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 read_frame.
Pass a model name:
from django.apps import apps as django_apps
from edc_model_to_dataframe import ModelToDataframe
model = "meta_subject.followupexaminiation"
m = ModelToDataframe(model)
df = m.dataframePass a queryset:
# using a queryset
model_cls = django_apps.get_model("meta_subject.followupexaminiation")
m = ModelToDataframe(model_cls.objects.all())
df = m.dataframeread_frame_edc: like in django_pandas, there is a read_frame -like function which wraps ModelToDataframe
from edc_model_to_dataframe import read_frame_edc
model_cls = django_apps.get_model(model)
df = read_frame_edc(model_cls.objects.all())1 maintainer
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1 maintainer
Release files for edc-model-to-dataframe 1.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| edc_model_to_dataframe-1.0.1.tar.gz | 36.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| edc_model_to_dataframe-1.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 72.7 kB
Release files / edc_model_to_dataframe-1.0.1.tar.gz
| Download URL | edc_model_to_dataframe-1.0.1.tar.gz |
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| Size | 36.0 kB |
| Tags | Source |
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Release files / edc_model_to_dataframe-1.0.1-py3-none-any.whl
| Download URL | edc_model_to_dataframe-1.0.1-py3-none-any.whl |
|---|---|
| Size | 36.7 kB |
| Tags | Python 3 |
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