random

np.random子產品

1、rand(d0, d1, ..., dn)

Random values in a given shape.

Create an array of the given shape and populate it with random samples from a uniform distribution over [0,1).

2、randn(d0, d1, ..., dn)

Return a sample (or samples) from the “standard normal” distribution.

3、randint(low[, high, size, dtype])

Return random integers from low (inclusive) to high (exclusive).

Return random integers from the “discrete uniform” distribution of the specified dtype in the “half-open” interval [low, high). If high is None (the default), then results are from [0, low).

4、random_integers(low[, high, size])

Random integers of type np.int between low and high, inclusive.

5、random_sample([size])

Return random floats in the half-open interval [0.0, 1.0).

Results are from the “continuous uniform” distribution over the stated interval. To sample Unif[a, b), b > a multiply the output of random_sample by (b-a) and add a:

6、random([size])

7、ranf([size])

8、sample([size])

9、choice(a[, size, replace, p])

Generates a random sample from a given 1-D array

10、bytes(length) Return random bytes.

1、np.ones(shape, dtype=None, order=’C’)

Return a new array of given shape and type, filled with ones.

2、np.zeros(shape, dtype=float, order=’C’)

Return a new array of given shape and type, filled with zeros.

3、np.eye(N, M=None, k=0, dtype=<type ‘float’>)

Return a 2-D array with ones on the diagonal and zeros elsewhere.

内置random子產品

1、random.gauss(mu, sigma)　　Gaussian distribution高斯分布

mu-->mean, sigma-->standard deviation

2、random.normavariate(mu, sigma)　　Nomal distribution正态分布

3、random.shuffle(x, random=None)

shuffle list x in place and return None.原地清洗清單x并傳回None

4、random.choice(seq)

Choose a random element from a non-empty sequence.從非空序列中随機選擇一個元素。

5、random.randint(a, b)

Return random integer in range [a, b], including both end points.從閉區間[a,b]傳回一個随機整數.

6、random.random()　　在區間[0, 1)随機生成一個小數

7、random.uniform(a, b)

Get a random number in the range [a, b) or [a, b] depending on rounding.根據數值修約在區間[a, b]傳回一個随機數