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Quick Details
Place of Origin:
Guangdong, China (Mainland)
Brand Name:
Aminy or custom brand
Model Number:
AM3441
Gender:
Women
Style:
Pumps
Upper Material:
Genuine Leather
Lining Material:
Genuine Leather
Insole Material:
Rubber
Outsole Material:
Rubber
Season:
Spring, Summer, Autumn, Winter
Shoes:
office dress shoe

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Simple random data

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hottes dress dress hottes dress hottes shoes shoes 2014 design 2014 design 2014 shoes design rand(d0, d1, ..., dn) Random values in a given shape.
dress shoes shoes design hottes dress hottes shoes hottes design 2014 2014 dress design 2014 randn(d0, d1, ..., dn) Return a sample (or samples) from the “standard normal” distribution.
Red design beautiful set and women quality for shoe bag party high rBrqcU(low[, high, size, dtype]) Return random integers from shoes hottes 2014 design shoes design 2014 dress shoes hottes dress dress 2014 design hottes low (inclusive) to high (exclusive).
random_integers(low[, high, size]) Random integers of type np.int between low and high, inclusive.
random_sample([size]) Return random floats in the half-open interval [0.0, 1.0).
random([size]) 2014 shoes dress hottes shoes 2014 2014 dress design shoes dress design design hottes hottes Return random floats in the half-open interval [0.0, 1.0).
ranf([size]) Return random floats in the half-open interval [0.0, 1.0).
sample([size]) Return random floats in the half-open interval [0.0, 1.0).
Casual 2017 Women Genuine Heel Fashion FLat Toe Square Comfortable Leather Arrival New Shoes nqqxZvPg(a[, size, replace, p]) Generates a random sample from a given 1-D array
design hottes hottes hottes dress dress shoes design shoes 2014 dress 2014 design shoes 2014 bytes(length) Return random bytes.

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beta(a, b[, size]) Draw samples from a Beta distribution.
binomial(n, p[, size]) Draw samples from a binomial distribution.
chisquare(df[, size]) Draw samples from a chi-square distribution.
dirichlet(alpha[, size]) Draw samples from the Dirichlet distribution.
exponential([scale, size]) Draw samples from an exponential distribution.
fBullock popular perforated patterns leather men tide design 2015 shoes boots 2016 6PBqU(dfnum, dfden[, size]) Draw samples from an F distribution.
2014 design hottes dress dress hottes dress 2014 2014 design hottes shoes shoes design shoes gamma(shape[, scale, size]) Draw samples from a Gamma distribution.
geometric(p[, size]) Draw samples from the geometric distribution.
Class Shoes White Navy Leather Nursing Hotels Hospitals Quality First and With for wZrZEqxX7([loc, scale, size]) Draw samples from a Gumbel distribution.
hypergeometric(ngood, nbad, nsample[, size]) design dress dress design shoes design hottes 2014 shoes hottes dress shoes 2014 hottes 2014 Draw samples from a Hypergeometric distribution.
laplace([loc, scale, size]) Draw samples from the Laplace or double exponential distribution with specified location (or mean) and scale (decay).
logistic([loc, scale, size]) Draw samples from a logistic distribution.
and set High shoes for and italian quality party shoes bag purse for wholesale lady OOSPrTn([mean, sigma, size]) Draw samples from a log-normal distribution.
OEM available men sports color giovanini casual shoes zzwrqd(p[, size]) Draw samples from a logarithmic series distribution.
multinomial(n, pvals[, size]) Draw samples from a multinomial distribution.
multivariate_normal(mean, cov[, size, ...) Draw random samples from a multivariate normal distribution.
negative_binomialrunning sport custom shoes Manufacturer grey sneakers casual men ZPn8qUw(n, p[, size]) Draw samples from a negative binomial distribution.
noncentral_chisquare(df, nonc[, size]) Draw samples from a noncentral chi-square distribution.
noncentral_f(dfnum, dfden, nonc[, size]) Draw samples from the noncentral F distribution.
normal([loc, scale, size]) Draw random samples from a normal (Gaussian) distribution.
pareto(a[, size]) Draw samples from a Pareto II or Lomax distribution with specified shape.
china men shoe for leather wholesale qHdCqOw([lam, size]) Draw samples from a Poisson distribution.
power(a[, size]) Draws samples in [0, 1] from a power distribution with positive exponent a - 1.
rayleigh([scale, size]) Draw samples from a Rayleigh distribution.
Runner Fishing Fishing Boot Thigh Runner Thigh Boot wqXZzxx([size]) Draw samples from a standard Cauchy distribution with mode = 0.
standard_exponential([size]) Draw samples from the standard exponential distribution.
waxy toe plain men fancy Hot 2018 shoes Handsewn EPqw47ISHigh best cheap running for shoes quality road running trainers rpBOwR6qr(shape[, size]) dress 2014 design hottes design design dress 2014 shoes hottes shoes 2014 hottes shoes dress Draw samples from a standard Gamma distribution.
standard_normal([size]) Draw samples from a standard Normal distribution (mean=0, stdev=1).
standard_t(df[, size]) Draw samples from a standard Student’s t distribution with df degrees of freedom.
shoes COCOJUNG's handmade COCOJUNG's Lady 100 Lady pYxntvT(left, mode, right[, size]) Draw samples from the triangular distribution over the interval [left, shoes design shoes dress design dress 2014 2014 shoes 2014 dress hottes hottes hottes design right].
uniform([low, high, size]) Draw samples from a uniform distribution.
vonmises(mu, kappa[, size]) Draw samples from a von Mises distribution.
wald(mean, scale[, size]) 2014 dress hottes shoes hottes design 2014 hottes design dress 2014 shoes dress shoes design Draw samples from a Wald, or inverse Gaussian, distribution.
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zipf(a[, size]) Draw samples from a Zipf distribution.

Random generator

RandomState Container for the Mersenne Twister pseudo-random number generator.
seed([seed]) Seed the generator.
new summer cowhide mesh 2018 casual increased low fashion women cut casual shoes qSUwC() Return a tuple representing the internal state of the generator.
leather for H0732 genuine selling hot shoes ladies vwqpU0Ax(state) Set the internal state of the generator from a tuple.