On Sep 29, 5:04 pm, Ivan Reborin <[EMAIL PROTECTED]> wrote: > Hello everyone, > > I was wondering if anyone here has a moment of time to help me with 2 > things that have been bugging me. > > 1. Multi dimensional arrays - how do you load them in python > For example, if I had: > ------- > 1 2 3 > 4 5 6 > 7 8 9 > > 10 11 12 > 13 14 15 > 16 17 18 > ------- > with "i" being the row number, "j" the column number, and "k" the .. > uhmm, well, the "group" number, how would you load this ? > > If fortran90 you would just do: > > do 10 k=1,2 > do 20 i=1,3 > > read(*,*)(a(i,j,k),j=1,3) > > 20 continue > 10 continue > > How would the python equivalent go ? > > 2. I've read the help on the next one but I just find it difficult > understanding it. > I have; > a=2.000001 > b=123456.789 > c=1234.0001 > > How do you print them with the same number of decimals ? > (eg. 2.000, 123456.789, 1234.000)
>>> print '%0.3f' % 2.000001 2.000 >>> print '%0.3f' % 123456.789 123456.789 >>> print '%0.3f' % 1234.0001 1234.000 > and how do you print them with the same number of significant > decimals? > (eg. 2.000001, 123456.7, 1234.000 - always 8 decimals) ? Your examples are 7 decimals (and you're not rounding). Here's what 8 looks like (note that it's %0.7e because there is always one digit to the left of the decimal point.) >>> print '%0.7e' % 2.000001 2.0000010e+00 >>> print '%0.7e' % 123456.789 1.2345679e+05 >>> print '%0.7e' % 1234.0001 1.2340001e+03 If you actually meant 7, then use %0.6e: >>> print '%0.6e' % 2.000001 2.000001e+00 >>> print '%0.6e' % 123456.789 1.234568e+05 >>> print '%0.6e' % 1234.0001 1.234000e+03 > > Is something like this possible (built-in) in python ? You can do more with gmpy. > > Really grateful for all the help and time you can spare. > > -- > Ivan -- http://mail.python.org/mailman/listinfo/python-list
