Esempio n. 1
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 def plot_coefficients(self, submodel=-2, exclude_constant=True, eqidx=0, plot=True, 
                       store_values_to_file=None):
     """ Plot a barchart of coefficient values. This can be used in a regression model, 
     when coefficients are standardized 
     (i.e. using the estimation module opus_core.estimate_linear_regression_standardized).
     store_values_to_file can be a file name where the values are stored.
     """
     coef = self.get_coefficients(submodel)
     values = coef.get_coefficient_values()
     names = coef.get_coefficient_names()
     sd = coef.get_standard_errors()
     idx=ones(names.shape[1], dtype="bool")
     if exclude_constant:
         pos = coef.get_constants_positions()
         if pos.size > 0:               
             idx[pos]=0
     if store_values_to_file is not None:
         n = idx.sum()
         result = concatenate((reshape(names[eqidx, idx], (n,1)), 
                              reshape(values[eqidx, idx], (n,1)),
                              reshape(sd[eqidx, idx], (n,1))), axis=1)
         write_to_text_file(store_values_to_file, array(['coefficient_name', 'estimate', 'standard_error']), 
                            delimiter='\t')
         write_table_to_text_file(store_values_to_file, result, delimiter='\t', mode='a')
     if plot:
         plot_barchart(values[eqidx, idx], labels = names[eqidx, idx], errors=sd[eqidx, idx])
     else:
         return {'names': names[eqidx, idx], 'values': values[eqidx, idx], 'errors': sd[eqidx, idx]}
Esempio n. 2
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 def plot_coefficients(self, submodel=-2, exclude_constant=True, eqidx=0, plot=True, 
                       store_values_to_file=None):
     """ Plot a barchart of coefficient values. This can be used in a regression model, 
     when coefficients are standardized 
     (i.e. using the estimation module opus_core.estimate_linear_regression_standardized).
     store_values_to_file can be a file name where the values are stored.
     """
     coef = self.get_coefficients(submodel)
     values = coef.get_coefficient_values()
     names = coef.get_coefficient_names()
     sd = coef.get_standard_errors()
     idx=ones(names.shape[1], dtype="bool")
     if exclude_constant:
         pos = coef.get_constants_positions()
         if pos.size > 0:               
             idx[pos]=0
     if store_values_to_file is not None:
         n = idx.sum()
         result = concatenate((reshape(names[eqidx, idx], (n,1)), 
                              reshape(values[eqidx, idx], (n,1)),
                              reshape(sd[eqidx, idx], (n,1))), axis=1)
         write_to_text_file(store_values_to_file, array(['coefficient_name', 'estimate', 'standard_error']), 
                            delimiter='\t')
         write_table_to_text_file(store_values_to_file, result, delimiter='\t', mode='a')
     if plot:
         plot_barchart(values[eqidx, idx], labels = names[eqidx, idx], errors=sd[eqidx, idx])
     else:
         return {'names': names[eqidx, idx], 'values': values[eqidx, idx], 'errors': sd[eqidx, idx]}
Esempio n. 3
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def plot_utility_diagnose(filename):
    from opus_core.plot_functions import plot_barchart
    data, coef_names = load_table_from_text_file(filename,
                                                 convert_to_float=True,
                                                 header=True)
    plot_barchart(data[2, :], labels=coef_names)
Esempio n. 4
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def plot_utility_diagnose(filename):
    from opus_core.plot_functions import plot_barchart
    data, coef_names = load_table_from_text_file(filename, convert_to_float=True, header=True)
    plot_barchart(data[2,:], labels = coef_names)