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Hello All,
I need some help with random number generation. What I
need exactly is:
To create a few thousand numbers, decimal and
integers, between 5 and 90,
and then to export them as a single column at a
spreadsheet.
I am newbie, I was not able to create decimals with
the random modules of
Python 2.3.
Thanks, Dimos
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Dimos <di**************@yahoo.com> wrote: Hello All,
I need some help with random number generation. What I need exactly is:
To create a few thousand numbers, decimal and integers, between 5 and 90, and then to export them as a single column at a spreadsheet.
I am newbie, I was not able to create decimals with the random modules of Python 2.3.
The random module lets you create floats and integers, not instances of
class decimal.Decimal (surely not in 2.3, which didn't even HAVE a
module decimal in its standard library!). If you want floats, the way
to create a float with uniform distribution between 5 and 90 is to call
random.uniform(5, 90). If you want 3000:
r3k = [random.uniform(5, 90) for i in xrange(3000)]
None of the 3k numbers will be integers, and it's unlikely that any of
the 3k floats happens to have a fractional part that's exactly 0. If
you do want integers as well as floats, you'll have to decide with what
probability an integer must appear instead of a float, and do a second
pass on r3k to enforce this.
Alex  
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Dimos wrote: Hello All,
I need some help with random number generation. What I need exactly is:
To create a few thousand numbers, decimal and integers, between 5 and 90, and then to export them as a single column at a spreadsheet.
I am newbie, I was not able to create decimals with the random modules of Python 2.3.
You use randint(a,b) to generate an integer between a and b.
For real numbers, the function is random(). But that result is
always between 0.0 and 1.0, so you have to make the range
adjustment yourself. import random for i in range(10):
print random.random()*85 + 5
20.2844473176
83.5690712033
77.3459998722
8.79906993754
53.3672450881
25.2609744882
19.8894951301
39.9794852838
43.4056977237
21.7770662903 Thanks, Dimos
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On Sun, 11 Dec 2005 09:46:33 0800 (PST), Dimos <di**************@yahoo.com> wrote: Hello All,
I need some help with random number generation. What I need exactly is:
To create a few thousand numbers, decimal and integers, between 5 and 90, and then to export them as a single column at a spreadsheet.
I am newbie, I was not able to create decimals with the random modules of Python 2.3.
Others have mentioned random.random and, better for your use case,
random.uniform, but I'm not sure what you mean by "decimal and integers".
Theoretically, the chances of getting an integer from a uniformly random
sample from an interval of real numbers is practically zero, and even
allowing for IEEE 754 double representation, the realtive population of
integers vs nonintegers is pretty low. So what do you mean by "integer"?
And what by "decimals"?
If you just want an artificial sprinkling of exact integer values to
happen some percentage of the time, you could do something like from random import uniform, random def urnmix(nnum=20, lo=5, hi=90, percentint=25):
... percentint /= 100.
... for _ in xrange(nnum):
... u = uniform(5, 90)
... if random()<percentint: u = round(u)
... yield u
... for u in urnmix(12): print '%6.3f'%u,
...
9.000 38.173 59.829 37.090 80.504 34.000 69.989 26.000 72.502 64.000 55.000 9.043 for u in urnmix(12): print '%6.3f'%u,
...
10.000 67.687 70.323 66.672 17.150 68.447 84.406 6.997 82.444 8.001 82.946 34.849 for u in urnmix(12): print '%6.3f'%u,
...
70.000 64.000 36.537 75.270 67.000 70.873 28.446 18.483 75.086 41.703 82.885 30.558 for u in urnmix(12): print '%6.3f'%u,
...
75.000 78.313 76.873 48.364 12.000 40.000 36.962 27.704 8.814 44.078 61.000 35.654
Hm, let's check the percentages
[u==int(u) for u in urnmix(12)]
[True, False, False, False, False, True, True, True, True, False, True, False] [u==int(u) for u in urnmix(12)].count(True)
2 [u==int(u) for u in urnmix(12)].count(True)
4 [u==int(u) for u in urnmix(10000)].count(True)
2471 [u==int(u) for u in urnmix(10000)].count(True)
2539
Seems to work ...
[u==int(u) for u in urnmix(10000, 5, 90, 5)].count(True)
497 [u==int(u) for u in urnmix(10000, 5, 90, 1)].count(True)
111 [u==int(u) for u in urnmix(10000, 5, 90, 1)].count(True)
87 [u==int(u) for u in urnmix(10000, 5, 90, 1)].count(True)
113
After all this playing, what was it you actually wanted? ;)
Regards,
Bengt Richter  
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 bo**@oz.net (Bengt Richter) writes: Theoretically, the chances of getting an integer from a uniformly random sample from an interval of real numbers is practically zero, and even allowing for IEEE 754 double representation,
Well, if we're going to be picky, the chances of getting a number with
an IEEE 754 representation from a uniformly random sample from an
interval of real numbers is practically zero. Of course, this is true
for *any* finite subset of the reals (such as the set of numbers that
have names that can be pronounced in the average human lifespan), and
probably an infinite number of infinite subsets as well.
But I tend to pick irrationals when asked to "pick a number between 1
and 10."
So what do you mean by "integer"? And what by "decimals"?
I think we should start by finding out what he means by "number",
which is apparently a superset of both what he means by "integer" and
"decimals".
<mike

Mike Meyer <mw*@mired.org> http://www.mired.org/home/mwm/
Independent WWW/Perforce/FreeBSD/Unix consultant, email for more information.   This discussion thread is closed Replies have been disabled for this discussion.   Question stats  viewed: 3664
 replies: 4
 date asked: Dec 11 '05
