paulin/EasyGA
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Added to database file

Browse Source
This commit is contained in:
danielwilczak101
2020-11-21 20:40:10 -05:00
parent 1a8219d720
commit 2f1e21f828
3 changed files with 67 additions and 30 deletions
Download Patch File Download Diff File Expand all files Collapse all files

18
src/database/matplotlib_graph.py
View File

@ -19,17 +19,17 @@ class Matplotlib_Graph:
self.yscale = "linear"
def generation_total_fitness(self):
def generation_total_fitness(self, config_id = None):
"""Show a plot of generation by generation total fitness."""
# Query the X data
generations = self.database.get_total_generations()
generations = self.database.get_total_generations(config_id)
# Create the generations list - [0,1,2,etc]
self.x = list(range(0, generations))
# Query for Y data
self.y = self.database.get_generation_total_fitness()
self.y = self.database.get_generation_total_fitness(config_id)
if self.yscale == "log":
# If using log then the values have to be positive numbers
@ -40,17 +40,17 @@ class Matplotlib_Graph:
plt.ylabel('Generation Total Fitness')
plt.title('Relationship Between Generations and Generation Total Fitness')
def highest_value_chromosome(self):
def highest_value_chromosome(self,config_id = None):
"""Generation by Max value chromosome """
# Query the X data
generations = self.database.get_total_generations()
generations = self.database.get_total_generations(config_id)
# Create the generations list - [0,1,2,etc]
self.x = list(range(0, generations))
# Query for Y data
self.y = self.database.get_highest_chromosome()
self.y = self.database.get_highest_chromosome(config_id)
if self.yscale == "log":
# If using log then the values have to be positive numbers
@ -62,17 +62,17 @@ class Matplotlib_Graph:
plt.title('Relationship Between Generations and Highest Fitness')
def lowest_value_chromosome(self):
def lowest_value_chromosome(self,config_id = None):
"""Generation by Min value Chromosome """
# Query the X data
generations = self.database.get_total_generations()
generations = self.database.get_total_generations(config_id)
# Create the generations list - [0,1,2,etc]
self.x = list(range(0, generations))
# Query for Y data
self.y = self.database.get_lowest_chromosome()
self.y = self.database.get_lowest_chromosome(config_id)
if self.yscale == "log":
# If using log then the values have to be positive numbers