def plot_truncnorm_cdf():
import matplotlib.pyplot as plt
H = 100. # mm
B = 300. # mm
fig, axs = plt.subplots(1,
2,
dpi=90,
facecolor='w',
edgecolor='k',
figsize=(B / 25.4, H / 25.4))
x = np.linspace(0, 5, 200)
t = phuzzy.TruncNorm(alpha0=[1, 5], number_of_alpha_levels=25)
p = t.pdf(x)
P = t.cdf(x)
axs[0].plot(x, p, label="pdf ana", lw=1)
axs[1].plot(x, P, label="cdf ana", lw=1)
f = phuzzy.FuzzyNumber(alpha0=[1, 2],
alpha1=[1.1, 1.4],
number_of_alpha_levels=5)
f.df = t.df.copy()
print(f.df)
pf = f.pdf(x)
Pf = f.cdf(x)
mix_mpl(f)
f.plot(show=False, ppf=[0, 0.01, .5, .99, 1])
axs[0].plot(x, pf, label="pdf num", lw=3, c="r", alpha=.5)
axs[1].plot(x, Pf, label="cdf num", lw=3, c="r", alpha=.5)
axs[0].legend(loc="best")
axs[1].legend(loc="best")
plt.show()
def test_fuzzy():
n = phuzzy.FuzzyNumber()
print(n)
print(n.__class__.__name__)
assert hasattr(n, "name")
assert hasattr(n, "df")
assert hasattr(n, "number_of_alpha_levels")
t = phuzzy.FuzzyNumber.from_data(data=[1, 3, 5], number_of_alpha_levels=3)
print(t.df)
assert len(t.df) == 3
print(t.__class__.__name__)
s = t.to_str()
print(s)
pdf = t.pdf([2])
print(pdf)
cdf = t.cdf([2])
print(cdf)
n = phuzzy.FuzzyNumber()
with pytest.raises(NotImplementedError) as exp:
s = n.to_str()
print(s)
with pytest.raises(NotImplementedError) as exp:
s = phuzzy.FuzzyNumber.from_str("!")
print(s)
t = phuzzy.Triangle(alpha0=[1, 3], alpha1=[2], number_of_alpha_levels=15)
p = phuzzy.Trapezoid(alpha0=[1, 4],
alpha1=[2, 3],
number_of_alpha_levels=5)
n = t + p
pdf = n.pdf([2])
print(pdf)
cdf = n.cdf([2])
print(cdf)
def test_import_export():
y = phuzzy.Trapezoid(alpha0=[1, 4],
alpha1=[2, 3],
number_of_alpha_levels=7)
e = y.export_csv()
print(e)
if is_py2:
e = e.decode()
fh = StringIO(e)
fh.seek(0)
z = phuzzy.FuzzyNumber(alpha0=[1, 4],
alpha1=[2, 3],
number_of_alpha_levels=2)
z.import_csv(fh)
assert len(z.df) == 7
def test_discretize():
x = phuzzy.FuzzyNumber(alpha0=[1, 4], number_of_alpha_levels=5)
with pytest.raises(NotImplementedError) as exp:
x.discretize(alpha0=[1, 4], alpha1=[2, 3], alpha_levels=10)