fix

Author: Luigi Dello Stritto

machine_learning_hep/analysis/analyzer_jets.py

@@ -284,8 +284,8 @@ def calculate_efficiencies(self):
                 eff_avg.Divide(project_hist(h_out, [1], {0: bins_ptjet}))
 
                 if eff_corr := self.cfg('efficiency.reweight'):
-                        for ipt in range(get_nbins(eff_avg, 0)):
-                            scale_bin(eff_avg, eff_corr[ipt][icat], ipt+1)
+                    for ipt in range(get_nbins(eff_avg, 0)):
+                        scale_bin(eff_avg, eff_corr[ipt][icat], ipt+1)
 
                 self._save_hist(eff_avg, f'eff/h_pthf_effnew_{cat}.png')
                 self.h_effnew_pthf[cat] = eff_avg

machine_learning_hep/processer.py

@@ -429,13 +429,16 @@ def dfuse(df_spec):
                         self.logger.info('merging %s with %s on %s into %s', base, ref, on, out)
                         if not is_numeric_dtype(dfs[base][on]):
                             self.logger.info('exploding dataframe %s on variable %s', base, on)
-                            dfs[out] = dfmerge(dfs[base].explode(on), dfs[ref], left_on=['df', on], suffixes=(f'_{base}', None), right_index=True)
+                            dfs[out] = dfmerge(
+                                exploded_df, dfs[ref], left_on=['df', on], suffixes=(f'_{base}', None), right_index=True)
                         else:
-                            dfs[out] = dfmerge(dfs[base], dfs[ref], left_on=['df', on], suffixes=(f'_{base}', None), right_index=True)
+                            dfs[out] = dfmerge(
+                                dfs[base], dfs[ref], left_on=['df', on], suffixes=(f'_{base}', None), right_index=True)
                     else:
                         var = self.df_read[ref]['index']
                         self.logger.info('merging %s with %s on %s (default) into %s', base, ref, var, out)
-                        dfs[out] = dfmerge(dfs[base], dfs[ref], left_on=['df', var], suffixes=(f'_{base}', None), right_index=True)
+                        dfs[out] = dfmerge(
+                            dfs[base], dfs[ref], left_on=['df', var], suffixes=(f'_{base}', None), right_index=True)
                     if 'extra' in m_spec:
                         self.logger.debug(' %s -> extra', out)
                         for col_name, col_val in m_spec['extra'].items():