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Numpy 항목별 적용하는 함수(ufunc)¶
https://docs.scipy.org/doc/numpy-1.15.1/reference/ufuncs.html
설명x, 밑에보면 다양한 함수들이 나와있다.
136p
In [7]:
import numpy as np
np.floor(1.1), np.ceil(1.1), np.floor(1.0), np.ceil(1.0)
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In [1]:
import numpy as np
import matplotlib.pyplot as plt
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a = np.arange(9).reshape(3,3)
a
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In [37]:
np.square(a)
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a ** 2
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np.sqrt(a)
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a ** 0.5
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np.exp(a)
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np.log(a)
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np.add(a, 1)
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np.multiply(a,2)
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np.maximum(a,5) # a와 5중에서 큰 값을 적용
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b = np.random.randn(5,5)
b
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np.maximum(b,0)
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np.abs(b)
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np.sign(b)
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c = np.arange(100)
plt.plot(c)
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c = np.arange(10)
d = np.power(c,2)
plt.plot(c)
plt.plot(d)
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c=np.arange(10)
d=np.log(c+1)
plt.plot(c)
plt.plot(d)
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c=np.arange(0.0001,10,0.0001)
d=np.log(c)
plt.plot(c)
plt.plot(d)
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In [48]:
c = np.arange(0.01, 1, 0.01)
d = 1/c
plt.plot(c)
plt.plot(d)
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In [24]:
c = np.arange(-10,10) # 어떤 값보다 클때만 신호를 주고 싶을때
d = np.maximum(c,0)
plt.plot(c)
plt.plot(d)
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In [27]:
rng = np.arange(-5,5,0.1)
sigmoid = 1/(1+np.exp(-rng))
plt.plot(rng, sigmoid)
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In [26]:
rng = np.arange(-5,5,0.1)
sigmoid = 1/(1+np.exp(-rng))
plt.plot(rng, sigmoid)
plt.hlines([0,0.5,1],-5,5, linestyles=':')
plt.vlines([0],0,1, linestyles='--')
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-5~5 사이에 0.1 간격으로 숫자를 뽑아낸다.¶
In [35]:
np.arange(-5,5,0.1) #간격 0.1
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In [36]:
np.linspace(-5,5,101) #개수 101개
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