final plots: better filtering of data

final_plots.py

@@ -185,7 +185,12 @@ def prepare_plotly_csv():
     dm = DataManager()
     # General overview
     reduction_dict = dict(omega="omega", vdc="vdc", vac="vac", dc_conductance="g", dc_current="idc", ac_current_abs="iac", ac_current_phase="ac_phase")
-    data = dm.list(d=1e9, solver_tol_rel=1e-8, solver_tol_abs=1e-10)
+    data = dm.list(d=1e9, solver_tol_rel=1e-8, solver_tol_abs=1e-10, truncation_order=3)
+    bad_flags = DataManager.SOLVER_FLAGS["simplified_initial_conditions"] \
+            | DataManager.SOLVER_FLAGS["second_order_rg_equations"] \
+            | DataManager.SOLVER_FLAGS["extrapolate_voltage"] \
+            | DataManager.SOLVER_FLAGS["deleted"]
+    data = data.loc[data.solver_flags & bad_flags == 0]
     data = data.rename(columns=reduction_dict)
     data.g *= np.pi
     data.omega /= TK_VOLTAGE
@@ -194,7 +199,7 @@ def prepare_plotly_csv():
     data.idc /= TK_VOLTAGE
     data.iac /= TK_VOLTAGE
     data = data.sort_values(["vac","vdc","omega"])
-    data.to_csv("html/full.csv", columns=reduction_dict.values())
+    #data.to_csv("html/full.csv", columns=reduction_dict.values())
     # omega = 5Tk
     for omega, name in zip((16.5372, 9.2159791, 5.8206184, 7.1271), ("omega5", "compare_bruhat18a", "compare_bruhat18b", "compare_kogan04")):
         reduced = data.loc[np.isclose(data.omega*TK_VOLTAGE, omega) & (data.method == "mu") & (data.voltage_branches == 4)]