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numpy.random.py
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from typing import *
# usage.scipy: 2
# usage.seaborn: 7
Generator: object
# usage.dask: 5
# usage.networkx: 7
# usage.orange3: 4
# usage.pandas: 4
# usage.scipy: 9
# usage.seaborn: 3
# usage.skimage: 1
# usage.sklearn: 22
# usage.statsmodels: 3
RandomState: object
# usage.statsmodels: 4
beta: object
# usage.statsmodels: 5
binomial: object
# usage.dask: 20
# usage.koalas: 1
# usage.orange3: 2
# usage.pandas: 15
# usage.scipy: 4
# usage.skimage: 2
# usage.statsmodels: 2
# usage.xarray: 2
choice: object
# usage.scipy: 3
dirichlet: object
# usage.scipy: 2
# usage.statsmodels: 2
exponential: object
# usage.statsmodels: 2
gamma: object
# usage.matplotlib: 1
# usage.scipy: 1
lognormal: object
# usage.dask: 1
multinomial: object
# usage.orange3: 4
# usage.scipy: 3
# usage.sklearn: 3
# usage.statsmodels: 8
multivariate_normal: object
# usage.dask: 11
# usage.matplotlib: 22
# usage.orange3: 1
# usage.pandas: 6
# usage.scipy: 36
# usage.skimage: 6
# usage.sklearn: 1
# usage.statsmodels: 475
normal: object
# usage.scipy: 5
pareto: object
# usage.statsmodels: 4
poisson: object
# usage.scipy: 19
# usage.skimage: 20
rand: object
# usage.dask: 70
# usage.koalas: 5
# usage.matplotlib: 3
# usage.modin: 32
# usage.orange3: 5
# usage.pandas: 84
# usage.scipy: 18
# usage.skimage: 15
# usage.sklearn: 8
# usage.statsmodels: 46
# usage.xarray: 2
randint: object
# usage.pandas: 4
# usage.scipy: 20
# usage.skimage: 15
# usage.xarray: 6
randn: object
# usage.dask: 15
# usage.pandas: 11
# usage.scipy: 9
# usage.xarray: 4
random: object
# usage.networkx: 2
# usage.scipy: 1
random_sample: object
# usage.dask: 1
# usage.matplotlib: 1
# usage.skimage: 5
seed: object
# usage.scipy: 1
standard_cauchy: object
# usage.statsmodels: 2
standard_normal: object
# usage.dask: 1
# usage.matplotlib: 3
# usage.orange3: 5
# usage.pandas: 2
# usage.scipy: 28
# usage.skimage: 24
# usage.sklearn: 4
# usage.statsmodels: 67
# usage.xarray: 1
uniform: object