On 7/6/06, Travis Oliphant <[EMAIL PROTECTED]> wrote:
> Mathew Yeates wrote:
>
> >Not working.
> >A[row,all_dates == 10] = -1 where all_dates is a matrix with column
> >length of 14 [[960111,..,..
> >and A is a matrix with same column length
> >
> >I get
> >IndexError: arrays used as indices must be of integer type
> >
> >when I print out all_dates == 10
> >I get
> >[True True True True True True True True True False False False True True]]
> >
> >I experimented with "<" instead of "==" but I still get boolean values
> >as indices.
> >
> >Any help?
> >
> >
> What version are you using? Can you give an example that shows the
> error. It's hard to guess the type of all the variables. The following
> works for me.
>
> import numpy
> print numpy.__version__
> A = numpy.matrix(rand(3,14))
> all_dates = array([10,10,1,10,1,10,0,10,0,10,0,1,10,1])
> row = 2
> A[row, all_dates == 10]
This is what NASA is doing (and what I would like to do):
>> A[row, asmatrix(all_dates == 10)]
---------------------------------------------------------------------------
exceptions.ValueError Traceback (most
recent call last)
/home/kwg/<ipython console>
/usr/local/lib/python2.4/site-packages/numpy/core/defmatrix.py in
__getitem__(self, index)
122
123 def __getitem__(self, index):
--> 124 out = N.ndarray.__getitem__(self, index)
125 # Need to swap if slice is on first index
126 # or there is an integer on the second
ValueError: too many indices for array
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