method
Generator.uniform(low=0.0, high=1.0, size=None)
Draw samples from a uniform distribution.
Samples are uniformly distributed over the half-open interval [low, high)
(includes low, but excludes high). In other words, any value within the given interval is equally likely to be drawn by uniform
.
Parameters: |
|
---|---|
Returns: |
|
See also
The probability density function of the uniform distribution is
anywhere within the interval [a, b)
, and zero elsewhere.
When high
== low
, values of low
will be returned. If high
< low
, the results are officially undefined and may eventually raise an error, i.e. do not rely on this function to behave when passed arguments satisfying that inequality condition.
Draw samples from the distribution:
>>> s = np.random.default_rng().uniform(-1,0,1000)
All values are within the given interval:
>>> np.all(s >= -1) True >>> np.all(s < 0) True
Display the histogram of the samples, along with the probability density function:
>>> import matplotlib.pyplot as plt >>> count, bins, ignored = plt.hist(s, 15, density=True) >>> plt.plot(bins, np.ones_like(bins), linewidth=2, color='r') >>> plt.show()
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Licensed under the 3-clause BSD License.
https://docs.scipy.org/doc/numpy-1.17.0/reference/random/generated/numpy.random.Generator.uniform.html