Added all feature to graphing functions
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@ -18,21 +18,44 @@ class Matplotlib_Graph:
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self.x = None
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self.y = None
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self.yscale = "linear"
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self.legend = False
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def all_config_id(self,function):
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"""Graph each config_id's data stored in the database
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using multiple different colored lines."""
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# Get all the config's
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config_ids = self.database.get_all_config_id()
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# Turn on the legend
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self.legend = True
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# Get the x and y data for each config_id
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for config_id in config_ids:
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# Get x and y data
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x = self.database.get_each_generation_number(config_id)
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y = function(config_id)
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# Graph the line but dont show
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self.type_of_graph(x, y, label=f"Config_id - {config_id}")
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def generation_total_fitness(self, config_id = None):
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"""Show a plot of generation by generation total fitness."""
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if config_id == "all":
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# If the user want to plot all the config_id's
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self.all_config_id(self.database.get_generation_total_fitness)
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else:
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# Query the X data
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generations = self.database.get_total_generations(config_id)
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# Create the generations list - [0,1,2,etc]
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self.x = list(range(generations))
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# Query for Y data
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self.y = self.database.get_generation_total_fitness(config_id)
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self.type_of_graph(self.x, self.y)
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plt.yscale(self.yscale)
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plt.xlabel('Generation')
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plt.ylabel('Generation Total Fitness')
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@ -42,16 +65,18 @@ class Matplotlib_Graph:
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def highest_value_chromosome(self,config_id = None):
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"""Generation by Max value chromosome """
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if config_id == "all":
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# If the user want to plot all the config_id's
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self.all_config_id(self.database.get_highest_chromosome)
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else:
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# Query the X data
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generations = self.database.get_total_generations(config_id)
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# Create the generations list - [0,1,2,etc]
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self.x = list(range(generations))
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# Query for Y data
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self.y = self.database.get_highest_chromosome(config_id)
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self.type_of_graph(self.x, self.y)
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plt.yscale(self.yscale)
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plt.xlabel('Generation')
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plt.ylabel('Highest Fitness')
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@ -61,16 +86,18 @@ class Matplotlib_Graph:
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def lowest_value_chromosome(self,config_id = None):
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"""Generation by Min value Chromosome """
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if config_id == "all":
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# If the user want to plot all the config_id's
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self.all_config_id(self.database.get_lowest_chromosome)
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else:
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# Query the X data
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generations = self.database.get_total_generations(config_id)
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# Create the generations list - [0,1,2,etc]
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self.x = list(range(generations))
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# Query for Y data
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self.y = self.database.get_lowest_chromosome(config_id)
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self.type_of_graph(self.x, self.y)
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plt.yscale(self.yscale)
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plt.xlabel('Generation')
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plt.ylabel('Lowest Fitness')
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@ -79,6 +106,9 @@ class Matplotlib_Graph:
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def show(self):
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"""Used to show the matplot lib graph."""
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if self.legend == True:
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plt.legend()
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plt.show()
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@ -178,7 +178,7 @@ class SQL_Database:
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"""Get the highest fitness of each generation"""
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return self.query_all(f"""
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SELECT fitness, max(fitness)
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SELECT max(fitness)
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FROM data
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WHERE config_id={config_id}
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GROUP by generation;""")
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@ -189,18 +189,34 @@ class SQL_Database:
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"""Get the lowest fitness of each generation"""
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return self.query_all(f"""
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SELECT fitness, min(fitness)
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SELECT min(fitness)
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FROM data
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WHERE config_id={config_id}
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GROUP by generation;""")
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def get_all_config_id(self):
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"""Get an array of all the DISTINCT config_id in the database"""
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return self.query_all(f"""
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SELECT DISTINCT config_id
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FROM config;""")
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def get_each_generation_number(self,config_id):
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"""Get an array of all the generation numbers"""
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return self.query_all(f"""
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SELECT DISTINCT generation
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FROM data
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WHERE config_id={config_id};""")
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#=====================================#
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# Input information Queries: #
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#=====================================#
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def insert_chromosome(self, generation, chromosome):
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""" Insert one chromosome into the database"""
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