def run(self):
"""
Load, stack, print and save histograms in a stream.
"""
# combined operation for loading, filtering, stacking, etc..
# the output looks like: [(stack1, data1), (stack2, data2), ...]
stream_stack_n_data = gen.fs_mc_stack_n_data_sum({
"name":
"histo",
"analyzer": ["CrtlFiltEt", "CrtlFiltEta"]
})
# plot (stack, data) pairs into canvases, with legend
stream_canvas = gen.canvas(stream_stack_n_data,
[cmstoolsac3b.rendering.Legend])
# store into dir of this tool
stream_canvas = gen.save(
stream_canvas,
lambda wrp: self.plot_output_dir + wrp.
name, # this function returns a path without postfix
settings.rootfile_postfixes)
# pull everything through the stream
count = gen.consume_n_count(stream_canvas)
# make a nice statement
self.message("INFO: " + self.name + " produced " + count +
" canvases.")
def run(self):
"""
Load, stack, print and save histograms in a stream.
"""
# combined operation for loading, filtering, stacking, etc..
# the output looks like: [(stack1, data1), (stack2, data2), ...]
stream_stack_n_data = gen.fs_mc_stack_n_data_sum(
{
"name" : "histo",
"analyzer" : ["CrtlFiltEt", "CrtlFiltEta"]
}
)
# plot (stack, data) pairs into canvases, with legend
stream_canvas = gen.canvas(
stream_stack_n_data,
[cmstoolsac3b.rendering.Legend]
)
# store into dir of this tool
stream_canvas = gen.save(
stream_canvas,
lambda wrp: self.plot_output_dir + wrp.name, # this function returns a path without postfix
settings.rootfile_postfixes
)
# pull everything through the stream
count = gen.consume_n_count(stream_canvas)
# make a nice statement
self.message("INFO: "+self.name+" produced "+count+" canvases.")
def run(self):
"""
Load, stack, print and save histograms in a stream.
"""
# combined operation for loading, filtering, stacking, etc..
# the output looks like: [(stack1, data1), (stack2, data2), ...]
stream_stack_n_data = gen.fs_mc_stack_n_data_sum(
self.histo_filter_dict
)
# can be saved for later use.
if self.store_stack_and_data_in_pool:
stream_stack_n_data = self.store_to_pool(stream_stack_n_data)
# plot (stack, data) pairs into canvases, with decorators
stream_canvas = gen.canvas(
stream_stack_n_data,
self.canvas_decorators
)
# store into dir of this tool
stream_canvas = gen.save(
stream_canvas,
lambda wrp: self.plot_output_dir + wrp.analyzer
)
# pull everything through the stream
count = gen.consume_n_count(stream_canvas)
# make a nice statement
self.message("INFO: "+self.name+" produced "+count+" canvases.")
def run(self):
"""
Load, stack, print and save histograms in a stream.
"""
# combined operation for loading, filtering, stacking, etc..
# the output looks like: [(stack1, data1), (stack2, data2), ...]
stream_stack_n_data = gen.fs_mc_stack_n_data_sum(
self.histo_filter_dict)
# can be saved for later use.
if self.store_stack_and_data_in_pool:
stream_stack_n_data = self.store_to_pool(stream_stack_n_data)
# plot (stack, data) pairs into canvases, with decorators
stream_canvas = gen.canvas(stream_stack_n_data, self.canvas_decorators)
# store into dir of this tool
stream_canvas = gen.save(
stream_canvas, lambda wrp: self.plot_output_dir + wrp.analyzer)
# pull everything through the stream
count = gen.consume_n_count(stream_canvas)
# make a nice statement
self.message("INFO: " + self.name + " produced " + count +
" canvases.")
def test_gen_fs_mc_stack_n_data_sum(self):
res = gen.fs_mc_stack_n_data_sum({"name": "histo"})
mc, data = res.next()
# correct instances
self.assertTrue(isinstance(mc, StackWrapper))
self.assertTrue(isinstance(data, HistoWrapper))
# ... of equal lumi (from data)
self.assertEqual(mc.lumi, settings.data_samples()["tt"].lumi)
self.assertEqual(data.lumi, settings.data_samples()["tt"].lumi)
# check stacking order by history
h = str(mc.history)
self.assertTrue(h.index("ttgamma") < h.index("zjets"))
settings.stacking_order.reverse()
mc, data = res.next()
h = str(mc.history)
self.assertTrue(h.index("zjets") < h.index("ttgamma"))
def test_gen_fs_mc_stack_n_data_sum(self):
res = gen.fs_mc_stack_n_data_sum({"name": "histo"})
mc, data = res.next()
# correct instances
self.assertTrue(isinstance(mc, StackWrapper))
self.assertTrue(isinstance(data, HistoWrapper))
# ... of equal lumi (from data)
self.assertEqual(mc.lumi, settings.data_samples()["tt"].lumi)
self.assertEqual(data.lumi, settings.data_samples()["tt"].lumi)
# check stacking order by history
h = str(mc.history)
self.assertTrue(h.index("ttgamma") < h.index("zjets"))
settings.stacking_order.reverse()
mc, data = res.next()
h = str(mc.history)
self.assertTrue(h.index("zjets") < h.index("ttgamma"))
