Commit 3860a0f7 by Médéric Boquien

### Clarify some comments.

parent 9bf2d35d
 ... @@ -210,8 +210,8 @@ def analysis(idx, obs): ... @@ -210,8 +210,8 @@ def analysis(idx, obs): global gbl_mod_fluxes, gbl_obs_fluxes, gbl_obs_errors global gbl_mod_fluxes, gbl_obs_fluxes, gbl_obs_errors # We pick up the models with closest redshift assuming we have limited # We pick the indices of the models with closest redshift assuming we have # the number of decimals (usually set to 2 decimals). # limited the number of decimals (usually set to 2 decimals). w = np.where(gbl_w_redshifts[gbl_redshifts[np.abs(obs['redshift'] - w = np.where(gbl_w_redshifts[gbl_redshifts[np.abs(obs['redshift'] - gbl_redshifts).argmin()]]) gbl_redshifts).argmin()]]) ... @@ -344,7 +344,7 @@ def analysis(idx, obs): ... @@ -344,7 +344,7 @@ def analysis(idx, obs): for i, val in enumerate(analysed_averages): for i, val in enumerate(analysed_averages): pdf_binsize[i] = FDbinSize(model_variables[:, i]) pdf_binsize[i] = FDbinSize(model_variables[:, i]) if pdf_binsize[i]==0.: if pdf_binsize[i]==0.: # if only 1 bin, we cheat to have 1 point in the histogram # If there is only one value, then the histogram has only one bin min_hist[i] = min(model_variables[:, i]) min_hist[i] = min(model_variables[:, i]) max_hist[i] = min_hist[i] max_hist[i] = min_hist[i] pdf_binsize[i] = 1. pdf_binsize[i] = 1. ... ...
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