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Editing journals/2020_10_08.org

:PROPERTIES:
:ID:       9107b54a-f6bb-4320-93a8-c25bc7f3c610
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#+title: 2020-10-08 - Thursday

* DONE Journal
CLOSED: [2020-10-09 Fri 08:36]
- Note taken on [2020-10-08 Thu 22:46]
  An incredibly windy day today. Bill Hutchins has been working on the new leech field and septic tank despite the weather. Watching the excavators move giant boulders and clear away some really rough ground has been impressive.
<2020-10-08 Thu>
* [[id:ac376401-a8b9-45c5-ab1a-4a77837bd03c][Partnership Squad Engineering Stand-up]]
<2020-10-08 Thu 8:30-9:00>
* DONE Address PR changes with DictReader from [[id:d788300f-c740-4ad2-ad58-f3e39e278488][ENG-12811]]
CLOSED: [2020-10-08 Thu 11:55]
:PROPERTIES:
:ID:       bcdb6518-c2c2-4c7e-a1f9-ae87d46f7869
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<2020-10-08 Thu>
#+begin_src python :results output
import csv

fields = ['email', 'first_name']

with open('/tmp/in.csv', newline='') as infile:
    reader = csv.DictReader(infile, fieldnames=fields)
    # We have our field names, just skip the header row
    next(reader)
    with open('/tmp/out.csv', 'w', newline='') as outfile:
        writer = csv.DictWriter(outfile, fieldnames=fields)
        writer.writeheader()
        for row in reader:
            del row[None]
            writer.writerow(row)
            print('Wrote row: ', row)

#+end_src

#+RESULTS:
: Wrote row:  {'email': 'colin@unbl.ink', 'first_name': 'Colin'}
: Wrote row:  {'email': 'jane@unbl.ink', 'first_name': 'Jane'}
: Wrote row:  {'email': 'logs@unbl.ink', 'first_name': 'Logs'}