
# things
#python_to_R.regenerate_plot_data(title=self.title)
python_to_R.regenerate_plot_data()
# finally, actually make the plot and spit it to disk in pdf and png formats
self.png_path = self.current_param_vals["fp_outpath"]
python_to_R.generate_forest_plot(self.png_path)
python_to_R.write_out_plot_data("%s" % self.img_params_path)
def save_image_as(self, params_path, title, plot_type="forest", unscaled_image=None, fmt="png"):
if fmt not in ["pdf","png"]:
raise Exception("Invalid fmt, needs to be either pdf or png!")
print("unscaled_image: %s" % str(unscaled_image))
#if not unscaled_image:
# note that the params object will, by convention,
# have the (generic) name 'plot.data' -- after this
# call, this object will be in the namespace
##if plot_type not in ["funnel", "histogram", "scatterplot", "forest__phylo"]:
## python_to_R.load_in_R("%s.plotdata" % params_path)
## print("Loaded: %s" % "%s.plotdata" % params_path)
if plot_type in ["forest", "regression"]:
python_to_R.load_in_R("%s.plotdata" % params_path)
print("Loaded: %s" % "%s.plotdata" % params_path)
elif plot_type == "forest plot of coefficients":
python_to_R.load_in_R("%s.coef_fp_data" % params_path)
print("Loaded: %s" % "%s.coef_fp_data" % params_path)
suffix = unicode("."+fmt)
default_filename = {"forest":"forest_plot",
"forest__phylo":"forest_plot",
"regression":"regression",
"funnel":"funnel_plot",
"histogram":"histogram",
"scatterplot":"scatterplot",
"forest plot of coefficients":"forest_plot_of_coefficients"}[plot_type] + suffix
default_path = os.path.join(get_user_desktop_path(), default_filename)
print("default_path for graphic: %s" % default_path)
default_path = QString(default_path)
default_path
dfilter = fmt + " files (*." + fmt +")"
print("filter: %s" % dfilter)
# where to save the graphic?
file_path = unicode(QFileDialog.getSaveFileName(self,
"OpenMEE -- save plot as",
default_path,))
#filter=QString(dfilter)))
# now we re-generate it, unless they canceled, of course
if file_path != "":
if file_path[-4:] != suffix:
file_path += suffix
if plot_type == "forest":
if self._is_side_by_side_fp(title):
python_to_R.generate_forest_plot(file_path, side_by_side=True)
else:
python_to_R.generate_forest_plot(file_path)
elif plot_type == "forest__phylo":
python_to_R.regenerate_phylo_forest_plot(file_path)
elif plot_type == "regression":
python_to_R.generate_reg_plot(file_path)
elif plot_type == "funnel":
python_to_R.regenerate_funnel_plot(params_path, file_path)
elif plot_type in ["histogram","scatterplot"]:
python_to_R.regenerate_exploratory_plot(params_path, file_path, plot_type=plot_type)
elif plot_type == "forest plot of coefficients":
python_to_R.regenerate_forest_plot_of_coefficients(file_path, params_path, fmt)
else:
print "sorry -- I don't know how to draw %s plots!" % plot_type
# else: # case where we just have the png and can't regenerate the pdf from plot data
# print("Can't regenerate pdf")
# default_path = '.'.join([title.replace(' ','_'),"png"])
# file_path = unicode(QFileDialog.getSaveFileName(self, "OpenMeta[Analyst] -- save plot as", QString(default_path)))
# unscaled_image.save(QString(file_path),"PNG")
self.statusbar.showMessage("Saved image to %s" % file_path, 10000)