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feat: improved axis labels for HEPData figures #223

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Aug 14, 2024
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feat: improved axis labels for HEPData figures #223

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14 changes: 8 additions & 6 deletions analyses/cms-open-data-ttbar/utils/hepdata.py
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Original file line number Diff line number Diff line change
Expand Up @@ -47,18 +47,20 @@ def create_hep_data_table(index, model, model_prediction, config):
table = Table(table_name)

# Create a single variable for the region corresponding to the feature index
region = config['Regions'][index - 1]
var = Variable(f"Region {index}", is_independent=True, is_binned=False, units=region['Variable'])
var.values = [f"Feature{index} bin{k_bin}" for k_bin in range(len(model_prediction.model_yields[0][0]))]
formatted_values = [(config['Regions'][index]['Binning'][i-1], config['Regions'][index]['Binning'][i]) for i in range(1, len(config['Regions'][index]['Binning']))]
var = Variable(config['Regions'][index]['Variable'].split('[')[0], is_independent=True, is_binned=True, units=config['Regions'][index]['Variable'].partition('[')[2].partition(']')[0] or " ")
var.values = formatted_values
table.add_variable(var)

# Add dependent variables and uncertainties
for i, sample in enumerate(model.config.samples):
data_var = Variable(sample, is_independent=False, is_binned=False, units="Number of jets")
data_var.values = model_prediction.model_yields[index - 1][i]
model_yields = model_prediction.model_yields[index - 1][i]
total_stdev = model_prediction.total_stdev_model_bins[index - 1][i]

data_var.values = model_yields

unc = Uncertainty("A symmetric error", is_symmetric=True)
unc.values = model_prediction.total_stdev_model_bins[index - 1][i]
unc.values = total_stdev

data_var.add_uncertainty(unc)
table.add_variable(data_var)
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