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Fixed ga.yscale so it works with all plots

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This commit is contained in:
danielwilczak101
2020-12-03 02:21:32 -05:00
parent 5fb26545d4
commit 169c204296
1 changed files with 3 additions and 12 deletions
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15
src/database/matplotlib_graph.py
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@ -31,11 +31,8 @@ class Matplotlib_Graph:
# Query for Y data
self.y = self.database.get_generation_total_fitness(config_id)
# If using log then the values have to be positive numbers
if self.yscale == "log":
self.y = [abs(ele) for ele in self.y]
self.type_of_graph(self.x, self.y)
plt.yscale(self.yscale)
plt.xlabel('Generation')
plt.ylabel('Generation Total Fitness')
plt.title('Relationship Between Generations and Generation Total Fitness')
@ -53,11 +50,8 @@ class Matplotlib_Graph:
# Query for Y data
self.y = self.database.get_highest_chromosome(config_id)
# If using log then the values have to be positive numbers
if self.yscale == "log":
self.y = [abs(ele) for ele in self.y]
self.type_of_graph(self.x, self.y)
plt.yscale(self.yscale)
plt.xlabel('Generation')
plt.ylabel('Highest Fitness')
plt.title('Relationship Between Generations and Highest Fitness')
@ -75,11 +69,8 @@ class Matplotlib_Graph:
# Query for Y data
self.y = self.database.get_lowest_chromosome(config_id)
# If using log then the values have to be positive numbers
if self.yscale == "log":
self.y = [abs(ele) for ele in self.y]
self.type_of_graph(self.x, self.y)
plt.yscale(self.yscale)
plt.xlabel('Generation')
plt.ylabel('Lowest Fitness')
plt.title('Relationship Between Generations and Lowest Fitness')