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Converting None to NaN in numpy when casting a list to numpy arrays #numpy #c0ldlimit #python
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gistfile1.py
import numpy as np
x = array([3,4,None,55])
y = np.array(x,dtype=float)
# OR
y = np.array(x)
z = y.astype(float)
@sremm
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sremm commented Mar 8, 2021

Thanks, this was just what i was looking for ;)

@ernstklrb
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I got here while looking for the reverse operation. It can be done like this: u = np.where(np.isnan(y), None, y).tolist()

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