How can I access a numpy array column by name?

Question

I´ve this numpy array:

array([((-24560412,   18229,   62, 198, 201, 5, -1,   6, 1, 239176.42401979),),
   ...,
   ((-25883120, -681084, 2583, 278, 201, 5,  1, 255, 1, 239424.37447651),)],
  dtype=[('point', [('X', '<i4'), ('Y', '<i4'), ('Z', '<i4'), ('intensity', '<u2'), ('flag_byte', 'u1'), ('raw_classification', 'u1'), ('scan_angle_rank', 'i1'), ('user_data', 'u1'), ('pt_src_id', '<u2'), ('gps_time', '<f8')])])

How can I access Z column values as an array, like points['Z']?

I think the dtype description and the data I posted is enough to show the situation, and the data is huge as well. — Mauro Assis
– Mauro Assis, Commented Jun 22, 2019 at 20:34
This is a straight forward structured array access - except that you have fields within a field. arr['point'] gives you a simpler structured array. — hpaulj
– hpaulj, Commented Jun 22, 2019 at 21:16

Anna Nevison · Accepted Answer · 2019-06-22 20:49:14Z

1

you should be able to do:

array_name['point']['Z']

edited Jun 22, 2019 at 20:49

answered Jun 22, 2019 at 20:37

Anna Nevison

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3 Comments

seralouk Over a year ago

yes. You need to use code format when you write code. Use 4 spaces for the code line

Anna Nevison Over a year ago

@serafeim ohhh understand now, sorry, I rolled-back before I saw this because I was so confused. But I just rolled-back to your revision, thank you!

Imperishable Night Over a year ago

Notice that triple ticks (```) before and after a code block also works, which is probably more convenient for large blocks of code.

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