Active September 21, 2021    /    Viewed 325    /    Comments 0    /    Edit

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

### Create a matrix of floats with numpy

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')`
```

### Convert a matrix of floats into a matrix of integers

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')`
```

### References

##### Daidalos

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