Add filter_by example

npf/grapher.py

@@ -1713,13 +1713,14 @@ def generate_plot_for_graph(self, i, i_subplot, figure, n_cols, n_lines, vars_va
                 if type(ncol) == list:
                     ncol = ncol[ilegend % len(ncol)]
                 doleg = self.config_bool_or_in('graph_legend', result_type)
+
                 if doleg is None:
                     if len(labels) == 1 and labels[0] in ('local','version'):
                         doleg = False
                         print("Legend not shown as there is only one serie with a default name. Set --config graph_legend=1 to force printing a legend.")
                     else:
                         doleg = True
-                if default_doleg or doleg:
+                if (default_doleg or doleg) and doleg is not False:
                     loc = self.config("legend_loc")
                     if type(loc) is dict or type(loc) is list:
                         loc = self.scriptconfig("legend_loc",key="result",result_type=result_type)

npf/section.py

@@ -1,6 +1,7 @@
 import ast
 
 from typing import List, Set
+from collections.abc import Mapping
 
 from npf import npf
 from npf.repository import Repository
@@ -732,6 +733,9 @@ def get_dict_value(self, var, key, result_type=None, default=None):
         best_l = -1
         best = default
         if var in self:
+            if not isinstance(self.vlist[var], DictVariable) and self.vlist[var]:
+                return self[var]
+
             d = self.get_dict(var)
             if result_type is not None:
                 #Search for "key-result_type", such as result-throughput

npf/version.py

@@ -1 +1 @@
-__version__ = "1.0.55"
+__version__ = "1.0.56"