[Numpy] random.normal 정규분포

참고 링크 : https://numpy.org/doc/stable/reference/random/generated/numpy.random.normal.html

무작위 표존 추출

 

random.normal(loc=0.0, scale=1.0, size=None)

Draw random samples from a normal (Gaussian) distribution.

 

Parameters:

(평균)loc : float or array_like of floats : Mean (“centre”) of the distribution.

(표준편차)scale : float or array_like of floats : Standard deviation (spread or “width”) of the distribution. Must be non-negative.

(데이터 개수)size : int or tuple of ints, optional : Output shape. If the given shape is, e.g., (m, n, k), then m * n * k samples are drawn. If size is None (default), a single value is returned if loc and scale are both scalars. Otherwise, np.broadcast(loc, scale).size samples are drawn.

 

Returns : out : ndarray or scalar

Drawn samples from the parameterized normal distribution.

 

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matplot 사용 예시

n_data = 100
s_idx = 30
x_data = np.arange(s_idx, s_idx + n_data)
y_data = np.random.normal(0, 1, (n_data,))

fig, ax = plt.subplots(figsize=figsize)
ax.plot(x_data, y_data)

fig.tight_layout(pad=1) #pad : Padding between the figure edge and the edges of subplots. 여백
x_ticks = \
    np.arange(s_idx, s_idx + n_data + 1, step=29)
ax.set_xticks(x_ticks)

ax.tick_params(labelsize=15)
ax.grid()
plt.show()

 

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