How to remove None rows from numpy array of arrays?

Question

I have an array looking like this:

[array([268.95504761,  -4.17598009, 404.12548828])
array([268.9979248 ,  -4.15205622, 404.09713745])
array([269.00808716,  -4.14346504, 404.07214355])
array([280.63632202,  -8.46781635, 398.50079346])
None 
None 
array([281.69018555,  -9.98347282, 390.9984436 ])]

How do I remove the None lines? All method I found assumed the regular case of a normal 2D array containing some None elements.

What methods have you tries? Remember this is a 1d object dtype array (or a list], not a 2d numeric array. — hpaulj, Aug 12 '19 at 14:33

Bjarke Kingo · Accepted Answer · 2019-08-12T14:31:13.513

3

[elem for elem in my_list if elem is not None]

Simple list-comprehension? Correct me if I misunderstood you :-)

edited Aug 12 '19 at 14:31

answered Aug 12 '19 at 14:27

Bjarke Kingo

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`elem is not None` – hpaulj Aug 12 '19 at 14:30
1

For comparison with singletons (like `None`), `elem is not None` is the proper way to check. https://stackoverflow.com/questions/1504717/why-does-comparing-strings-using-either-or-is-sometimes-produce-a-differe – brentertainer Aug 12 '19 at 14:30
The None-type object is a great thing isn't it (; – Bjarke Kingo Aug 12 '19 at 14:34
thanks, that is exactly what I need! Sometimes you just don't see the easy solutions :D – Sebastian E Aug 12 '19 at 14:37

How to remove None rows from numpy array of arrays?

1 Answers1