spool.select behaves errors out when fed array/when samples parameter is False #447
Description
Description
When the samples parameter is set to True, the subspool returned by spool.select contains no patches. This issue seems to behave differently with different formats. In my situation, I have a file format PRODML, and I can get around this with a suggestion from @d-chambers to set the samples parameter to False and modify the query accordingly. However, when I try this with some of the dascore example patches, I get an error as long as the query is an array as opposed to numbers indicating the start and end of the select range.
Example
set-up
import dascore as dc
import numpy as np
mem_spool = dc.examples.random_spool()
dir_spool = dc.examples.spool_to_directory(mem_spool)
spool = dc.spool(dir_spool)
distance_coords = spool[0].coords.get_array('distance')
select_distance = distance_coords[np.arange(0, 298)]
This produces an error:
sub_spool = spool.select(distance=(select_distance))
print(sub_spool[0])
This does not produce an error:
start, end = 0, 100
sub_spool = spool.select(distance=(start, end))
print(sub_spool[0])
In the case of the PRODML files, the above cases work, but this case produces an error:
select_channels = np.arange(0, 298)
sub_spool = spool.select(distance=(select_channels), select=True)
print(sub_spool[0])
Expected behavior
Select data from some channels or distances into a new spool.
Versions
- OS: Windows 11
- DasCore Version: 0.1.3
- Python Version: 3.11