> -----Original Message-----
> From: Kent Johnson [mailto:[EMAIL PROTECTED]
> Sent: Monday, March 19, 2007 12:59 PM
> To: Carroll, Barry
> Cc: tutor@python.org
> Subject: Re: [Tutor] Making table
>
> Carroll, Barry wrote:
> >> -----Original Message-----
> >> Date: Mon, 19 Mar 2007 11:53:06 -0400
> >> From: Kent Johnson <[EMAIL PROTECTED]>
>
> >> Most string formatting conversions allow you to specify a width
> >> directly. For example,
> >> In [61]: value = 3.45678
> >> In [63]: "%10.3f" % value
> >> Out[63]: ' 3.457'
> >>
> >> Kent
> >>
> > What if one wished to align the values in each column at the decimal
> > point? Is there a simple means to do this in Python, or would one
need
> > to write a new function?
>
> If you specify the number of digits after the decimal point, that
number
> of digits will always be given, so columns will line up:
> In [86]: '%10.3f' % 1.2
> Out[86]: ' 1.200'
> In [87]: '%10.3f' % 1.23456
> Out[87]: ' 1.235'
>
> If you want something fancier I think you will have to do it yourself.
>
> Kent
Kent:
Thanks for your response. That method is certainly good enough for
general use. What about a case where the user needs to keep track of
significant digits? As an example, assume that the following values
(pulled arbitrarily from my head, I admit) are accurate to three
significant digits:
253.
77.6
9.03
.0210
Using a formatting string of "%10.4f", these would be rendered as:
' 253.0000'
' 77.6000
' 9.0300'
' 0.0210'
This formatting gives the impression that all values but the last are
more precise than they truly are. A scientist or statistician would
prefer to see something like this:
'254. '
' 77.6 '
' 9.03 '
' 0.0210'
Does numpy or some other math package have that capability?
Thanks again.
Barry
[EMAIL PROTECTED]
541-302-1107
________________________
We who cut mere stones must always be envisioning cathedrals.
-Quarry worker's creed
_______________________________________________
Tutor maillist - Tutor@python.org
http://mail.python.org/mailman/listinfo/tutor
