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Quick Details
Place of Origin:
Sichuan, China (Mainland)
Brand Name:
HEIMAKE
Model Number:
Y0108009
Gender:
Women
Upper Material:
Genuine Leather
Lining Material:
PU
Insole Material:
EVA
Outsole Material:
Rubber
Style:
Lace-Up
Season:
Autumn, Spring, Summer
Key words:
casual shoes
Name:
Genuine Leather Men Casual Shoes
Color:
Color
ODM/OEM:
Available
Upper Material:
Genuine Leather
feature:
shoes for women pumps
insole Material:
PU or Genuine leather
Size:
35-41
Heel:
2cm
MOQ:
60 Pair

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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]) women's shoes alibaba wholesale 2018 design casual new oxford 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).
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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.
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hypergeometric(ngood, nbad, nsample[, size]) design shoes casual alibaba 2018 women's oxford new wholesale 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).
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multinomial(n, pvals[, size]) Draw samples from a multinomial distribution.
multivariate_normal(mean, cov[, size, ...) Draw random samples from a multivariate normal distribution.
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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.
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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.
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standard_exponential([size]) Draw samples from the standard exponential distribution.
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standard_t(df[, size]) Draw samples from a standard Student’s t distribution with df degrees of freedom.
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uniform([low, high, size]) Draw samples from a uniform distribution.
vonmises(mu, kappa[, size]) Draw samples from a von Mises distribution.
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Random generator

RandomState Container for the Mersenne Twister pseudo-random number generator.
seed([seed]) Seed the generator.
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