larray.random.randint¶

larray.random.
randint
(low, high=None, axes=None, dtype='l', meta=None)[source]¶ Return random integers from low (inclusive) to high (exclusive).
Return random integers from the “discrete uniform” distribution of the specified dtype in the “halfopen” interval [low, high). If high is None (the default), then results are from [0, low).
 Parameters
 lowint
Lowest (signed) integer to be drawn from the distribution (unless
high=None
, in which case this parameter is one above the highest such integer). highint, optional
If provided, one above the largest (signed) integer to be drawn from the distribution (see above for behavior if
high=None
). axesint, tuple of int, str, Axis or tuple/list/AxisCollection of Axis, optional
Axes (or shape) of the resulting array. If
axes
is None (the default), a single value is returned. Otherwise, if the resulting axes have a shape of, e.g.,(m, n, k)
, thenm * n * k
samples are drawn. dtypedatatype, optional
Desired dtype of the result. All dtypes are determined by their name, i.e., ‘int64’, ‘int’, etc, so byteorder is not available and a specific precision may have different C types depending on the platform. The default value is ‘np.int’.
 metalist of pairs or dict or OrderedDict or Metadata, optional
Metadata (title, description, author, creation_date, …) associated with the array. Keys must be strings. Values must be of type string, int, float, date, time or datetime.
 Returns
 LArray
Examples
Generate a single int between 0 and 9, inclusive:
>>> la.random.randint(10) # doctest: +SKIP 6
Generate an array of 10 ints between 1 and 5, inclusive:
>>> la.random.randint(1, 6, 10) # doctest: +SKIP {0}* 0 1 2 3 4 5 6 7 8 9 1 1 5 1 5 4 3 4 2 1
Generate a 2 x 3 array of ints between 0 and 4, inclusive:
>>> la.random.randint(5, axes=(2, 3)) # doctest: +SKIP {0}*\{1}* 0 1 2 0 4 4 1 1 1 2 2 >>> la.random.randint(5, axes='a=a0,a1;b=b0..b2') # doctest: +SKIP a\b b0 b1 b2 a0 0 3 1 a1 4 0 1