def __main__():
from chaos_class import Chaos
import matplotlib.pyplot as plt
ch = Chaos(0.1, 4.0) # x0 = 0.1 and r = 0.4
ts_length = 250
fig, ax = plt.subplots()
ax.set_xlabel(r'$t$', fontsize=14)
ax.set_ylabel(r'$x_t$', fontsize=14)
x = ch.generate_sequence(ts_length)
ax.plot(range(ts_length), x, 'bo-', alpha=0.5, lw=2, label=r'$x_t$')
plt.show()
return None
"""
Filename: bifurcation_diagram.py
Reference: http://quant-econ.net/py/python_oop.html
"""
from chaos_class import Chaos
import matplotlib.pyplot as plt
fig, ax = plt.subplots()
ch = Chaos(0.1, 4)
r = 2.5
while r < 4:
ch.r = r
t = ch.generate_sequence(1000)[950:]
ax.plot([r] * len(t), t, 'b.', ms=0.6)
r = r + 0.005
ax.set_xlabel(r'$r$', fontsize=16)
plt.show()
""" Filename: choatic_ts.py Reference: http://quant-econ.net/py/python_oop.html """ from chaos_class import Chaos import matplotlib.pyplot as plt ch = Chaos(0.1, 4.0) ts_length = 250 fig, ax = plt.subplots() ax.set_xlabel(r'$t$', fontsize=14) ax.set_ylabel(r'$x_t$', fontsize=14) x = ch.generate_sequence(ts_length) ax.plot(range(ts_length), x, 'bo-', alpha=0.5, lw=2, label=r'$x_t$') plt.show()
""" Filename: choatic_ts.py Reference: http://quant-econ.net/py/python_oop.html """ from chaos_class import Chaos import matplotlib.pyplot as plt ch = Chaos(0.1, 4.0) ts_length = 250 fig, ax = plt.subplots() ax.set_xlabel(r'$t$', fontsize=14) ax.set_ylabel(r'$x_t$', fontsize=14) x = ch.generate_sequence(ts_length) ax.plot(range(ts_length), x, 'bo-', alpha=0.5, lw=2, label=r'$x_t$') plt.show()
