On 3/13/2015 12:01 PM, Robert Kern wrote:
Roughly equivalent to:
uni = np.array([
np.random.uniform(-0.5, 201),
np.random.uniform(0.5, 201),
])
OK, broadcasting of `low` and `high` is reasonably fun.
But is it documented?
I was looking at the docstring, which matches the online
Today I accidentally wrote `uni = np.random.uniform((-0.5,0.5),201)`,
supply a tuple instead of separate low and high values. This gave
me two draws (from [0..201] I think). My question: how were the
arguments interpreted?
Thanks,
Alan Isaac
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On Fri, Mar 13, 2015 at 3:57 PM, Alan G Isaac alan.is...@gmail.com wrote:
Today I accidentally wrote `uni = np.random.uniform((-0.5,0.5),201)`,
supply a tuple instead of separate low and high values. This gave
me two draws (from [0..201] I think). My question: how were the
arguments
`low` and `high` can be arrays so, you received 1 draw from (-0.5, 201) and
1 draw from (0.5, 201).
Eric
On Fri, Mar 13, 2015 at 11:57 AM, Alan G Isaac alan.is...@gmail.com wrote:
Today I accidentally wrote `uni = np.random.uniform((-0.5,0.5),201)`,
supply a tuple instead of separate low and
On Fr, 2015-03-13 at 11:57 -0400, Alan G Isaac wrote:
Today I accidentally wrote `uni = np.random.uniform((-0.5,0.5),201)`,
supply a tuple instead of separate low and high values. This gave
me two draws (from [0..201] I think). My question: how were the
arguments interpreted?
I think all
