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.. _reg-gotchas:
.. currentmodule:: pywt
=======
Gotchas
=======
PyWavelets utilizes ``NumPy`` under the hood. That's why handling the data
containing ``None`` values can be surprising. ``None`` values are converted to
'not a number' (``numpy.NaN``) values:
>>> import numpy, pywt
>>> x = [None, None]
>>> mode = 'sym'
>>> wavelet = 'db1'
>>> cA, cD = pywt.dwt(x, wavelet, mode)
>>> numpy.all(numpy.isnan(cA))
True
>>> numpy.all(numpy.isnan(cD))
True
>>> rec = pywt.idwt(cA, cD, wavelet, mode)
>>> numpy.all(numpy.isnan(rec))
True
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