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
– hpaulj, Commented Aug 12, 2019 at 14:33

Bjarke Kingo · Accepted Answer · 2019-08-12 14:31:13Z

3

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

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

edited Aug 12, 2019 at 14:31

answered Aug 12, 2019 at 14:27

Bjarke Kingo

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4 Comments

hpaulj Over a year ago

elem is not None

brentertainer Over a year ago

For comparison with singletons (like None), elem is not None is the proper way to check. stackoverflow.com/questions/1504717/…

Bjarke Kingo Over a year ago

The None-type object is a great thing isn't it (;

Sebastian E Over a year ago

thanks, that is exactly what I need! Sometimes you just don't see the easy solutions :D

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