# trigonometry

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In [1]:

import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline

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## Cosh, Sinh, Tanh

with rectangualr hyperbola

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In [6]:

x = np.linspace(0,1,100)
x2 = np.square(x)
y = np.sqrt(1- x2)

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In [7]:

plt.plot(x,y)

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Out[7]:

[<matplotlib.lines.Line2D at 0x119e05d68>]

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In [8]:

from sklearn.neural_network import MLPClassifier
from sklearn.datasets import make_moons

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In [9]:

X,y = make_moons(noise=0)

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In [16]:

len(X)

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Out[16]:

100

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In [34]:

x0 = list(map(lambda x:x[0], X))
x1 = list(map(lambda x:x[1], X))

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In [35]:

plt.scatter(x0,x1)

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Out[35]:

<matplotlib.collections.PathCollection at 0x11c8b4b70>

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In [36]:

X_quart,y_quart = make_moons(noise=0.25)
x0_quart = list(map(lambda x:x[0], X_quart))
x1_quart = list(map(lambda x:x[1], X_quart))

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Out[36]:

<matplotlib.collections.PathCollection at 0x11c90dfd0>

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In [41]:

plt.plot(x0_quart, 'rx')
plt.plot(x1_quart, 'go')

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Out[41]:

[<matplotlib.lines.Line2D at 0x11cdb7358>]

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In [ ]:

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