On Mon, 2005-01-24 at 16:15 +0100, Jean-Luc Menut wrote:

Hello,

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numarray and Numeric, consciously, don't work that way. So, no, you can't expect that.

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rank-0 yes, silent truncation no.

I'm sorry, I don't understand very well what is a silent truncation.

By silent truncation, I mean the fact that 1.1 is floored to 1 without an exception or warning.

When I write :

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a = array([[1, 2],[3, 4]])

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a[0,0]=1.1

I cannot expect to have a = array([[1.1, 2],[3, 4]]) ?

This works and the result will be a Float64 array containing 1.1, 2.0, ...

How can I solve this problem ? is it possible to force an array to be an array of float ?

Sure. For numarray or Numeric: a = array([[1, 2],[3, 4]], typecode=Float64)