CW,
thanx for the reply..but i was looking for a mapping BTW each item of
a numpy.ndarray and the corresponding column of a numpy.matrix ,after
some struggle :-) i came up with this
#a function to return a column from a matrix
def getcol(data, colindex):
return data[:,colindex] #returns a matrix obj
#function to set a column of a matrix with a given matrix
def setcol(data, inmat,colindex):
data[:,colindex]=inmat #both data and inmat are matrix objs
#now i have an ndarray with 5 elements
evalarray=array(([11.0,33.0,22.0,55.0,44.0]))
#and a matrix with 5 columns
evectmat=matrix(([1.3,2.5,3.2,6.7,3.1],
[9.7,5.6,4.8,2.5,2.2],
[5.1,3.7,9.6,3.1,6.7],
[5.6,3.3,1.5,2.4,8.5]
))
the first column of evectmat corresponds to first element of evalarray
and so on..
then i did this
mydict=dict(
[(evalarray[x],getcol(evectmat,x)) for x in range(len(evalarray))]
)
klst=mydict.keys()
klst.sort()
klst.reverse() #because i want the largest value as first
newevectmat=matrix(zeros((4,5)))
for x in range(len(klst)):
newcol=mydict[klst[x]]
setcol(newevectmat,newcol,x)
print "newevectmat:"
print newevectmat
this gives me the desired result..now i have a new matrix with columns
arranged corresponding to the values of evalarray
i don't know if this is a good way(or even pythonish ) to do it..i am
a beginner afterall.!. any suggestions most welcome
TIA
dn
>
> from numpy import matrix, asarray
> obj = matrix(([1.3,2.5,3.2,6.7,3.1],
> [9.7,5.6,4.8,2.5,2.2],
> [5.1,3.7,9.6,3.1,6.7],
> [5.6,3.3,1.5,2.4,8.5]))
> ar = asarray(obj)
> val_to_col_list = []
> for row in ar:
> for ind,val in enumerate(row):
> val_to_col_list.append((val,ind))
> val_to_col_list.sort()
>
> If instead you require a map, such that each value maps to a list of the
> columns it appears in, you could try the following:
>
> val_col_map = {}
> for row in ar:
> for col,val in enumerate(row):
> tmplist=val_col_map.get(val,[])
> tmplist.append(col)
> val_col_map[val]=tmplist
> val_keys = val_col_map.keys()
> val_keys.sort()
>
> val_keys is now a sorted list of unique values from your original
> matrix. Use these values as keys for val_col_map.
>
> Eww... but it works. You'll want to be really careful with floating
> point numbers as keys, seehttp://docs.python.org/tut/node16.htmlfor
> more details.
>
> Best of luck,
>
> Cameron.
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