numpy saves the day.
import numpy
A = numpy.loadtxt('foo.data') #A is a float array
B = M.astype(int) #B is an int array
M = Matrix(RDF, list(A)) #M is a RDF matrix
N = Matrix(ZZ, list(B)) #N is an Integer matrix
On Thu, 10 Jan 2008, David Roe wrote:
> One way to do it is to use the Python functions on strings. For example, if
> you want to use the real double field (RDF) and matrix_data is your string,
> the following should do what you want:
> M = matrix(RDF, [b.split() for b in matrix_data.split('\n')])
>
> The split method of a string creates a list of substrings that are separated
> by a given separator, and the default separator is whitespace.
> See the documentation on RDF to see if you want to use that, or RR or
> something else.
> David
>
> On Jan 10, 2008 11:42 AM, myFalc <[EMAIL PROTECTED]> wrote:
>
>>
>> Hello!
>> I'm new to sage and I already searched for a solution on the web, but
>> couldn't find any.
>> At the moment I'm trying to load a file into sage and put its data
>> into a matrix. The file spans a matrix of thousands of float values.
>> columns separated by whitespaces and rows separated by newlines.
>> I was able to load the data into a string(or list) but i couldn't find
>> out how to put the data into a matrix.
>> e.g. M = Matrix(10,2,(string)) is not working.
>> anyone with ideas or solutions?
>>
>> i used octave before, and it worked really easy there. unfortunately i
>> can't use the octave load commands in sage since there are semicolons
>> needed for the command which result in a syntax error.
>>
>> greetings
>> markus
>>
>>>
>>
>
> >
>
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