plot_fitness.py

import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
df_gold = pd.DataFrame({"Generation": range(14),
                        "Distance to block of gold (fitness) of the best individual"
                        : [12.449,
                           11.445,
                           8.306,
                           8.306,
                           5.099,
                           2.828,
                           2.236,
                           2.236,
                           2.0,
                           1.414,
                           1.0,
                           1.0,
                           1.0,
                           1.0,
                           ]})
df_move = pd.DataFrame({"Generation": range(50),
                        "Average block position change in 10 seconds":
                            [
                                0.0005317979884902,
                                0,
                                0.0117075818353967,
                                0.01523672963017,
                                0.00985173118441,
                                0,
                                0,
                                0.0558487167203603,
                                0.0041511314886724,
                                0.0608178584863714,
                                0,
                                0,
                                0,
                                0.0250598294539914,
                                0.0064699622851276,
                                0.0005066410700814,
                                0.0084573213646666,
                                0.0019319881036708,
                                0,
                                0.0132455272481447,
                                0,
                                0.0361588311114718,
                                0.0139483451209066,
                                0,
                                0.0044727072755386,
                                0,
                                0,
                                0.0141251837849192,
                                0,
                                0,
                                0.0041073026399563,
                                0,
                                0.0083165030718175,
                                0.0015215572290481,
                                0,
                                0.006786076217578,
                                0.0045590782771159,
                                0.0161014927798895,
                                0.0026580126505793,
                                0.0258126299403305,
                                0.0016729561123794,
                                0.001396293197859,
                                0,
                                0.002234480256312,
                                0,
                                0.0246437239353487,
                                0.0010320475286345,
                                0.001598081732512,
                                0,
                                0.0189646830789385,
                            ]})
# sns.lineplot(x="Generation", y="Distance to block of gold (fitness) of the best individual", data=df_gold)
sns.lineplot(x="Generation", y="Average block position change in 10 seconds", data=df_move)
plt.xticks(rotation=15)
# plt.title('Evolution of blocks that grow toward a designated gold block')
plt.title('Evolution of machines')
plt.show()