In-place type conversion of a NumPy array

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Given a NumPy array of int32, how do I convert it to float32 in place? So basically, I would like to do

a = a.astype(numpy.float32)

without copying the array. It is big.

The reason for doing this is that I have two algorithms for the computation of a. One of them returns an array of int32, the other returns an array of float32 (and this is inherent to the two different algorithms). All further computations assume that a is an array of float32.

Currently I do the conversion in a C function called via ctypes. Is there a way to do this in Python?

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We hope this article has helped you to resolve the problem. Apart from In-place type conversion of a NumPy array, check other array Python module-related topics.

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Frank Innsbruck

Berlin | 2023-01-31

io Python module is always a bit confusing 😭 In-place type conversion of a NumPy array is not the only problem I encountered. Will use it in my bachelor thesis

Anna Wu

Warsaw | 2023-01-31

Simply put and clear. Thank you for sharing. In-place type conversion of a NumPy array and other issues with ast Python module was always my weak point 😁. Checked yesterday, it works!

Anna Richtgofen

California | 2023-01-31

I was preparing for my coding interview, thanks for clarifying this - In-place type conversion of a NumPy array in Python is not the simplest one. Will get back tomorrow with feedback

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