How to convert a number to binary?
Converting binary to base 10 is easy:
>>> int('', 2)
255
Converting base 10 number to hex or octal is easy:
>>> oct(100)
'0144'
>>> hex(100)
'0x64'
Is there an *easy* way to convert a number to binary?
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Re: How to convert a number to binary?
On May 17, 4:40 pm, Michael Bentley <[EMAIL PROTECTED]> wrote:
> On May 17, 2007, at 6:33 PM, Lyosha wrote:
>
> > Converting binary to base 10 is easy:
> >>>> int('', 2)
> > 255
>
> > Converting base 10 number to hex or octal is easy:
> >>>> oct(100)
> > '0144'
> >>>> hex(100)
> > '0x64'
>
> > Is there an *easy* way to convert a number to binary?
>
> def to_base(number, base):
> 'converts base 10 integer to another base'
>
> number = int(number)
> base = int(base)
> if base < 2 or base > 36:
> raise ValueError, "Base must be between 2 and 36"
> if not number:
> return 0
>
> symbols = string.digits + string.lowercase[:26]
> answer = []
> while number:
> number, remainder = divmod(number, base)
> answer.append(symbols[remainder])
> return ''.join(reversed(answer))
>
> Hope this helps,
> Michael
That's way too complicated... Is there any way to convert it to a one-
liner so that I can remember it? Mine is quite ugly:
"".join(str((n/base**i) % base) for i in range(20) if n>=base**i)
[::-1].zfill(1)
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Re: How to convert a number to binary?
On May 17, 11:04 pm, Stargaming <[EMAIL PROTECTED]> wrote: [...] > >>>Is there an *easy* way to convert a number to binary? [...] > > Wrote this a few moons ago:: > >dec2bin = lambda x: (dec2bin(x/2) + str(x%2)) if x else '' This is awesome. Exactly what I was looking for. Works for other bases too. I guess the reason I couldn't come up with something like this was being brainwashed that lambda is a no-no. And python2.5 funky ?: expression comes in handy! Thanks a lot! -- http://mail.python.org/mailman/listinfo/python-list
Re: How to convert a number to binary?
On May 17, 11:10 pm, Ben Finney <[EMAIL PROTECTED]> wrote: [...] > > That's way too complicated... Is there any way to convert it to a > > one- liner so that I can remember it? > > You put in a module so you don't *have* to remember it. > > Then, you use it in this one-liner: > > foo = to_base(15, 2) > > Carrying a whole lot of one-liners around in your head is a waste of > neurons. Neurons are far more valuable than disk space, screen lines, > or CPU cycles. While I agree with this general statement, I think remembering a particular one-liner to convert a number to a binary is more valuable to my brain than remembering where I placed the module that contains this function. I needed the one-liner not to save disk space or screen lines. It's to save time, should I need to convert to binary when doing silly little experiments. I would spend more time getting the module wherever it is I stored it (and rewriting it if it got lost). It's fun, too. -- http://mail.python.org/mailman/listinfo/python-list
Re: Inheriting from Python list object(type?)
On May 23, 12:07 pm, Mangabasi <[EMAIL PROTECTED]> wrote: > On May 23, 1:43 pm, "Jerry Hill" <[EMAIL PROTECTED]> wrote: > > > > > On 23 May 2007 11:31:56 -0700, Mangabasi <[EMAIL PROTECTED]> wrote: > > > > When I modified this to: > > > > class Point(list): > > > def __init__(self,x,y): > > > super(Point, self).__init__([x, y]) > > > self.x = x > > > self.y = y > > > > It worked. > > > Are you sure? > > > >>> p = Point(10, 20) > > >>> p > > [10, 20] > > >>> p.x > > 10 > > >>> p.x = 15 > > >>> p > > [10, 20] > > >>> p[0] > > 10 > > >>> p.x > > 15 > > > That doesn't look like what you were asking for in the original post. > > I'm afraid I don't know anything about numpy arrays or what special > > attributes an object may need to be put into a numpy array though. > > > -- > > Jerry > > This is the winner: > > class Point(list): > def __init__(self, x, y, z = 1): > super(Point, self).__init__([x, y, z]) > self.x = x > self.y = y > self.z = z [...] http://docs.python.org/dev/whatsnew/node3.html announces named tuples in python2.6. This is not what you want since tuples are immutable, but you might get some inspiration from their implementation. Or maybe not. -- http://mail.python.org/mailman/listinfo/python-list
Re: Inheriting from Python list object(type?)
On May 23, 12:07 pm, Mangabasi <[EMAIL PROTECTED]> wrote: > On May 23, 1:43 pm, "Jerry Hill" <[EMAIL PROTECTED]> wrote: > > > > > On 23 May 2007 11:31:56 -0700, Mangabasi <[EMAIL PROTECTED]> wrote: > > > > When I modified this to: > > > > class Point(list): > > > def __init__(self,x,y): > > > super(Point, self).__init__([x, y]) > > > self.x = x > > > self.y = y > > > > It worked. > > > Are you sure? > > > >>> p = Point(10, 20) > > >>> p > > [10, 20] > > >>> p.x > > 10 > > >>> p.x = 15 > > >>> p > > [10, 20] > > >>> p[0] > > 10 > > >>> p.x > > 15 > > > That doesn't look like what you were asking for in the original post. > > I'm afraid I don't know anything about numpy arrays or what special > > attributes an object may need to be put into a numpy array though. > > > -- > > Jerry > > This is the winner: > > class Point(list): > def __init__(self, x, y, z = 1): > super(Point, self).__init__([x, y, z]) > self.x = x > self.y = y > self.z = z [...] http://docs.python.org/dev/whatsnew/node3.html announces named tuples in python2.6. This is not what you want since tuples are immutable, but you might get some inspiration from their implementation. Or maybe not. -- http://mail.python.org/mailman/listinfo/python-list
Re: Inheriting from Python list object(type?)
On May 23, 12:07 pm, Mangabasi <[EMAIL PROTECTED]> wrote: > On May 23, 1:43 pm, "Jerry Hill" <[EMAIL PROTECTED]> wrote: > > > > > On 23 May 2007 11:31:56 -0700, Mangabasi <[EMAIL PROTECTED]> wrote: > > > > When I modified this to: > > > > class Point(list): > > > def __init__(self,x,y): > > > super(Point, self).__init__([x, y]) > > > self.x = x > > > self.y = y > > > > It worked. > > > Are you sure? > > > >>> p = Point(10, 20) > > >>> p > > [10, 20] > > >>> p.x > > 10 > > >>> p.x = 15 > > >>> p > > [10, 20] > > >>> p[0] > > 10 > > >>> p.x > > 15 > > > That doesn't look like what you were asking for in the original post. > > I'm afraid I don't know anything about numpy arrays or what special > > attributes an object may need to be put into a numpy array though. > > > -- > > Jerry > > This is the winner: > > class Point(list): > def __init__(self, x, y, z = 1): > super(Point, self).__init__([x, y, z]) > self.x = x > self.y = y > self.z = z [...] http://docs.python.org/dev/whatsnew/node3.html announces named tuples in python2.6. This is not what you want since tuples are immutable, but you might get some inspiration from their implementation. Or maybe not. -- http://mail.python.org/mailman/listinfo/python-list
Re: Inheriting from Python list object(type?)
On May 23, 12:19 pm, Lyosha <[EMAIL PROTECTED]> wrote: > On May 23, 12:07 pm, Mangabasi <[EMAIL PROTECTED]> wrote: > > > On May 23, 1:43 pm, "Jerry Hill" <[EMAIL PROTECTED]> wrote: > > > > On 23 May 2007 11:31:56 -0700, Mangabasi <[EMAIL PROTECTED]> wrote: > > > > > When I modified this to: > > > > > class Point(list): > > > > def __init__(self,x,y): > > > > super(Point, self).__init__([x, y]) > > > > self.x = x > > > > self.y = y > > > > > It worked. > > > > Are you sure? > > > > >>> p = Point(10, 20) > > > >>> p > > > [10, 20] > > > >>> p.x > > > 10 > > > >>> p.x = 15 > > > >>> p > > > [10, 20] > > > >>> p[0] > > > 10 > > > >>> p.x > > > 15 > > > > That doesn't look like what you were asking for in the original post. > > > I'm afraid I don't know anything about numpy arrays or what special > > > attributes an object may need to be put into a numpy array though. > > > > -- > > > Jerry > > > This is the winner: > > > class Point(list): > > def __init__(self, x, y, z = 1): > > super(Point, self).__init__([x, y, z]) > > self.x = x > > self.y = y > > self.z = z > > [...] > > http://docs.python.org/dev/whatsnew/node3.htmlannounces named tuples > in python2.6. This is not what you want since tuples are immutable, > but you might get some inspiration from their implementation. Or > maybe not. Dude, google groups suck! They say "an error has occurred" and the message is happily posted. -- http://mail.python.org/mailman/listinfo/python-list
