@@ -340,7 +340,7 @@ def reshape(values):
340340data_object = data .Data (
341341 survey ,
342342 dobs = dpred + noise ,
343- noise_floor = floors .flatten (),
343+ noise_floor = floors .flatten (order = 'F' ),
344344 # noise_floor=np.kron(
345345 # np.mean(np.abs(dpred).reshape), axis=1),
346346 # np.ones(n_times),
@@ -453,7 +453,7 @@ def reshape(values):
453453plt .plot (reshape (np .r_ [inv_prob .dpred ]).squeeze ().T , "r" )
454454plt .plot (reshape (data_object .standard_deviation ).squeeze ().T , "k--" )
455455plt .plot (reshape (- data_object .standard_deviation ).squeeze ().T , "k--" )
456- axs .set_yscale ("symlog" , linthresh = 1e-11 )
456+ axs .set_yscale ("symlog" , linthresh = 1e-13 )
457457axs .set_title ("LP Predicted" )
458458axs .set_ylim ([- 1e-10 , 0 ])
459459
@@ -464,7 +464,7 @@ def reshape(values):
464464 plt .plot (reshape (simulation .dpred (inv_prob .l2model )).squeeze ().T , "r" )
465465 plt .plot (reshape (data_object .standard_deviation ).squeeze ().T , "k--" )
466466 plt .plot (reshape (- data_object .standard_deviation ).squeeze ().T , "k--" )
467- axs .set_yscale ("symlog" , linthresh = 1e-11 )
467+ axs .set_yscale ("symlog" , linthresh = 1e-14 )
468468 axs .set_title ("L2 Predicted" )
469469 axs .set_ylim ([- 1e-10 , 0 ])
470470 plt .show ()
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