Or:
data = [d for d in [get_job_efficiency_dict(job_id) for job_id in job_ids] if d
is not None]
or
for job_id in job_ids:
if (d := get_job_efficiency_dict(job_id)) is not None:
data.append(d)
Personally, I’d got with the latter in my own code.
—
Gerard Weatherby | Application Architect NMRbox | NAN | Department of Molecular
Biology and Biophysics
UConn Health 263 Farmington Avenue, Farmington, CT 06030-6406 uchc.edu
On Aug 4, 2022, 2:52 PM -0400, MRAB <[email protected]>, wrote:
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attachments or clicking on links. ***
On 2022-08-04 12:51, Loris Bennett wrote:
Hi,
I am constructing a list of dictionaries via the following list
comprehension:
data = [get_job_efficiency_dict(job_id) for job_id in job_ids]
However,
get_job_efficiency_dict(job_id)
uses 'subprocess.Popen' to run an external program and this can fail.
In this case, the dict should just be omitted from 'data'.
I can have 'get_job_efficiency_dict' return 'None' and then run
filtered_data = list(filter(None, data))
but is there a more elegant way?
I'm not sure how elegant it is, but:
data = [result for job_id in job_ids if (result :=
get_job_efficiency_dict(job_id)) is not None]
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