def aggregate_and_plot(self):
global SIC_ORIG
global SIC_ROOT
global SIC_PROCESSED
global SIC_RESULTS
global SIC_DATA_PICKLE
mskpath = join(SIC_ROOT, SIC_PROCESSED)
global d
try:
d
except NameError:
d = pickle.load(file(join(SIC_ROOT, SIC_PROCESSED, SIC_DATA_PICKLE)))
o2n = d["o2n"]
spots = aggregate_spots(o2n, mskpath)
d["spots"] = spots
pickle.dump(d, file(join(SIC_ROOT, SIC_RESULTS, SIC_DATA_PICKLE), "w"))
histogram_intensities(spots, mskpath)
scatterplot_intensities(spots, mskpath)
spots_per_cell_distribution(spots, mskpath)
pl.show()
def aggregate_and_plot(self):
global SIC_ORIG
global SIC_ROOT
global SIC_PROCESSED
global SIC_RESULTS
global SIC_DATA_PICKLE
mskpath = join(SIC_ROOT, SIC_PROCESSED)
global d
try:
d
except NameError:
d = pickle.load(
file(join(SIC_ROOT, SIC_PROCESSED, SIC_DATA_PICKLE)))
o2n = d["o2n"]
spots = aggregate_spots(o2n, mskpath)
d["spots"] = spots
pickle.dump(d, file(join(SIC_ROOT, SIC_RESULTS, SIC_DATA_PICKLE), "w"))
histogram_intensities(spots, mskpath)
scatterplot_intensities(spots, mskpath)
spots_per_cell_distribution(spots, mskpath)
pl.show()
def make_plots(spots, d):
pf.histogram_intensities(spots)
pf.scatterplot_intensities(spots)
pf.spots_per_cell_distribution(spots)
#pf.plot_time2ratio_between_one_dot_number_and_cell_number(d)
pl.show()
def make_plots(spots, d):
pf.histogram_intensities(spots)
pf.scatterplot_intensities(spots)
pf.spots_per_cell_distribution(spots)
#pf.plot_time2ratio_between_one_dot_number_and_cell_number(d)
pl.show()
