Skip to main content

Use pandas with clinicedc/edc projects

Project description

pypi actions codecov downloads

edc-pdutils

Use pandas with the Edc

To export Crf data, for example:

csv_path = '/Users/erikvw/Documents/ambition/export/'
date_format = '%Y-%m-%d'
sep = ','

class MyDfHandler(CrfDfHandler):
    visit_tbl = 'ambition_subject_subjectvisit'
    exclude_columns = ['form_as_json', 'survival_status','last_alive_date',
                       'screening_age_in_years', 'registration_datetime',
                       'subject_type']

class MyCsvCrfTablesExporter(CsvCrfTablesExporter):
    visit_columns = ['subject_visit_id']
    datetime_fields = ['randomization_datetime']
    df_handler_cls = MyDfHandler
    app_label = 'ambition_subject'
    export_folder = csv_path

sys.stdout.write('\n')
exporter = MyCsvCrfTablesExporter()
exporter.to_csv(date_format=date_format, delimiter=sep)

To export INLINE data for any CRF configured with an inline, for example:

class MyDfHandler(CrfDfHandler):
    visit_tbl = 'ambition_subject_subjectvisit'
    exclude_columns = ['form_as_json', 'survival_status','last_alive_date',
                       'screening_age_in_years', 'registration_datetime',
                       'subject_type']


class MyCsvCrfInlineTablesExporter(CsvCrfInlineTablesExporter):
    visit_columns = ['subject_visit_id']
    df_handler_cls = MyDfHandler
    app_label = 'ambition_subject'
    export_folder = csv_path
    exclude_inline_tables = [
        'ambition_subject_radiology_abnormal_results_reason',
        'ambition_subject_radiology_cxr_type']
sys.stdout.write('\n')
exporter = MyCsvCrfInlineTablesExporter()
exporter.to_csv(date_format=date_format, delimiter=sep)

Settings

EXPORT_FILENAME_TIMESTAMP_FORMAT: True/False (Default: False)

By default a timestamp of the current date is added as a suffix to CSV export filenames.

By default a timestamp of format %Y%m%d%H%M%S is added.

EXPORT_FILENAME_TIMESTAMP_FORMAT may be set to an empty string or a valid format for strftime.

If EXPORT_FILENAME_TIMESTAMP_FORMAT is set to an empty string, “”, a suffix is not added.

For example:

# default
registered_subject_20190203112555.csv

# EXPORT_FILENAME_TIMESTAMP_FORMAT = "%Y%m%d"
registered_subject_20190203.csv

# EXPORT_FILENAME_TIMESTAMP_FORMAT = ""
registered_subject.csv

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

edc_pdutils-0.3.4-py3-none-any.whl (55.9 kB view details)

Uploaded Python 3

File details

Details for the file edc_pdutils-0.3.4-py3-none-any.whl.

File metadata

  • Download URL: edc_pdutils-0.3.4-py3-none-any.whl
  • Upload date:
  • Size: 55.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.9.5

File hashes

Hashes for edc_pdutils-0.3.4-py3-none-any.whl
Algorithm Hash digest
SHA256 913b221b0821ec2638c96318e98dd970c98a1d592c561ed9e4d1035b8bb854e0
MD5 d9f254101a94a7a7357ff6787218d1b2
BLAKE2b-256 c690f71b038e252104f96ed5206bf4b7e95747d37895ca8641076abb56045d98

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page