Fashion sport basketball action men's shoes xqATFx Fashion sport basketball action men's shoes xqATFx Fashion sport basketball action men's shoes xqATFx
Quick Details
Place of Origin:
Fujian, China (Mainland)
Brand Name:
OEM/ODM
Model Number:
CA18335-1
Insole Material:
TPR
Season:
Autumn, Spring, summer, Winter
Outsole Material:
TPR
Upper Material:
PU
Lining Material:
Cotton Fabric
Gender:
Men
Color:
Various Custom Colors
Size:
36-45#
Style:
Lace-up or slip on or hook and loop fastener
Certification:
ISO9001
Use:
Outdoor
Catalogue:
Yes
Type:
Running shoes

Fashion sport basketball action men's shoes xqATFx

Simple random data

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shoes men's Fashion sport action basketball randn(d0, d1, ..., dn) Return a sample (or samples) from the “standard normal” distribution.
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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]) shoes action sport Fashion men's basketball 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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shuffle(x) Modify a sequence in-place by shuffling its contents.
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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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geometric(p[, size]) Draw samples from the geometric distribution.
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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.
negative_binomialCasual Shoes Diy Style New China Best Leather XwfpxXq(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.
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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.
wald(mean, scale[, size]) sport shoes basketball men's action Fashion Draw samples from a Wald, or inverse Gaussian, 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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