September 21, 2021 / Viewed: 183 / Comments: 0 / Edit

Examples of how to convert a matrix of floats into a matrix of integers with numpy in python:

Let's first create a matrix of random floats with numpy:

`import numpy as np`

`data = np.random.rand(4,5) * 100.0`

`data`

returns for example

`array([[66.09124948, 68.46065421, 22.16897645, 77.84098663, 44.46296743],`

`[16.41751266, 63.95374579, 86.87471262, 93.30928078, 59.99831054],`

`[90.28468277, 72.28498272, 42.50043126, 41.53685781, 18.79383665],`

`[96.91022221, 76.97924353, 80.93969912, 65.56091301, 6.87342516]])`

Check the type of a matrix

`data.dtype`

gives here:

`dtype('float64')`

To convert a matrix of floats into a matrix of integers, a solution is to use numpy.ndarray.astype

`data = data.astype(int)`

`data`

gives then

`array([[66, 68, 22, 77, 44],`

`[16, 63, 86, 93, 59],`

`[90, 72, 42, 41, 18],`

`[96, 76, 80, 65, 6]])`

Note than:

`data.dtype`

gives

`dtype('int64')`

License

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