From 3b0b45173c2e4266ffcbf54b5b9aa682b2dc3026 Mon Sep 17 00:00:00 2001 From: Paht J Date: Thu, 20 Oct 2022 16:00:02 -0400 Subject: [PATCH] 1.4.6 release forgot to add the feature --- .../_modules/glennopt/base/optimizer.html | 40 +++++++++++------- docs/build/html/genindex.html | 2 + docs/build/html/modules/base.html | 11 +++++ docs/build/html/objects.inv | Bin 1575 -> 1583 bytes docs/build/html/searchindex.js | 2 +- pyproject.toml | 2 +- 6 files changed, 39 insertions(+), 18 deletions(-) diff --git a/docs/build/html/_modules/glennopt/base/optimizer.html b/docs/build/html/_modules/glennopt/base/optimizer.html index e0a38e4d..9ece7360 100644 --- a/docs/build/html/_modules/glennopt/base/optimizer.html +++ b/docs/build/html/_modules/glennopt/base/optimizer.html @@ -746,13 +746,15 @@

Source code for glennopt.base.optimizer

         else:
             self.pandas_cache['POP{0:03d}'.format(pop_number)] = pd.DataFrame(data)
-
[docs] def to_tecplot(self): - """Converts the dataframe to a tecplot file (.tec) +
[docs] @staticmethod + def df_to_tecplot(df_dict:Dict[str,pd.DataFrame],filename:str): + """Staticmethod to convert a normal pandas dataframe to tecplot file + + Args: + df (Dict[str,pd.DataFrame]): For example {'DOE': pd.DataFrame} """ - if len(self.pandas_cache)==0: - return - firstKey = next(iter(self.pandas_cache)) - firstPandas = self.pandas_cache[firstKey] + firstKey = next(iter(df_dict)) + firstPandas = df_dict[firstKey] # header variables = [] @@ -761,17 +763,15 @@

Source code for glennopt.base.optimizer

         head = 'VARIABLES = ' + ','.join(variables) + '\n'
 
         # zones
-        
         zones = []
-        
-        for key, df in self.pandas_cache.items():
+        for key, df in df_dict.items():
             i = 0
-            for index, row in self.pandas_cache[key].iterrows():
+            for index, row in df_dict[key].iterrows():
                 zone_str = 'ZONE T = \"{0}\"\n'.format(key+"_"+df.iloc[i]['individual'])
                 data_str = ' '
                 data = []
                 i+=1
-                for col in self.pandas_cache[key].columns:
+                for col in df_dict[key].columns:
                     if col=='population':
                         if row[col] == "DOE":
                             data.append(str(-1))
@@ -790,16 +790,24 @@ 
Source code for glennopt.base.optimizer
                 zones.append(' '.join(data) + '\n')
         
         # write to .tec file
-        if (not os.path.exists(os.path.join(self.optimization_folder,''))):
-            os.makedirs(os.path.join(self.optimization_folder,''))
-
-        db_filename = os.path.join(self.optimization_folder,'','database.tec')
-        with open(db_filename,'w') as f:
+        with open(filename,'w') as f:
             # write headers
             f.write(head)
             # write zones
             for zone in zones:
                 f.write(zone)

+
+
[docs]    def to_tecplot(self):
+        """Converts the dataframe to a tecplot file (.tec)
+        """
+        if len(self.pandas_cache)==0:
+            return
+        if (not os.path.exists(os.path.join(self.optimization_folder,''))):
+            os.makedirs(os.path.join(self.optimization_folder,''))
+
+        filename = os.path.join(self.optimization_folder,'','database.tec')
+        self.df_to_tecplot(self.pandas_cache,filename)

+
     
 
[docs]    def create_restart(self):
         """Create a restart file containing all individuals of all populations
diff --git a/docs/build/html/genindex.html b/docs/build/html/genindex.html
index 3aff356f..b139b5e9 100644
--- a/docs/build/html/genindex.html
+++ b/docs/build/html/genindex.html
@@ -317,6 +317,8 @@ 
D

       
  • de_rand_1_bin() (in module glennopt.helpers.mutate)
 
    • 
       
  • de_rand_1_bin_spawn() (in module glennopt.helpers.mutate)
+
    • 
+      
  • df_to_tecplot() (glennopt.base.optimizer.Optimizer static method)
 
    • 
       
  • distance() (in module glennopt.helpers.population_distance)
 
    • 
diff --git a/docs/build/html/modules/base.html b/docs/build/html/modules/base.html
index 4811fd9b..601eec44 100644
--- a/docs/build/html/modules/base.html
+++ b/docs/build/html/modules/base.html
@@ -652,6 +652,17 @@ 
    GlennOPT base classes
    Create a restart file containing all individuals of all populations
    
 
 
+
    
+
    
+static df_to_tecplot(df_dict: Dict[str, DataFrame], filename: str)[source]
    
+
    Staticmethod to convert a normal pandas dataframe to tecplot file
    
+
    
+
    Parameters
    
+
    df (Dict[str,pd.DataFrame]) – For example {‘DOE’: pd.DataFrame}
    
+
    
+
    
+
    
+
 
    
 
    
 evaluate_population(individuals: List[Individual], population_number: int = 0)[source]
    
diff --git a/docs/build/html/objects.inv b/docs/build/html/objects.inv
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diff --git a/docs/build/html/searchindex.js b/docs/build/html/searchindex.js
index 8a2aa47a..edbab1d5 100644
--- a/docs/build/html/searchindex.js
+++ b/docs/build/html/searchindex.js
@@ -1 +1 @@
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(glennopt.helpers.mutate.mutation_parameters attribute)": [[2, "glennopt.helpers.mutate.mutation_parameters.__hash__"]], "__hash__ (glennopt.helpers.parallel_settings.parallel_settings attribute)": [[2, "glennopt.helpers.parallel_settings.parallel_settings.__hash__"]], "__init_subclass__() (in module glennopt.helpers.copy)": [[2, "glennopt.helpers.copy.__init_subclass__"]], "__init_subclass__() (in module glennopt.helpers.non_dominated_sorting)": [[2, "glennopt.helpers.non_dominated_sorting.__init_subclass__"]], "__new__() (in module glennopt.helpers.copy)": [[2, "glennopt.helpers.copy.__new__"]], "__new__() (in module glennopt.helpers.non_dominated_sorting)": [[2, "glennopt.helpers.non_dominated_sorting.__new__"]], "__reduce__() (in module glennopt.helpers.copy)": [[2, "glennopt.helpers.copy.__reduce__"]], "__reduce__() (in module glennopt.helpers.non_dominated_sorting)": [[2, "glennopt.helpers.non_dominated_sorting.__reduce__"]], "__reduce_ex__() (in module glennopt.helpers.copy)": [[2, "glennopt.helpers.copy.__reduce_ex__"]], "__reduce_ex__() (in module glennopt.helpers.non_dominated_sorting)": [[2, "glennopt.helpers.non_dominated_sorting.__reduce_ex__"]], "__sizeof__() (in module glennopt.helpers.copy)": [[2, "glennopt.helpers.copy.__sizeof__"]], "__sizeof__() (in module glennopt.helpers.non_dominated_sorting)": [[2, "glennopt.helpers.non_dominated_sorting.__sizeof__"]], "__subclasshook__() (in module glennopt.helpers.copy)": [[2, "glennopt.helpers.copy.__subclasshook__"]], "__subclasshook__() (in module glennopt.helpers.non_dominated_sorting)": [[2, "glennopt.helpers.non_dominated_sorting.__subclasshook__"]], "convert_to_ndarray() (in module glennopt.helpers.convert_to_ndarray)": [[2, "glennopt.helpers.convert_to_ndarray.convert_to_ndarray"]], "crossover() (in module glennopt.helpers.mutate)": [[2, "glennopt.helpers.mutate.crossover"]], "de_best_1_bin() (in module glennopt.helpers.mutate)": [[2, "glennopt.helpers.mutate.de_best_1_bin"]], "de_dmp() (in module glennopt.helpers.mutate)": [[2, "glennopt.helpers.mutate.de_dmp"]], "de_dmp_bak() (in module glennopt.helpers.mutate)": [[2, "glennopt.helpers.mutate.de_dmp_bak"]], "de_mutation_type (class in glennopt.helpers.mutate)": [[2, "glennopt.helpers.mutate.de_mutation_type"]], "de_rand_1_bin() (in module glennopt.helpers.mutate)": [[2, "glennopt.helpers.mutate.de_rand_1_bin"]], "de_rand_1_bin_spawn() (in module glennopt.helpers.mutate)": [[2, "glennopt.helpers.mutate.de_rand_1_bin_spawn"]], "distance() (in module glennopt.helpers.population_distance)": [[2, "glennopt.helpers.population_distance.distance"]], "diversity() (in module glennopt.helpers.population_distance)": [[2, "glennopt.helpers.population_distance.diversity"]], "get_best() (in module glennopt.helpers.post_processing)": [[2, "glennopt.helpers.post_processing.get_best"]], "get_eval_param_matrix() (in module glennopt.helpers.mutate)": [[2, "glennopt.helpers.mutate.get_eval_param_matrix"]], "get_pairs() (in module glennopt.helpers.mutate)": [[2, "glennopt.helpers.mutate.get_pairs"]], "get_pop_best() (in module glennopt.helpers.post_processing)": [[2, "glennopt.helpers.post_processing.get_pop_best"]], "glennopt.helpers.convert_to_ndarray": [[2, "module-glennopt.helpers.convert_to_ndarray"]], "glennopt.helpers.copy": [[2, "module-glennopt.helpers.copy"]], "glennopt.helpers.mutate": [[2, "module-glennopt.helpers.mutate"]], "glennopt.helpers.non_dominated_sorting": [[2, "module-glennopt.helpers.non_dominated_sorting"]], "glennopt.helpers.parallel_settings": [[2, "module-glennopt.helpers.parallel_settings"]], "glennopt.helpers.population_distance": [[2, "module-glennopt.helpers.population_distance"]], "glennopt.helpers.post_processing": [[2, "module-glennopt.helpers.post_processing"]], "mutate() (in module glennopt.helpers.mutate)": [[2, "glennopt.helpers.mutate.mutate"]], "mutation_parameters (class in glennopt.helpers.mutate)": [[2, "glennopt.helpers.mutate.mutation_parameters"]], "parallel_settings (class in glennopt.helpers.parallel_settings)": [[2, "glennopt.helpers.parallel_settings.parallel_settings"]], "plot_pareto() (in module glennopt.helpers.post_processing)": [[2, "glennopt.helpers.post_processing.plot_pareto"]], "set_eval_parameters() (in module glennopt.helpers.mutate)": [[2, "glennopt.helpers.mutate.set_eval_parameters"]], "simple() (in module glennopt.helpers.mutate)": [[2, "glennopt.helpers.mutate.simple"]], "nsga3 (class in glennopt.optimizers.nsga3)": [[3, "glennopt.optimizers.nsga3.NSGA3"]], "__crossover_mutate__() (glennopt.optimizers.nsga3.nsga3 method)": [[3, "glennopt.optimizers.nsga3.NSGA3.__crossover_mutate__"]], "__optimize__() (glennopt.optimizers.nsga3.nsga3 method)": [[3, "glennopt.optimizers.nsga3.NSGA3.__optimize__"]], "add_eval_parameters() (glennopt.optimizers.nsga3.nsga3 method)": [[3, "glennopt.optimizers.nsga3.NSGA3.add_eval_parameters"]], "add_objectives() (glennopt.optimizers.nsga3.nsga3 method)": [[3, "glennopt.optimizers.nsga3.NSGA3.add_objectives"]], "add_performance_parameters() (glennopt.optimizers.nsga3.nsga3 method)": [[3, "glennopt.optimizers.nsga3.NSGA3.add_performance_parameters"]], "glennopt.optimizers.nsga3": [[3, "module-glennopt.optimizers.nsga3"]], "mutation_params (glennopt.optimizers.nsga3.nsga3 property)": [[3, "glennopt.optimizers.nsga3.NSGA3.mutation_params"]], "optimize_from_population() (glennopt.optimizers.nsga3.nsga3 method)": [[3, "glennopt.optimizers.nsga3.NSGA3.optimize_from_population"]], "random() (in module glennopt.optimizers.nsga3)": [[3, "glennopt.optimizers.nsga3.random"]], "start_doe() (glennopt.optimizers.nsga3.nsga3 method)": [[3, "glennopt.optimizers.nsga3.NSGA3.start_doe"]], "nsga3_ml (class in glennopt.optimizers.nsga3_ml)": [[4, "glennopt.optimizers.nsga3_ml.NSGA3_ML"]], "__crossover_mutate__() (glennopt.optimizers.nsga3_ml.nsga3_ml method)": [[4, "glennopt.optimizers.nsga3_ml.NSGA3_ML.__crossover_mutate__"]], "add_eval_parameters() (glennopt.optimizers.nsga3_ml.nsga3_ml method)": [[4, "glennopt.optimizers.nsga3_ml.NSGA3_ML.add_eval_parameters"]], "add_objectives() (glennopt.optimizers.nsga3_ml.nsga3_ml method)": [[4, "glennopt.optimizers.nsga3_ml.NSGA3_ML.add_objectives"]], "add_performance_parameters() (glennopt.optimizers.nsga3_ml.nsga3_ml method)": [[4, "glennopt.optimizers.nsga3_ml.NSGA3_ML.add_performance_parameters"]], "glennopt.optimizers.nsga3_ml": [[4, "module-glennopt.optimizers.nsga3_ml"]], "mutation_params (glennopt.optimizers.nsga3_ml.nsga3_ml property)": [[4, "glennopt.optimizers.nsga3_ml.NSGA3_ML.mutation_params"]], "optimize_from_population() (glennopt.optimizers.nsga3_ml.nsga3_ml method)": [[4, "glennopt.optimizers.nsga3_ml.NSGA3_ML.optimize_from_population"]], "start_doe() (glennopt.optimizers.nsga3_ml.nsga3_ml method)": [[4, "glennopt.optimizers.nsga3_ml.NSGA3_ML.start_doe"]], "train() (glennopt.optimizers.nsga3_ml.nsga3_ml method)": [[4, "glennopt.optimizers.nsga3_ml.NSGA3_ML.train"]], "nsopt (class in glennopt.optimizers.nsopt)": [[5, "glennopt.optimizers.nsopt.NSOPT"]], "add_eval_parameters() (glennopt.optimizers.nsopt.nsopt method)": [[5, "glennopt.optimizers.nsopt.NSOPT.add_eval_parameters"]], "add_objectives() (glennopt.optimizers.nsopt.nsopt method)": [[5, "glennopt.optimizers.nsopt.NSOPT.add_objectives"]], "add_performance_parameters() (glennopt.optimizers.nsopt.nsopt method)": [[5, "glennopt.optimizers.nsopt.NSOPT.add_performance_parameters"]], "glennopt.optimizers.nsopt": [[5, "module-glennopt.optimizers.nsopt"]], "optimize_from_population() (glennopt.optimizers.nsopt.nsopt method)": [[5, "glennopt.optimizers.nsopt.NSOPT.optimize_from_population"]], "start_doe() (glennopt.optimizers.nsopt.nsopt method)": [[5, "glennopt.optimizers.nsopt.NSOPT.start_doe"]], "surrogate_objective_func() (in module glennopt.optimizers.nsopt)": [[5, "glennopt.optimizers.nsopt.surrogate_objective_func"]], "train() (glennopt.optimizers.nsopt.nsopt method)": [[5, "glennopt.optimizers.nsopt.NSOPT.train"]], "sode (class in glennopt.optimizers.sode)": [[6, "glennopt.optimizers.sode.SODE"]], "__crossover_mutate__() (glennopt.optimizers.sode.sode method)": [[6, "glennopt.optimizers.sode.SODE.__crossover_mutate__"]], "__set_eval_parameters__() (glennopt.optimizers.sode.sode method)": [[6, "glennopt.optimizers.sode.SODE.__set_eval_parameters__"]], "glennopt.optimizers.sode": [[6, "module-glennopt.optimizers.sode"]], "optimize_from_population() (glennopt.optimizers.sode.sode method)": [[6, "glennopt.optimizers.sode.SODE.optimize_from_population"]], "random() (in module glennopt.optimizers.sode)": [[6, "glennopt.optimizers.sode.random"]], "select_individuals() (glennopt.optimizers.sode.sode method)": [[6, "glennopt.optimizers.sode.SODE.select_individuals"]], "selection_type (class in glennopt.optimizers.sode)": [[6, "glennopt.optimizers.sode.selection_type"]], "start_doe() (glennopt.optimizers.sode.sode method)": [[6, "glennopt.optimizers.sode.SODE.start_doe"]]}})
\ No newline at end of file
diff --git a/pyproject.toml b/pyproject.toml
index 630ab782..e55b5511 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "GlennOPT"
-version = "1.4.5"
+version = "1.4.6"
 description = "Multi and single objective optimization tool for cfd/computer simulations."
 authors = ["Paht Juangphanich "]