|pypi| |actions| |codecov| |downloads|
edc-model-to-dataframe
----------------------
``ModelToDataframe`` exports EDC subject data into a pandas dataframe. On export it will add ``subject_identifier`` and
visit tracking columns specific to the EDC. Also, by default, encrypted fields are not exported.
M2M columns are joined into a single field value delimited by comma.
Note: If you are just exporting raw tables, use `django_pandas <https://github.com/chrisdev/django-pandas>`__ ``read_frame``.
Pass a model name:
.. code-block:: python
from django.apps import apps as django_apps
from edc_model_to_dataframe import ModelToDataframe
model = "meta_subject.followupexaminiation"
m = ModelToDataframe(model)
df = m.dataframe
Pass a queryset:
.. code-block:: python
# using a queryset
model_cls = django_apps.get_model("meta_subject.followupexaminiation")
m = ModelToDataframe(model_cls.objects.all())
df = m.dataframe
``read_frame_edc``: like in `django_pandas <https://github.com/chrisdev/django-pandas>`__, there is a ``read_frame`` -like function which wraps ModelToDataframe
.. code-block:: python
from edc_model_to_dataframe import read_frame_edc
model_cls = django_apps.get_model(model)
df = read_frame_edc(model_cls.objects.all())
.. |pypi| image:: https://img.shields.io/pypi/v/edc-model-to-dataframe.svg
:target: https://pypi.python.org/pypi/edc-model-to-dataframe
.. |actions| image:: https://github.com/clinicedc/edc-model-to-dataframe/actions/workflows/build.yml/badge.svg
:target: https://github.com/clinicedc/edc-model-to-dataframe/actions/workflows/build.yml
.. |codecov| image:: https://codecov.io/gh/clinicedc/edc-model-to-dataframe/branch/develop/graph/badge.svg
:target: https://codecov.io/gh/clinicedc/edc-model-to-dataframe
.. |downloads| image:: https://pepy.tech/badge/edc-model-to-dataframe
:target: https://pepy.tech/project/edc-model-to-dataframe
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"description": "|pypi| |actions| |codecov| |downloads|\n\nedc-model-to-dataframe\n----------------------\n\n``ModelToDataframe`` exports EDC subject data into a pandas dataframe. On export it will add ``subject_identifier`` and\nvisit tracking columns specific to the EDC. Also, by default, encrypted fields are not exported.\n\nM2M columns are joined into a single field value delimited by comma.\n\nNote: If you are just exporting raw tables, use `django_pandas <https://github.com/chrisdev/django-pandas>`__ ``read_frame``.\n\n\nPass a model name:\n\n.. code-block:: python\n\n from django.apps import apps as django_apps\n from edc_model_to_dataframe import ModelToDataframe\n\n model = \"meta_subject.followupexaminiation\"\n m = ModelToDataframe(model)\n df = m.dataframe\n\nPass a queryset:\n\n.. code-block:: python\n\n # using a queryset\n model_cls = django_apps.get_model(\"meta_subject.followupexaminiation\")\n m = ModelToDataframe(model_cls.objects.all())\n df = m.dataframe\n\n\n``read_frame_edc``: like in `django_pandas <https://github.com/chrisdev/django-pandas>`__, there is a ``read_frame`` -like function which wraps ModelToDataframe\n\n\n.. code-block:: python\n\n from edc_model_to_dataframe import read_frame_edc\n\n model_cls = django_apps.get_model(model)\n df = read_frame_edc(model_cls.objects.all())\n\n\n.. |pypi| image:: https://img.shields.io/pypi/v/edc-model-to-dataframe.svg\n :target: https://pypi.python.org/pypi/edc-model-to-dataframe\n\n.. |actions| image:: https://github.com/clinicedc/edc-model-to-dataframe/actions/workflows/build.yml/badge.svg\n :target: https://github.com/clinicedc/edc-model-to-dataframe/actions/workflows/build.yml\n\n.. |codecov| image:: https://codecov.io/gh/clinicedc/edc-model-to-dataframe/branch/develop/graph/badge.svg\n :target: https://codecov.io/gh/clinicedc/edc-model-to-dataframe\n\n.. |downloads| image:: https://pepy.tech/badge/edc-model-to-dataframe\n :target: https://pepy.tech/project/edc-model-to-dataframe\n",
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